Cyber Security [[electronic resource] ] : 17th China Annual Conference, CNCERT 2020, Beijing, China, August 12, 2020, Revised Selected Papers / / edited by Wei Lu, Qiaoyan Wen, Yuqing Zhang, Bo Lang, Weiping Wen, Hanbing Yan, Chao Li, Li Ding, Ruiguang Li, Yu Zhou |
Autore | Lu Wei |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Springer Nature, 2020 |
Descrizione fisica | 1 online resource (X, 235 p. 108 illus., 70 illus. in color.) |
Disciplina | 005.8 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer security
Computer communication systems Application software Architecture, Computer Data encryption (Computer science) Computer networks - Security measures Systems and Data Security Computer Communication Networks Information Systems Applications (incl. Internet) Computer System Implementation Cryptology Mobile and Network Security |
Soggetto non controllato |
Systems and Data Security
Computer Communication Networks Information Systems Applications (incl. Internet) Computer System Implementation Cryptology Mobile and Network Security Data and Information Security Computer and Information Systems Applications communication channels (information theory) communication systems computer crime computer hardware computer networks computer security computer systems cryptography data communication systems data security databases network protocols network security sensors signal processing telecommunication networks telecommunication systems telecommunication traffic wireless telecommunication systems Network hardware Information retrieval Internet searching Systems analysis & design Coding theory & cryptology Data encryption |
ISBN | 981-334-922-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Access Control -- Cryptography -- Denial-of-Service Attacks -- Hardware Security Implementation -- Intrusion/Anomaly Detection and Malware Mitigation -- Social Network Security and Privacy.-Systems Security. |
Record Nr. | UNINA-9910447240103321 |
Lu Wei
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Springer Nature, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Cyber Security [[electronic resource] ] : 17th China Annual Conference, CNCERT 2020, Beijing, China, August 12, 2020, Revised Selected Papers / / edited by Wei Lu, Qiaoyan Wen, Yuqing Zhang, Bo Lang, Weiping Wen, Hanbing Yan, Chao Li, Li Ding, Ruiguang Li, Yu Zhou |
Autore | Lu Wei |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Springer Nature, 2020 |
Descrizione fisica | 1 online resource (X, 235 p. 108 illus., 70 illus. in color.) |
Disciplina | 005.8 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer security
Computer communication systems Application software Architecture, Computer Data encryption (Computer science) Computer networks - Security measures Systems and Data Security Computer Communication Networks Information Systems Applications (incl. Internet) Computer System Implementation Cryptology Mobile and Network Security |
Soggetto non controllato |
Systems and Data Security
Computer Communication Networks Information Systems Applications (incl. Internet) Computer System Implementation Cryptology Mobile and Network Security Data and Information Security Computer and Information Systems Applications communication channels (information theory) communication systems computer crime computer hardware computer networks computer security computer systems cryptography data communication systems data security databases network protocols network security sensors signal processing telecommunication networks telecommunication systems telecommunication traffic wireless telecommunication systems Network hardware Information retrieval Internet searching Systems analysis & design Coding theory & cryptology Data encryption |
ISBN | 981-334-922-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Access Control -- Cryptography -- Denial-of-Service Attacks -- Hardware Security Implementation -- Intrusion/Anomaly Detection and Malware Mitigation -- Social Network Security and Privacy.-Systems Security. |
Record Nr. | UNISA-996465362903316 |
Lu Wei
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Springer Nature, 2020 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Information Retrieval [[electronic resource] ] : 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings / / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.) |
Disciplina | 025.04 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Information storage and retrieval systems
Computer engineering Computer networks Database management Electronic commerce Social sciences—Data processing Computers Information Storage and Retrieval Computer Engineering and Networks Database Management e-Commerce and e-Business Computer Application in Social and Behavioral Sciences Computing Milieux |
ISBN | 3-030-56725-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Search and Recommendation -- Improving Search Snippets in Context-aware Web Search Scenarios -- Investigating Fine-grained Usefulness Perception Process in Mobile Search -- ResFusion: A Residual Learning based Fusion Framework for CTR Prediction -- NLP for IR -- A Framework for Identifying Event's Relevance Comments in Twitter -- Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction -- Leveraging Label Semantics and Correlations for Judgment Prediction -- Position-aware hybrid attention network for Aspect-level Sentiment Analysis -- IR in Finance -- An Integrated Machine Learning Framework for Stock Price Prediction -- Empirical Research on Futures Trading Strategy Based on Time Series Algorithm -- Hierarchical Attention Network in Stock Prediction -- Online Topic Detection and Tracking System and its Application on Stock Market in China -- Semi-Supervised Sentiment Analysis for Chinese Stock Texts in Scarce Labeled Data Scenario and Price Prediction. |
Record Nr. | UNISA-996418281103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Information Retrieval : 26th China Conference, CCIR 2020, Xi'an, China, August 14–16, 2020, Proceedings / / edited by Zhicheng Dou, Qiguang Miao, Wei Lu, Jiaxin Mao, Guang Jia |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XII, 161 p. 48 illus., 42 illus. in color.) |
Disciplina | 025.04 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Information storage and retrieval systems
Computer engineering Computer networks Database management Electronic commerce Social sciences—Data processing Computers Information Storage and Retrieval Computer Engineering and Networks Database Management e-Commerce and e-Business Computer Application in Social and Behavioral Sciences Computing Milieux |
ISBN | 3-030-56725-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Search and Recommendation -- Improving Search Snippets in Context-aware Web Search Scenarios -- Investigating Fine-grained Usefulness Perception Process in Mobile Search -- ResFusion: A Residual Learning based Fusion Framework for CTR Prediction -- NLP for IR -- A Framework for Identifying Event's Relevance Comments in Twitter -- Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction -- Leveraging Label Semantics and Correlations for Judgment Prediction -- Position-aware hybrid attention network for Aspect-level Sentiment Analysis -- IR in Finance -- An Integrated Machine Learning Framework for Stock Price Prediction -- Empirical Research on Futures Trading Strategy Based on Time Series Algorithm -- Hierarchical Attention Network in Stock Prediction -- Online Topic Detection and Tracking System and its Application on Stock Market in China -- Semi-Supervised Sentiment Analysis for Chinese Stock Texts in Scarce Labeled Data Scenario and Price Prediction. |
Record Nr. | UNINA-9910416085703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Knowledge Management in Organizations : 12th International Conference, KMO 2017, Beijing, China, August 21-24, 2017, Proceedings / / edited by Lorna Uden, Wei Lu, I-Hsien Ting |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIII, 562 p. 176 illus.) |
Disciplina | 658.4038 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Information technology Business—Data processing Data mining Application software Artificial Intelligence IT in Business Data Mining and Knowledge Discovery Computer Appl. in Administrative Data Processing |
ISBN | 3-319-62698-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Knowledge Management Models and Behaviour Studies -- Knowledge Sharing -- Knowledge Transfer and Learning -- Knowledge and Service Innovation; Knowledge and Organization -- Information Systems Research -- Value Chain and Supply Chain -- Knowledge Re-presentation and Reasoning -- Data Mining and Intelligent Science -- Big Data Management -- Internet of Things and Network. |
Record Nr. | UNINA-9910254811303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Natural language processing and Chinese computing . Part II : 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, proceedings / / Wei Lu [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (385 pages) |
Disciplina | 495.10285 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Chinese language - Data processing
Natural language processing (Computer science) |
ISBN | 3-031-17189-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Question Answering (Poster) -- Faster and Better Grammar-Based Text-to-SQL Parsing via Clause-Level Parallel Decoding and Alignment Loss -- 1 Introduction -- 2 Related Works -- 3 Our Proposed Model -- 3.1 Grammar-Based Text-to-SQL Parsing -- 3.2 Clause-Level Parallel Decoding -- 3.3 Clause-Level Alignment Loss -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 4.3 Analysis -- 5 Conclusions -- References -- Two-Stage Query Graph Selection for Knowledge Base Question Answering -- 1 Introduction -- 2 Our Approach -- 2.1 Query Graph Generation -- 2.2 Two-Stage Query Graph Selection -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Main Results -- 3.3 Discussion and Analysis -- 4 Related Work -- 5 Conclusions -- References -- Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension -- 1 Introduction -- 2 Methodology -- 2.1 Task Formulation -- 2.2 Proposed Module: PIECER -- 2.3 Plugging PIECER into MRC Models -- 3 Experiments -- 3.1 Datasets -- 3.2 Base Models -- 3.3 Experimental Settings -- 3.4 Main Results -- 3.5 Analysis and Discussions -- 4 Related Work -- 5 Conclusion -- References -- Social Media and Sentiment Analysis (Poster) -- FuDFEND: Fuzzy-Domain for Multi-domain Fake News Detection -- 1 Introduction -- 2 Related Work -- 2.1 Fake News Detection Methods -- 2.2 Multi-domain Rumor Task -- 3 FuDFEND: Fuzzy-Domain Fake News Detection Model -- 3.1 Membership Function -- 3.2 Feature Extraction -- 3.3 Domain Gate -- 3.4 Fake News Prediction and Loss Function -- 4 Experiment -- 4.1 Dataset -- 4.2 Experiment Setting -- 4.3 Train Membership Function and FuDFEND -- 4.4 Experiment on Weibo21 -- 4.5 Experiment on Thu Dataset -- 5 Conclusion -- 6 Future Work -- References -- NLP Applications and Text Mining (Poster).
Continuous Prompt Enhanced Biomedical Entity Normalization -- 1 Introduction -- 2 Related Work -- 2.1 Biomedical Entity Normalization -- 2.2 Prompt Learning and Contrastive Loss -- 3 Our Method -- 3.1 Prompt Enhanced Scoring Mechanism -- 3.2 Contrastive Loss Enhanced Training Mechanism -- 4 Experiments and Analysis -- 4.1 Dataset and Evaluation -- 4.2 Data Preprocessing -- 4.3 Experiment Setting -- 4.4 Overall Performance -- 4.5 Ablation Study -- 5 Conclusion -- References -- Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification -- 1 Introduction -- 2 Model -- 2.1 Preliminaries -- 2.2 Bidirectional Multi-channel Semantic Interaction Model -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 Results and Analysis -- 3.3 Ablation Test -- 4 Conclusions -- References -- Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 TReaderXML -- 4 Experiments -- 4.1 Datasets and Preprocessing -- 4.2 Baselines -- 4.3 Evaluation Metrics -- 4.4 Ablation Study -- 4.5 Performance on Tail Labels -- 5 Conclusions -- References -- MGEDR: A Molecular Graph Encoder for Drug Recommendation -- 1 Introduction -- 2 Related Works -- 2.1 Drug Recommendation -- 2.2 Molecular Graph Representation -- 3 Problem Formulation -- 4 The MGEDR Model -- 4.1 Patient Encoder -- 4.2 Medicine Encoder -- 4.3 Functional Groups Encoder -- 4.4 Medicine Representation -- 4.5 Optimization -- 5 Experiments -- 5.1 Dataset and Metrics -- 5.2 Results -- 5.3 Ablations -- 6 Conclusion -- References -- Student Workshop (Poster) -- Semi-supervised Protein-Protein Interactions Extraction Method Based on Label Propagation and Sentence Embedding -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Problem Formulation -- 3.2 Overall Workflow. 3.3 Label Propagation -- 3.4 Sentence Embedding -- 3.5 CNN Classifier -- 4 Results -- 4.1 Datasets and Preprocessing -- 4.2 Experimental Results -- 4.3 Hyperparameter Analysis -- 5 Conclusion -- References -- Construction and Application of a Large-Scale Chinese Abstractness Lexicon Based on Word Similarity -- 1 Introduction -- 2 Data and Method -- 2.1 Data -- 2.2 Method -- 3 Experiment -- 4 Construction and Evaluation -- 5 Application -- 5.1 Cross-Language Comparison -- 5.2 Chinese Text Readability Auto-evaluation -- 6 Conclusion -- References -- Stepwise Masking: A Masking Strategy Based on Stepwise Regression for Pre-training -- 1 Introduction -- 2 Methodology -- 2.1 Three-Stage Framework -- 2.2 Stepwise Masking -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Settings -- 3.3 Main Results -- 3.4 Effectiveness of Stepwise Masking -- 3.5 Effect of Dynamic in Stepwise Masking -- 3.6 Case Study -- 4 Conclusion and Future Work -- References -- Evaluation Workshop (Poster) -- Context Enhanced and Data Augmented W2NER System for Named Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Task Definition -- 3.2 Model Structure -- 3.3 Data Augmentation -- 3.4 Result Ensemble -- 4 Experiments -- 4.1 Dataset and Metric -- 4.2 Experiment Settings -- 4.3 Baselines -- 4.4 Results and Analysis -- 5 Conclusion -- References -- Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 2.1 Hierarchical Multi-label Text Classification -- 2.2 Representation of Scientific Literature -- 3 Methodology -- 3.1 Representation Layer -- 3.2 Hierarchical Cross-Attention Recursive Layer -- 3.3 Hierarchical Prediction Layer -- 3.4 Rebalanced Loss Function -- 4 Experiment -- 4.1 Dataset and Evaluation -- 4.2 Experimental Settings -- 4.3 Results and Discussions. 4.4 Module Analysis -- 5 Conclusion -- References -- An Interactive Fusion Model for Hierarchical Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 3 Task Definition -- 4 Method -- 4.1 Shared Encoder Module -- 4.2 Task-Specific Module -- 4.3 Training and Inference -- 5 Experiment -- 6 Conclusion -- References -- Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation -- 1 Introduction -- 2 Task Introduction -- 2.1 Problem Definition -- 2.2 Evaluation Metric -- 2.3 Dateset -- 3 Main Methods -- 3.1 Multi-tasking Multi-modal Dialogue Understanding -- 3.2 Scene-Aware Prompt Multi-modal Dialogue Generation -- 3.3 Training and Inference -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Main Results -- 4.3 Ablation Study -- 4.4 Online Results -- 5 Conclusion -- References -- BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network -- 1 Introduction -- 2 Approach -- 2.1 Context-Aware Label Embedding -- 2.2 Graph-Based Hierarchical Label Modeling -- 2.3 Curriculum Learning Strategy -- 2.4 Ensemble Learning and Post Editing -- 3 Experiments -- 3.1 Dataset and Experiment Settings -- 3.2 Main Results -- 3.3 Analysis -- 4 Related Work -- 5 Conclusion -- References -- CDAIL-BIAS MEASURER: A Model Ensemble Approach for Dialogue Social Bias Measurement -- 1 Introduction -- 2 Related Work -- 2.1 Shared Tasks -- 2.2 Solution Models -- 3 Dataset -- 4 Method -- 4.1 Models Selection -- 4.2 Fine-Tuning Strategies -- 4.3 Ensembling Strategy -- 5 Result -- 5.1 Preliminary Screening -- 5.2 Model Ensemble -- 5.3 Ensemble Size Effect -- 5.4 Discussion -- 6 Conclusion -- References -- A Pre-trained Language Model for Medical Question Answering Based on Domain Adaption -- 1 Introduction -- 2 Related Work -- 2.1 Encoder-Based -- 2.2 Decoder-Based -- 2.3 Encoder-Decoder-Based. 3 Description of the Competition -- 3.1 Evaluation Metrics -- 3.2 Datasets -- 4 Solution -- 4.1 Model Introduction -- 4.2 Strategy -- 4.3 Model Optimization -- 4.4 Model Evaluation -- 5 Conclusion -- References -- Enhancing Entity Linking with Contextualized Entity Embeddings -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dual Encoder -- 3.2 LUKE-Based Cross-Encoder -- 4 Experiments -- 4.1 Data -- 4.2 Candidate Retrieval -- 4.3 Candidate Reranking -- 5 Conclusion -- References -- A Fine-Grained Social Bias Measurement Framework for Open-Domain Dialogue Systems -- 1 Introduction -- 2 Related Work -- 2.1 Fine Grained Dialogue Social Bias Measurement -- 2.2 Application of Contrastive Learning in NLP Tasks -- 2.3 Application of Prompt Learning in NLP Tasks -- 3 Fine-Grain Dialogue Social Bias Measurement Framework -- 3.1 General Representation Module -- 3.2 Two-Stage Prompt Learning Module -- 3.3 Contrastive Learning Module -- 4 Experiment -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Dialogue Topic Extraction as Sentence Sequence Labeling -- 1 Introduction -- 2 Related Work -- 2.1 Dialogue Topic Information -- 2.2 Sequence Labeling -- 3 Methodology -- 3.1 Task Definition -- 3.2 Topic Extraction Model -- 3.3 Ensemble Model -- 4 Experiments -- 4.1 Dataset -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Knowledge Enhanced Pre-trained Language Model for Product Summarization -- 1 Introduction -- 2 Related Work -- 2.1 Encoder-Decoder Transformer -- 2.2 Decoder-Only Transformer -- 3 Description of the Competition -- 4 Dataset Introduction -- 4.1 Textual Data -- 4.2 Image Data -- 5 Model Solution -- 5.1 Model Introduction -- 5.2 Model Training -- 6 Model Evaluation -- 7 Conclusion -- References -- Augmented Topic-Specific Summarization for Domain Dialogue Text -- 1 Introduction. 2 Related Work. |
Record Nr. | UNINA-9910595031503321 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Natural language processing and Chinese computing . Part II : 11th CCF International Conference, NLPCC 2022, Guilin, China, September 24-25, 2022, proceedings / / Wei Lu [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (385 pages) |
Disciplina | 495.10285 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Chinese language - Data processing
Natural language processing (Computer science) |
ISBN | 3-031-17189-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Question Answering (Poster) -- Faster and Better Grammar-Based Text-to-SQL Parsing via Clause-Level Parallel Decoding and Alignment Loss -- 1 Introduction -- 2 Related Works -- 3 Our Proposed Model -- 3.1 Grammar-Based Text-to-SQL Parsing -- 3.2 Clause-Level Parallel Decoding -- 3.3 Clause-Level Alignment Loss -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 4.3 Analysis -- 5 Conclusions -- References -- Two-Stage Query Graph Selection for Knowledge Base Question Answering -- 1 Introduction -- 2 Our Approach -- 2.1 Query Graph Generation -- 2.2 Two-Stage Query Graph Selection -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Main Results -- 3.3 Discussion and Analysis -- 4 Related Work -- 5 Conclusions -- References -- Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension -- 1 Introduction -- 2 Methodology -- 2.1 Task Formulation -- 2.2 Proposed Module: PIECER -- 2.3 Plugging PIECER into MRC Models -- 3 Experiments -- 3.1 Datasets -- 3.2 Base Models -- 3.3 Experimental Settings -- 3.4 Main Results -- 3.5 Analysis and Discussions -- 4 Related Work -- 5 Conclusion -- References -- Social Media and Sentiment Analysis (Poster) -- FuDFEND: Fuzzy-Domain for Multi-domain Fake News Detection -- 1 Introduction -- 2 Related Work -- 2.1 Fake News Detection Methods -- 2.2 Multi-domain Rumor Task -- 3 FuDFEND: Fuzzy-Domain Fake News Detection Model -- 3.1 Membership Function -- 3.2 Feature Extraction -- 3.3 Domain Gate -- 3.4 Fake News Prediction and Loss Function -- 4 Experiment -- 4.1 Dataset -- 4.2 Experiment Setting -- 4.3 Train Membership Function and FuDFEND -- 4.4 Experiment on Weibo21 -- 4.5 Experiment on Thu Dataset -- 5 Conclusion -- 6 Future Work -- References -- NLP Applications and Text Mining (Poster).
Continuous Prompt Enhanced Biomedical Entity Normalization -- 1 Introduction -- 2 Related Work -- 2.1 Biomedical Entity Normalization -- 2.2 Prompt Learning and Contrastive Loss -- 3 Our Method -- 3.1 Prompt Enhanced Scoring Mechanism -- 3.2 Contrastive Loss Enhanced Training Mechanism -- 4 Experiments and Analysis -- 4.1 Dataset and Evaluation -- 4.2 Data Preprocessing -- 4.3 Experiment Setting -- 4.4 Overall Performance -- 4.5 Ablation Study -- 5 Conclusion -- References -- Bidirectional Multi-channel Semantic Interaction Model of Labels and Texts for Text Classification -- 1 Introduction -- 2 Model -- 2.1 Preliminaries -- 2.2 Bidirectional Multi-channel Semantic Interaction Model -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 Results and Analysis -- 3.3 Ablation Test -- 4 Conclusions -- References -- Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation -- 3.2 TReaderXML -- 4 Experiments -- 4.1 Datasets and Preprocessing -- 4.2 Baselines -- 4.3 Evaluation Metrics -- 4.4 Ablation Study -- 4.5 Performance on Tail Labels -- 5 Conclusions -- References -- MGEDR: A Molecular Graph Encoder for Drug Recommendation -- 1 Introduction -- 2 Related Works -- 2.1 Drug Recommendation -- 2.2 Molecular Graph Representation -- 3 Problem Formulation -- 4 The MGEDR Model -- 4.1 Patient Encoder -- 4.2 Medicine Encoder -- 4.3 Functional Groups Encoder -- 4.4 Medicine Representation -- 4.5 Optimization -- 5 Experiments -- 5.1 Dataset and Metrics -- 5.2 Results -- 5.3 Ablations -- 6 Conclusion -- References -- Student Workshop (Poster) -- Semi-supervised Protein-Protein Interactions Extraction Method Based on Label Propagation and Sentence Embedding -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Problem Formulation -- 3.2 Overall Workflow. 3.3 Label Propagation -- 3.4 Sentence Embedding -- 3.5 CNN Classifier -- 4 Results -- 4.1 Datasets and Preprocessing -- 4.2 Experimental Results -- 4.3 Hyperparameter Analysis -- 5 Conclusion -- References -- Construction and Application of a Large-Scale Chinese Abstractness Lexicon Based on Word Similarity -- 1 Introduction -- 2 Data and Method -- 2.1 Data -- 2.2 Method -- 3 Experiment -- 4 Construction and Evaluation -- 5 Application -- 5.1 Cross-Language Comparison -- 5.2 Chinese Text Readability Auto-evaluation -- 6 Conclusion -- References -- Stepwise Masking: A Masking Strategy Based on Stepwise Regression for Pre-training -- 1 Introduction -- 2 Methodology -- 2.1 Three-Stage Framework -- 2.2 Stepwise Masking -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Settings -- 3.3 Main Results -- 3.4 Effectiveness of Stepwise Masking -- 3.5 Effect of Dynamic in Stepwise Masking -- 3.6 Case Study -- 4 Conclusion and Future Work -- References -- Evaluation Workshop (Poster) -- Context Enhanced and Data Augmented W2NER System for Named Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Task Definition -- 3.2 Model Structure -- 3.3 Data Augmentation -- 3.4 Result Ensemble -- 4 Experiments -- 4.1 Dataset and Metric -- 4.2 Experiment Settings -- 4.3 Baselines -- 4.4 Results and Analysis -- 5 Conclusion -- References -- Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 2.1 Hierarchical Multi-label Text Classification -- 2.2 Representation of Scientific Literature -- 3 Methodology -- 3.1 Representation Layer -- 3.2 Hierarchical Cross-Attention Recursive Layer -- 3.3 Hierarchical Prediction Layer -- 3.4 Rebalanced Loss Function -- 4 Experiment -- 4.1 Dataset and Evaluation -- 4.2 Experimental Settings -- 4.3 Results and Discussions. 4.4 Module Analysis -- 5 Conclusion -- References -- An Interactive Fusion Model for Hierarchical Multi-label Text Classification -- 1 Introduction -- 2 Related Work -- 3 Task Definition -- 4 Method -- 4.1 Shared Encoder Module -- 4.2 Task-Specific Module -- 4.3 Training and Inference -- 5 Experiment -- 6 Conclusion -- References -- Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation -- 1 Introduction -- 2 Task Introduction -- 2.1 Problem Definition -- 2.2 Evaluation Metric -- 2.3 Dateset -- 3 Main Methods -- 3.1 Multi-tasking Multi-modal Dialogue Understanding -- 3.2 Scene-Aware Prompt Multi-modal Dialogue Generation -- 3.3 Training and Inference -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Main Results -- 4.3 Ablation Study -- 4.4 Online Results -- 5 Conclusion -- References -- BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network -- 1 Introduction -- 2 Approach -- 2.1 Context-Aware Label Embedding -- 2.2 Graph-Based Hierarchical Label Modeling -- 2.3 Curriculum Learning Strategy -- 2.4 Ensemble Learning and Post Editing -- 3 Experiments -- 3.1 Dataset and Experiment Settings -- 3.2 Main Results -- 3.3 Analysis -- 4 Related Work -- 5 Conclusion -- References -- CDAIL-BIAS MEASURER: A Model Ensemble Approach for Dialogue Social Bias Measurement -- 1 Introduction -- 2 Related Work -- 2.1 Shared Tasks -- 2.2 Solution Models -- 3 Dataset -- 4 Method -- 4.1 Models Selection -- 4.2 Fine-Tuning Strategies -- 4.3 Ensembling Strategy -- 5 Result -- 5.1 Preliminary Screening -- 5.2 Model Ensemble -- 5.3 Ensemble Size Effect -- 5.4 Discussion -- 6 Conclusion -- References -- A Pre-trained Language Model for Medical Question Answering Based on Domain Adaption -- 1 Introduction -- 2 Related Work -- 2.1 Encoder-Based -- 2.2 Decoder-Based -- 2.3 Encoder-Decoder-Based. 3 Description of the Competition -- 3.1 Evaluation Metrics -- 3.2 Datasets -- 4 Solution -- 4.1 Model Introduction -- 4.2 Strategy -- 4.3 Model Optimization -- 4.4 Model Evaluation -- 5 Conclusion -- References -- Enhancing Entity Linking with Contextualized Entity Embeddings -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dual Encoder -- 3.2 LUKE-Based Cross-Encoder -- 4 Experiments -- 4.1 Data -- 4.2 Candidate Retrieval -- 4.3 Candidate Reranking -- 5 Conclusion -- References -- A Fine-Grained Social Bias Measurement Framework for Open-Domain Dialogue Systems -- 1 Introduction -- 2 Related Work -- 2.1 Fine Grained Dialogue Social Bias Measurement -- 2.2 Application of Contrastive Learning in NLP Tasks -- 2.3 Application of Prompt Learning in NLP Tasks -- 3 Fine-Grain Dialogue Social Bias Measurement Framework -- 3.1 General Representation Module -- 3.2 Two-Stage Prompt Learning Module -- 3.3 Contrastive Learning Module -- 4 Experiment -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Dialogue Topic Extraction as Sentence Sequence Labeling -- 1 Introduction -- 2 Related Work -- 2.1 Dialogue Topic Information -- 2.2 Sequence Labeling -- 3 Methodology -- 3.1 Task Definition -- 3.2 Topic Extraction Model -- 3.3 Ensemble Model -- 4 Experiments -- 4.1 Dataset -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Knowledge Enhanced Pre-trained Language Model for Product Summarization -- 1 Introduction -- 2 Related Work -- 2.1 Encoder-Decoder Transformer -- 2.2 Decoder-Only Transformer -- 3 Description of the Competition -- 4 Dataset Introduction -- 4.1 Textual Data -- 4.2 Image Data -- 5 Model Solution -- 5.1 Model Introduction -- 5.2 Model Training -- 6 Model Evaluation -- 7 Conclusion -- References -- Augmented Topic-Specific Summarization for Domain Dialogue Text -- 1 Introduction. 2 Related Work. |
Record Nr. | UNISA-996490354603316 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Natural language processing and Chinese computing : 11th CCF international conference, NLPCC 2022, Guilin, China, September 24-25, 2022, proceedings, Part I / / edited by Wei Lu [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (878 pages) |
Disciplina | 495.10285 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Chinese language - Data processing
Natural language processing (Computer science) |
ISBN | 3-031-17120-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Fundamentals of NLP (Oral) -- Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models -- 1 Introduction -- 2 Related Work -- 3 Multiple Word Segmentation Aggregation -- 4 Projecting Word Semantics to Character Representation -- 4.1 Integrating Word Embedding to Character Representation -- 4.2 Mixing Character Representations Within a Word -- 4.3 Fusing New Character Embedding to Sentence Representation -- 5 Experimental Setup -- 5.1 Tasks and Datasets -- 5.2 Baseline Models -- 5.3 Training Details -- 6 Results and Analysis -- 6.1 Overall Results -- 6.2 Ablation Study -- 6.3 Case Study -- 7 Conclusion -- References -- PGBERT: Phonology and Glyph Enhanced Pre-training for Chinese Spelling Correction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Problem and Motivation -- 3.2 Model -- 4 Experiment -- 4.1 Pre-training -- 4.2 Fine Tuning -- 4.3 Parameter Setting -- 4.4 Baseline Models -- 4.5 Main Results -- 4.6 Ablation Experiments -- 5 Conclusions -- References -- MCER: A Multi-domain Dataset for Sentence-Level Chinese Ellipsis Resolution -- 1 Introduction -- 2 Definition of Ellipsis -- 2.1 Ellipsis for Chinese NLP -- 2.2 Explanations -- 3 Dataset -- 3.1 Annotation -- 3.2 Dataset Analysis -- 3.3 Annotation Format -- 3.4 Considerations -- 4 Experiments -- 4.1 Baseline Methods -- 4.2 Evaluation Metrics -- 4.3 Results -- 5 Conclusion -- References -- Two-Layer Context-Enhanced Representation for Better Chinese Discourse Parsing -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Basic Principles of Transition-Based Approach -- 3.2 Bottom Layer of Enhanced Context Representation: Intra-EDU Encoder with GCN -- 3.3 Upper Layer of Enhanced Context Representation: Inter-EDU Encoder with Star-Transformer -- 3.4 SPINN-Based Decoder.
3.5 Training Loss -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Overall Experimental Results -- 4.3 Compared with Other Parsing Framework -- 5 Conclusion -- References -- How Effective and Robust is Sentence-Level Data Augmentation for Named Entity Recognition? -- 1 Introduction -- 2 Methodology -- 2.1 CMix -- 2.2 CombiMix -- 2.3 TextMosaic -- 3 Experiment -- 3.1 Datasets -- 3.2 Experimental Setup -- 3.3 Results of Effectiveness Evaluation -- 3.4 Study of the Sample Size After Data Augmentation -- 3.5 Results of Robustness Evaluation -- 3.6 Results of CCIR Cup -- 4 Conclusion -- References -- Machine Translation and Multilinguality (Oral) -- Random Concatenation: A Simple Data Augmentation Method for Neural Machine Translation -- 1 Introduction -- 2 Related Works -- 3 Approach -- 3.1 Vanilla Randcat -- 3.2 Randcat with Back-Translation -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Translation Performance -- 4.3 Analysis -- 4.4 Additional Experiments -- 5 Conclusions -- References -- Contrastive Learning for Robust Neural Machine Translation with ASR Errors -- 1 Introduction -- 2 Related Work -- 2.1 Robust Neural Machine Translation -- 2.2 Contrastive Learning -- 3 NISTasr Test Dataset -- 4 Our Approach -- 4.1 Overview -- 4.2 Constructing Perturbed Inputs -- 5 Experimentation -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 5.3 Ablation Analysis -- 5.4 Effect on Hyper-Parameter -- 5.5 Case Study -- 6 Conclusion -- References -- An Enhanced New Word Identification Approach Using Bilingual Alignment -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Architecture -- 3.2 Multi-new Model -- 3.3 Bilingual Identification Algorithm -- 4 Experiment -- 4.1 Datasets -- 4.2 Results of Multi-new Model -- 4.3 Results of NEWBA-P Model and NEWBA-E Model -- 5 Conclusions -- References -- Machine Learning for NLP (Oral). Multi-task Learning with Auxiliary Cross-attention Transformer for Low-Resource Multi-dialect Speech Recognition -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Two Task Streams -- 3.2 Auxiliary Cross-attention -- 4 Experiment -- 4.1 Data -- 4.2 Settings -- 4.3 Experimental Results -- 5 Conclusions -- References -- Regularized Contrastive Learning of Semantic Search -- 1 Introduction -- 2 Related Work -- 3 Regularized Contrastive Learning -- 3.1 Task Description -- 3.2 Data Augmentation -- 3.3 Contrastive Regulator -- 3.4 Anisotropy Problem -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Details -- 4.3 Results -- 4.4 Ablation Study -- 5 Conclusion -- A APPENDIX -- A.1 A Training Details -- References -- Kformer: Knowledge Injection in Transformer Feed-Forward Layers -- 1 Introduction -- 2 Knowledge Neurons in the FFN -- 3 Kformer: Knowledge Injection in FFN -- 3.1 Knowledge Retrieval -- 3.2 Knowledge Embedding -- 3.3 Knowledge Injection -- 4 Experiments -- 4.1 Dataset -- 4.2 Experiment Setting -- 4.3 Experiments Results -- 5 Analysis -- 5.1 Impact of Top N Knowledge -- 5.2 Impact of Layers -- 5.3 Interpretability -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Tickets -- 1 Introduction -- 2 Background -- 2.1 Out-of-domain Generalization -- 2.2 Lottery Ticket Hypothesis -- 2.3 Transformer Architecture -- 3 Identifying Doge Tickets -- 3.1 Uncovering Domain-general LM -- 3.2 Playing Lottery Tickets -- 4 Experiments -- 4.1 Datasets -- 4.2 Models and Implementation -- 4.3 Main Comparison -- 5 Analysis -- 5.1 Sensitivity to Learning Variance -- 5.2 Impact of the Number of Training Domains -- 5.3 Existence of Domain-specific Manner -- 5.4 Consistency with Varying Sparsity Levels -- 6 Conclusions -- References. Information Extraction and Knowledge Graph (Oral) -- BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information -- 1 Introduction -- 2 Task Formulation -- 3 BART-Reader -- 3.1 Entity-aware Document Context Representation -- 3.2 Entity-Pair Representation -- 3.3 Relation Prediction -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset -- 4.2 Experiment Settings -- 4.3 Main Results -- 4.4 Ablation Study -- 4.5 Cross-attention Attends on Proper Mentions -- 5 Related Work -- 6 Conclusion -- References -- DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction -- 1 Introduction -- 2 Preliminary -- 2.1 Concepts -- 2.2 Task Definition -- 2.3 Challenges of DEE -- 3 Dataset Construction -- 3.1 Event Schema Construction -- 3.2 Candidate Data Collection -- 3.3 Annotation Process -- 4 Data Analysis -- 4.1 Overall Statics -- 4.2 Event Types and Argument Roles -- 4.3 Comparison with Existing Benchmarks -- 5 Experiment -- 5.1 Baseline -- 5.2 Evaluation Metric -- 5.3 Results -- 6 Conclusion -- References -- Temporal Relation Extraction on Time Anchoring and Negative Denoising -- 1 Introduction -- 2 Related Work -- 3 TAM: Time Anchoring Model for TRE -- 3.1 Mention Embedding Module -- 3.2 Multi-task Learning Module -- 3.3 Interval Anchoring Module -- 3.4 Negative Denoising Module -- 4 Experimentation -- 4.1 Datasets and Experimental Settings -- 4.2 Results -- 4.3 Ablation Study -- 4.4 Effects of Learning Curves -- 4.5 Case Study and Error Analysis -- 5 Conclusion -- References -- Label Semantic Extension for Chinese Event Extraction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Event Type Detection -- 3.2 Label Semantic Extension -- 3.3 Event Extraction -- 4 Experiments -- 4.1 Dataset and Experiment Setup -- 4.2 Main Result -- 4.3 Ablation Study -- 4.4 Effect of Threshold -- 5 Conclusions. References -- QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph Embeddings -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Quaternion Background -- 3.2 QuatSE -- 3.3 Theoretical Analysis -- 4 Experiment -- 4.1 Datasets -- 4.2 Evaluation Protocol -- 4.3 Implementation Details -- 4.4 Baselines -- 5 Results and Analysis -- 5.1 Main Results -- 5.2 1-N, N-1 and Multiple-Relations Pattern -- 6 Conclusion -- References -- Entity Difference Modeling Based Entity Linking for Question Answering over Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Entity Representation -- 2.2 Model Architecture -- 3 Framework -- 3.1 Question Encoder -- 3.2 Entity Encoder -- 3.3 Mention Detection and Entity Disambiguation -- 4 Experiments -- 4.1 Model Comparison -- 4.2 Ablation Study -- 4.3 Case Study -- 5 Conclusion -- References -- BG-EFRL: Chinese Named Entity Recognition Method and Application Based on Enhanced Feature Representation -- 1 Introduction -- 2 Related Work -- 2.1 Chinese Named Entity Recognition -- 2.2 Embedding Representation -- 3 NER Model -- 3.1 Embedding Representation -- 3.2 Initialize the Graph Structure -- 3.3 Encoders -- 3.4 Feature Enhancer -- 3.5 Decoder -- 4 Experiments -- 4.1 Datasets and Metrics -- 4.2 Implementation Details -- 4.3 Comparison Methods -- 4.4 Results -- 5 Conclusion -- References -- TEMPLATE: TempRel Classification Model Trained with Embedded Temporal Relation Knowledge -- 1 Introduction -- 2 Related Work -- 3 Our Baseline Model -- 4 TEMPLATE Approach -- 4.1 Build Templates -- 4.2 Embedded Knowledge of TempRel Information -- 4.3 Train the Model with Embedded Knowledge of TempRel Information -- 5 Experiments and Results -- 5.1 Data-set -- 5.2 Experimental Setup -- 5.3 Main Results -- 5.4 Ablation Study and Qualitative Analysis -- 6 Conclusion -- References. Dual Interactive Attention Network for Joint Entity and Relation Extraction. |
Record Nr. | UNISA-996490354703316 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Natural language processing and Chinese computing : 11th CCF international conference, NLPCC 2022, Guilin, China, September 24-25, 2022, proceedings, Part I / / edited by Wei Lu [and three others] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (878 pages) |
Disciplina | 495.10285 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Chinese language - Data processing
Natural language processing (Computer science) |
ISBN | 3-031-17120-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Fundamentals of NLP (Oral) -- Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models -- 1 Introduction -- 2 Related Work -- 3 Multiple Word Segmentation Aggregation -- 4 Projecting Word Semantics to Character Representation -- 4.1 Integrating Word Embedding to Character Representation -- 4.2 Mixing Character Representations Within a Word -- 4.3 Fusing New Character Embedding to Sentence Representation -- 5 Experimental Setup -- 5.1 Tasks and Datasets -- 5.2 Baseline Models -- 5.3 Training Details -- 6 Results and Analysis -- 6.1 Overall Results -- 6.2 Ablation Study -- 6.3 Case Study -- 7 Conclusion -- References -- PGBERT: Phonology and Glyph Enhanced Pre-training for Chinese Spelling Correction -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Problem and Motivation -- 3.2 Model -- 4 Experiment -- 4.1 Pre-training -- 4.2 Fine Tuning -- 4.3 Parameter Setting -- 4.4 Baseline Models -- 4.5 Main Results -- 4.6 Ablation Experiments -- 5 Conclusions -- References -- MCER: A Multi-domain Dataset for Sentence-Level Chinese Ellipsis Resolution -- 1 Introduction -- 2 Definition of Ellipsis -- 2.1 Ellipsis for Chinese NLP -- 2.2 Explanations -- 3 Dataset -- 3.1 Annotation -- 3.2 Dataset Analysis -- 3.3 Annotation Format -- 3.4 Considerations -- 4 Experiments -- 4.1 Baseline Methods -- 4.2 Evaluation Metrics -- 4.3 Results -- 5 Conclusion -- References -- Two-Layer Context-Enhanced Representation for Better Chinese Discourse Parsing -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Basic Principles of Transition-Based Approach -- 3.2 Bottom Layer of Enhanced Context Representation: Intra-EDU Encoder with GCN -- 3.3 Upper Layer of Enhanced Context Representation: Inter-EDU Encoder with Star-Transformer -- 3.4 SPINN-Based Decoder.
3.5 Training Loss -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Overall Experimental Results -- 4.3 Compared with Other Parsing Framework -- 5 Conclusion -- References -- How Effective and Robust is Sentence-Level Data Augmentation for Named Entity Recognition? -- 1 Introduction -- 2 Methodology -- 2.1 CMix -- 2.2 CombiMix -- 2.3 TextMosaic -- 3 Experiment -- 3.1 Datasets -- 3.2 Experimental Setup -- 3.3 Results of Effectiveness Evaluation -- 3.4 Study of the Sample Size After Data Augmentation -- 3.5 Results of Robustness Evaluation -- 3.6 Results of CCIR Cup -- 4 Conclusion -- References -- Machine Translation and Multilinguality (Oral) -- Random Concatenation: A Simple Data Augmentation Method for Neural Machine Translation -- 1 Introduction -- 2 Related Works -- 3 Approach -- 3.1 Vanilla Randcat -- 3.2 Randcat with Back-Translation -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Translation Performance -- 4.3 Analysis -- 4.4 Additional Experiments -- 5 Conclusions -- References -- Contrastive Learning for Robust Neural Machine Translation with ASR Errors -- 1 Introduction -- 2 Related Work -- 2.1 Robust Neural Machine Translation -- 2.2 Contrastive Learning -- 3 NISTasr Test Dataset -- 4 Our Approach -- 4.1 Overview -- 4.2 Constructing Perturbed Inputs -- 5 Experimentation -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 5.3 Ablation Analysis -- 5.4 Effect on Hyper-Parameter -- 5.5 Case Study -- 6 Conclusion -- References -- An Enhanced New Word Identification Approach Using Bilingual Alignment -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Architecture -- 3.2 Multi-new Model -- 3.3 Bilingual Identification Algorithm -- 4 Experiment -- 4.1 Datasets -- 4.2 Results of Multi-new Model -- 4.3 Results of NEWBA-P Model and NEWBA-E Model -- 5 Conclusions -- References -- Machine Learning for NLP (Oral). Multi-task Learning with Auxiliary Cross-attention Transformer for Low-Resource Multi-dialect Speech Recognition -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Two Task Streams -- 3.2 Auxiliary Cross-attention -- 4 Experiment -- 4.1 Data -- 4.2 Settings -- 4.3 Experimental Results -- 5 Conclusions -- References -- Regularized Contrastive Learning of Semantic Search -- 1 Introduction -- 2 Related Work -- 3 Regularized Contrastive Learning -- 3.1 Task Description -- 3.2 Data Augmentation -- 3.3 Contrastive Regulator -- 3.4 Anisotropy Problem -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Details -- 4.3 Results -- 4.4 Ablation Study -- 5 Conclusion -- A APPENDIX -- A.1 A Training Details -- References -- Kformer: Knowledge Injection in Transformer Feed-Forward Layers -- 1 Introduction -- 2 Knowledge Neurons in the FFN -- 3 Kformer: Knowledge Injection in FFN -- 3.1 Knowledge Retrieval -- 3.2 Knowledge Embedding -- 3.3 Knowledge Injection -- 4 Experiments -- 4.1 Dataset -- 4.2 Experiment Setting -- 4.3 Experiments Results -- 5 Analysis -- 5.1 Impact of Top N Knowledge -- 5.2 Impact of Layers -- 5.3 Interpretability -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Tickets -- 1 Introduction -- 2 Background -- 2.1 Out-of-domain Generalization -- 2.2 Lottery Ticket Hypothesis -- 2.3 Transformer Architecture -- 3 Identifying Doge Tickets -- 3.1 Uncovering Domain-general LM -- 3.2 Playing Lottery Tickets -- 4 Experiments -- 4.1 Datasets -- 4.2 Models and Implementation -- 4.3 Main Comparison -- 5 Analysis -- 5.1 Sensitivity to Learning Variance -- 5.2 Impact of the Number of Training Domains -- 5.3 Existence of Domain-specific Manner -- 5.4 Consistency with Varying Sparsity Levels -- 6 Conclusions -- References. Information Extraction and Knowledge Graph (Oral) -- BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information -- 1 Introduction -- 2 Task Formulation -- 3 BART-Reader -- 3.1 Entity-aware Document Context Representation -- 3.2 Entity-Pair Representation -- 3.3 Relation Prediction -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset -- 4.2 Experiment Settings -- 4.3 Main Results -- 4.4 Ablation Study -- 4.5 Cross-attention Attends on Proper Mentions -- 5 Related Work -- 6 Conclusion -- References -- DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction -- 1 Introduction -- 2 Preliminary -- 2.1 Concepts -- 2.2 Task Definition -- 2.3 Challenges of DEE -- 3 Dataset Construction -- 3.1 Event Schema Construction -- 3.2 Candidate Data Collection -- 3.3 Annotation Process -- 4 Data Analysis -- 4.1 Overall Statics -- 4.2 Event Types and Argument Roles -- 4.3 Comparison with Existing Benchmarks -- 5 Experiment -- 5.1 Baseline -- 5.2 Evaluation Metric -- 5.3 Results -- 6 Conclusion -- References -- Temporal Relation Extraction on Time Anchoring and Negative Denoising -- 1 Introduction -- 2 Related Work -- 3 TAM: Time Anchoring Model for TRE -- 3.1 Mention Embedding Module -- 3.2 Multi-task Learning Module -- 3.3 Interval Anchoring Module -- 3.4 Negative Denoising Module -- 4 Experimentation -- 4.1 Datasets and Experimental Settings -- 4.2 Results -- 4.3 Ablation Study -- 4.4 Effects of Learning Curves -- 4.5 Case Study and Error Analysis -- 5 Conclusion -- References -- Label Semantic Extension for Chinese Event Extraction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Event Type Detection -- 3.2 Label Semantic Extension -- 3.3 Event Extraction -- 4 Experiments -- 4.1 Dataset and Experiment Setup -- 4.2 Main Result -- 4.3 Ablation Study -- 4.4 Effect of Threshold -- 5 Conclusions. References -- QuatSE: Spherical Linear Interpolation of Quaternion for Knowledge Graph Embeddings -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Quaternion Background -- 3.2 QuatSE -- 3.3 Theoretical Analysis -- 4 Experiment -- 4.1 Datasets -- 4.2 Evaluation Protocol -- 4.3 Implementation Details -- 4.4 Baselines -- 5 Results and Analysis -- 5.1 Main Results -- 5.2 1-N, N-1 and Multiple-Relations Pattern -- 6 Conclusion -- References -- Entity Difference Modeling Based Entity Linking for Question Answering over Knowledge Graphs -- 1 Introduction -- 2 Related Work -- 2.1 Entity Representation -- 2.2 Model Architecture -- 3 Framework -- 3.1 Question Encoder -- 3.2 Entity Encoder -- 3.3 Mention Detection and Entity Disambiguation -- 4 Experiments -- 4.1 Model Comparison -- 4.2 Ablation Study -- 4.3 Case Study -- 5 Conclusion -- References -- BG-EFRL: Chinese Named Entity Recognition Method and Application Based on Enhanced Feature Representation -- 1 Introduction -- 2 Related Work -- 2.1 Chinese Named Entity Recognition -- 2.2 Embedding Representation -- 3 NER Model -- 3.1 Embedding Representation -- 3.2 Initialize the Graph Structure -- 3.3 Encoders -- 3.4 Feature Enhancer -- 3.5 Decoder -- 4 Experiments -- 4.1 Datasets and Metrics -- 4.2 Implementation Details -- 4.3 Comparison Methods -- 4.4 Results -- 5 Conclusion -- References -- TEMPLATE: TempRel Classification Model Trained with Embedded Temporal Relation Knowledge -- 1 Introduction -- 2 Related Work -- 3 Our Baseline Model -- 4 TEMPLATE Approach -- 4.1 Build Templates -- 4.2 Embedded Knowledge of TempRel Information -- 4.3 Train the Model with Embedded Knowledge of TempRel Information -- 5 Experiments and Results -- 5.1 Data-set -- 5.2 Experimental Setup -- 5.3 Main Results -- 5.4 Ablation Study and Qualitative Analysis -- 6 Conclusion -- References. Dual Interactive Attention Network for Joint Entity and Relation Extraction. |
Record Nr. | UNINA-9910595031003321 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2012 International Conference on Information Technology and Software Engineering [[electronic resource] ] : Information Technology / / edited by Wei Lu, Guoqiang Cai, Weibin Liu, Weiwei Xing |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (941 p.) |
Disciplina | 300 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Information storage and retrieval
Application software Multimedia information systems Management information systems Computer science Software engineering Information Storage and Retrieval Information Systems Applications (incl. Internet) Multimedia Information Systems Management of Computing and Information Systems Software Engineering |
ISBN |
1-283-91235-X
3-642-34528-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Proceedings of the 2012 International Conference on Information Technology and Software Engineering; Committees; Preface; Contents; 1 Generalized Graph Regularized Non-negative Matrix Factorization for Data Representation; Abstract; 1.1...Introduction; 1.2...Related Work; 1.2.1 Non-negative Matrix Factorization; 1.2.2 Graph Regularized Non-negative Matrix Factorization; 1.3...Generalized Graph Regularized Non-negative Matrix Factorization; 1.3.1 Description of GGNMF; 1.3.2 Multiplicative Updating Rules for GGNMF; 1.3.3 Convergence Analysis; 1.4...Experimental Results; 1.4.1 Data Sets
1.4.2 Clustering Results1.4.3 Efficiency Comparison; 1.4.4 Sparseness Study; 1.5...Conclusion; Acknowledgments; References; 2 Research on Conformal Phased Array Antenna Pattern Synthesis; Abstract; 2.1...Introduction; 2.2...Planar Array Pattern Synthesis; 2.3...Spatial Field Calculation of Conformal Structure; 2.3.1 Spatial Field Calculation of Truncated Cone Shape Conformal Array; 2.3.2 Direction Determination of Spatial Field; 2.4...Example of Field Calculating; 2.5...Conclusions; References; 3 Research on the Optimization of Wireless Sensor Network Localization Based on Real-Time Estimation; Abstract 3.1...Introduction3.2...RSSI Range-Based Localization Method; 3.2.1 Trilateral Range-Based Localization Method; 3.2.2 Ranging Model; 3.3...The Optimization Method of Real-Time Estimation Range-Based Localization; 3.3.1 The Optimization Model of Real-Time Estimation Range-Based Localization; 3.3.2 The Improvement of Trilateral Ranging Method; 3.4...Experimental Verification and Result Analysis; 3.5...Conclusion; Acknowledgments; References; 4 Process Calculus for Cost Analysis of Process Creation; Abstract; 4.1...Introduction; 4.2...Process Calculus for Analyzing Denial-of-Service Attacks 4.2.1 The Spice Calculus4.2.2 Formalization of Process Creation; 4.3...Example of Formalization: Three-Way Handshake; 4.4...Conclusion; Acknowledgments; References; 5 Parameter Estimation of LFM Signal by Direct and Spline Interpolation Based on FrFT; Abstract; 5.1...Introduction; 5.2...FrFT and DFrFT; 5.3...Interpolation Algorithm; 5.3.1 Interpolation of \alpha; 5.3.2 Interpolation of U; 5.3.3 The Algorithm Flow; 5.4...Performance Analysis; 5.5...Conclusion; References; 6 An Analysis Method for Network Status of Open-Pit WLAN Based on Latency Time; Abstract; 6.1...Introduction; 6.2...Problem Statements 6.2.1 System Architecture6.2.2 Wireless Adaptor; 6.2.3 Latency; 6.3...The Analysis Method; 6.3.1 Initial Data; 6.3.2 Spatial Analysis Method; 6.4...Preferences; 6.4.1 Signal Strength; 6.4.1.1 The Distribution of Signal Strength; 6.4.1.2 The Distance Between Wireless Adapter and Wireless Tower; 6.4.1.3 The Correlation Between 'rssi' and Latency Time; 6.4.1.4 Reasons; 6.4.2 Latency Time; 6.4.2.1 Data Pre-Processing; 6.4.2.2 Spatial Interpolation; 6.5...Conclusion; Acknowledgments; References; 7 Multi-Source Scheme for Reprogramming in Wireless Sensor Networks; Abstract; 7.1...Introduction 7.2...Proposed Approaches |
Record Nr. | UNINA-9910437906603321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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