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Chinese Computational Linguistics [[electronic resource] ] : 18th China National Conference, CCL 2019, Kunming, China, October 18–20, 2019, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, Yang Liu
| Chinese Computational Linguistics [[electronic resource] ] : 18th China National Conference, CCL 2019, Kunming, China, October 18–20, 2019, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, Yang Liu |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 717 p. 427 illus., 152 illus. in color.) |
| Disciplina | 410.285 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Machine learning Robotics Data mining Natural Language Processing (NLP) Machine Learning Data Mining and Knowledge Discovery |
| ISBN | 3-030-32381-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Colligational Patterns in China English: the Case of the Verbs of Communication -- Testing the Reasoning Power for NLI Models with Annotated Multi-perspective Entailment Dataset -- Enhancing Chinese Word Embeddings from Relevant Derivative Meanings of Main-Components in Characters -- Association Relationship Analyses of Stylistic Syntactic Structures -- BB-KBQA: BERT-Based Knowledge Base Question Answering -- ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity -- Improving a Syntactic Graph Convolution Network for Sentence Compression -- Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship Parser -- Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching -- Sharing Pre-trained BERT Decoder for a Hybrid Summarization -- Title-Aware Neural News Topic Prediction -- How to Fine-Tune BERT for Text Classification? -- A Comprehensive Verification of Transformer in Text Classification -- Improving Relation Extraction with Relation-Based Gated Convolutional Selector -- Attention-based Gated Convolutional Neural Networks for Distant Supervised Relation Extraction -- Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores -- Leveraging Multi-Head Attention Mechanism to Improve Event Detection -- Short-Text Conceptualization Based on A Co-Ranking Framework via Lexical Knowledge Base -- Denoising Distant Supervision for Relation Extraction with Entropy Weight Method -- Cross-view Adaptation Network for Cross-domain Relation Extraction -- Mongolian-Chinese Unsupervised Neural Machine Translation with Lexical Feature -- Learning Multilingual Sentence Embeddings from Monolingual Corpus -- Chinese Historical Term Translation Pairs Extraction Using Modern Chinese As a Pivot Language -- Construction of an English-Uyghur WordNet Dataset -- Endangered Tujia Language Speech Enhancement Research Based on Improved DCGAN -- Research for Tibetan-Chinese Name Transliteration Based on Multi-granularity -- An End-to-end Method for Data Filtering on Tibetan-Chinese Parallel Corpus via Negative Sampling -- An Attention-Based Approach for Mongolian News Named Entity Recognition -- On the Semi-unsupervised Construction of Auto-Keyphrases Corpus from Large-scale Chinese Automobile E-Commerce Reviews -- Multi-label Aspect Classification on Question-Answering Text with Contextualized Attention-based Neural Network -- A Document Driven Dialogue Generation Model -- Capsule Networks for Chinese Opinion Questions Machine Reading Comprehension -- Table-to-Text Generation via Row-Aware Hierarchical Encoder -- Dropped Pronoun Recovery in Chinese Conversations with Knowledge-enriched Neural Network -- Automatic Judgment Prediction via Legal Reading Comprehension -- Legal Cause Prediction with Inner Descriptions and Outer Hierarchies -- Natural Language Inference based on the LIC Architecture with DCAE Feature -- Neural CTR Prediction for Native Ad -- Depression Detection on Social Media with Reinforcement Learning -- How Important is POS to Dependency Parsing? Joint POS Tagging and Dependency Parsing Neural Networks -- Graph Neural Net-based User Simulator -- Pinyin as A Feature of Neural Machine Translation for Chinese Speech Recognition Error Correction -- Neural Gender Prediction from News Browsing Data -- A Top-down Model for Character-level Chinese Dependency Parsing -- A Corpus-free State2Seq User Simulator for Task-oriented Dialogue -- Utterance Alignment in Custom Service by Integer Programming. |
| Record Nr. | UNISA-996466444303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Chinese Computational Linguistics [[electronic resource] ] : 18th China National Conference, CCL 2019, Kunming, China, October 18–20, 2019, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, Yang Liu
| Chinese Computational Linguistics [[electronic resource] ] : 18th China National Conference, CCL 2019, Kunming, China, October 18–20, 2019, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, Yang Liu |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 717 p. 427 illus., 152 illus. in color.) |
| Disciplina | 410.285 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Machine learning Robotics Data mining Natural Language Processing (NLP) Machine Learning Data Mining and Knowledge Discovery |
| ISBN | 3-030-32381-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Colligational Patterns in China English: the Case of the Verbs of Communication -- Testing the Reasoning Power for NLI Models with Annotated Multi-perspective Entailment Dataset -- Enhancing Chinese Word Embeddings from Relevant Derivative Meanings of Main-Components in Characters -- Association Relationship Analyses of Stylistic Syntactic Structures -- BB-KBQA: BERT-Based Knowledge Base Question Answering -- ERCNN: Enhanced Recurrent Convolutional Neural Networks for Learning Sentence Similarity -- Improving a Syntactic Graph Convolution Network for Sentence Compression -- Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship Parser -- Syntax-Aware Attention for Natural Language Inference with Phrase-Level Matching -- Sharing Pre-trained BERT Decoder for a Hybrid Summarization -- Title-Aware Neural News Topic Prediction -- How to Fine-Tune BERT for Text Classification? -- A Comprehensive Verification of Transformer in Text Classification -- Improving Relation Extraction with Relation-Based Gated Convolutional Selector -- Attention-based Gated Convolutional Neural Networks for Distant Supervised Relation Extraction -- Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores -- Leveraging Multi-Head Attention Mechanism to Improve Event Detection -- Short-Text Conceptualization Based on A Co-Ranking Framework via Lexical Knowledge Base -- Denoising Distant Supervision for Relation Extraction with Entropy Weight Method -- Cross-view Adaptation Network for Cross-domain Relation Extraction -- Mongolian-Chinese Unsupervised Neural Machine Translation with Lexical Feature -- Learning Multilingual Sentence Embeddings from Monolingual Corpus -- Chinese Historical Term Translation Pairs Extraction Using Modern Chinese As a Pivot Language -- Construction of an English-Uyghur WordNet Dataset -- Endangered Tujia Language Speech Enhancement Research Based on Improved DCGAN -- Research for Tibetan-Chinese Name Transliteration Based on Multi-granularity -- An End-to-end Method for Data Filtering on Tibetan-Chinese Parallel Corpus via Negative Sampling -- An Attention-Based Approach for Mongolian News Named Entity Recognition -- On the Semi-unsupervised Construction of Auto-Keyphrases Corpus from Large-scale Chinese Automobile E-Commerce Reviews -- Multi-label Aspect Classification on Question-Answering Text with Contextualized Attention-based Neural Network -- A Document Driven Dialogue Generation Model -- Capsule Networks for Chinese Opinion Questions Machine Reading Comprehension -- Table-to-Text Generation via Row-Aware Hierarchical Encoder -- Dropped Pronoun Recovery in Chinese Conversations with Knowledge-enriched Neural Network -- Automatic Judgment Prediction via Legal Reading Comprehension -- Legal Cause Prediction with Inner Descriptions and Outer Hierarchies -- Natural Language Inference based on the LIC Architecture with DCAE Feature -- Neural CTR Prediction for Native Ad -- Depression Detection on Social Media with Reinforcement Learning -- How Important is POS to Dependency Parsing? Joint POS Tagging and Dependency Parsing Neural Networks -- Graph Neural Net-based User Simulator -- Pinyin as A Feature of Neural Machine Translation for Chinese Speech Recognition Error Correction -- Neural Gender Prediction from News Browsing Data -- A Top-down Model for Character-level Chinese Dependency Parsing -- A Corpus-free State2Seq User Simulator for Task-oriented Dialogue -- Utterance Alignment in Custom Service by Integer Programming. |
| Record Nr. | UNINA-9910349275103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data [[electronic resource] ] : 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Yang Liu
| Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data [[electronic resource] ] : 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Yang Liu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVIII, 460 p. 139 illus.) |
| Disciplina | 495.10183 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Artificial intelligence Computers Natural Language Processing (NLP) Artificial Intelligence Information Systems and Communication Service |
| ISBN | 3-319-47674-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Semantics -- Improving Chinese Semantic Role Labeling with English Proposition Bank -- Transition-based Chinese Semantic Dependency Graph Parsing -- Improved Graph-based Dependency Parsing via Hierarchical LSTM Networks -- Machine Translation -- Error Analysis of English-Chinese Machine Translation -- I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation -- Keeping the Meanings of the Source Text: An introduction to Yes Translate -- Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences -- Using Collaborative Training Method to build Vietnamese Dependency Treebank -- Multilinguality in NLP -- A Novel Approach to Improve the Mongolian Language Model using Intermediate Characters -- Improved Joint Kazakh POS Tagging and Chunking -- Coping with problems of Unicoded Traditional Mongolian -- Tibetan Person Attributes Extraction Based on BP Neural Network -- Semi-supervised Learning for Mongolian Morphological Segmentation -- Investigation and use of methods for defining the extends of similarity of Kazakh language sentences -- Knowledge graph and information extraction -- Recognizing Biomedical Named Entities Based on the Sentence Vector/Twin Word Embeddings Conditioned Bidirectional LSTM -- Definition Extraction with LSTM Recurrent Neural Networks -- Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks -- Chinese Hedge Scope Detection Based on Structure and Semantic Information -- Combining Event-level and Cross-event Semantic Information for Event-Oriented Relation Classification by SCNN -- Linguistic resource annotation and evaluation -- The Constitution of a Fine-Grained Opinion Annotated Corpus on Weibo -- The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article Writing -- Pages Information retrieval and question answering -- Topic-Sentiment Mining from Multiple Text Collections -- A New Focus Strategy for Efficient Dialog Management -- Text classification and summarization -- Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM -- Multilingual Multi-document Summarization with Enhanced hLDA Features -- News Abridgement Algorithm Based on Word Alignment and Syntactic Parsing -- A Hierarchical LSTM Model for Joint Tasks -- Enhancing Neural Disfluency Detection with Hand-crafted Features -- Social computing and sentiment analysis -- Active Learning for Age Regression in Social Media -- A Novel Approach for Discovering Local Community Structure in Networks -- Identifying Suspected Cybermob on Tieba -- Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations -- Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data -- NLP Applications -- A Bootstrapping Approach to Symptom Entity Extraction on Chinese Electronic Medical Records -- Automatic Naming of Speakers in Video via Name-Face Mapping -- Image Tag Recommendation via Deep Cross-modal Correlation Mining -- Is Local Window Essential for Neural Network based Chinese Word Segmentation . |
| Record Nr. | UNINA-9910483766503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data [[electronic resource] ] : 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Yang Liu
| Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data [[electronic resource] ] : 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings / / edited by Maosong Sun, Xuanjing Huang, Hongfei Lin, Zhiyuan Liu, Yang Liu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVIII, 460 p. 139 illus.) |
| Disciplina | 495.10183 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Artificial intelligence Computers Natural Language Processing (NLP) Artificial Intelligence Information Systems and Communication Service |
| ISBN | 3-319-47674-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Semantics -- Improving Chinese Semantic Role Labeling with English Proposition Bank -- Transition-based Chinese Semantic Dependency Graph Parsing -- Improved Graph-based Dependency Parsing via Hierarchical LSTM Networks -- Machine Translation -- Error Analysis of English-Chinese Machine Translation -- I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation -- Keeping the Meanings of the Source Text: An introduction to Yes Translate -- Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences -- Using Collaborative Training Method to build Vietnamese Dependency Treebank -- Multilinguality in NLP -- A Novel Approach to Improve the Mongolian Language Model using Intermediate Characters -- Improved Joint Kazakh POS Tagging and Chunking -- Coping with problems of Unicoded Traditional Mongolian -- Tibetan Person Attributes Extraction Based on BP Neural Network -- Semi-supervised Learning for Mongolian Morphological Segmentation -- Investigation and use of methods for defining the extends of similarity of Kazakh language sentences -- Knowledge graph and information extraction -- Recognizing Biomedical Named Entities Based on the Sentence Vector/Twin Word Embeddings Conditioned Bidirectional LSTM -- Definition Extraction with LSTM Recurrent Neural Networks -- Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks -- Chinese Hedge Scope Detection Based on Structure and Semantic Information -- Combining Event-level and Cross-event Semantic Information for Event-Oriented Relation Classification by SCNN -- Linguistic resource annotation and evaluation -- The Constitution of a Fine-Grained Opinion Annotated Corpus on Weibo -- The Construction of a Customized Medical Corpus for Assisting Chinese Clinicians in English Research Article Writing -- Pages Information retrieval and question answering -- Topic-Sentiment Mining from Multiple Text Collections -- A New Focus Strategy for Efficient Dialog Management -- Text classification and summarization -- Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM -- Multilingual Multi-document Summarization with Enhanced hLDA Features -- News Abridgement Algorithm Based on Word Alignment and Syntactic Parsing -- A Hierarchical LSTM Model for Joint Tasks -- Enhancing Neural Disfluency Detection with Hand-crafted Features -- Social computing and sentiment analysis -- Active Learning for Age Regression in Social Media -- A Novel Approach for Discovering Local Community Structure in Networks -- Identifying Suspected Cybermob on Tieba -- Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations -- Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data -- NLP Applications -- A Bootstrapping Approach to Symptom Entity Extraction on Chinese Electronic Medical Records -- Automatic Naming of Speakers in Video via Name-Face Mapping -- Image Tag Recommendation via Deep Cross-modal Correlation Mining -- Is Local Window Essential for Neural Network based Chinese Word Segmentation . |
| Record Nr. | UNISA-996465326903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Natural Language Processing and Chinese Computing [[electronic resource] ] : 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8–12, 2017, Proceedings / / edited by Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong
| Natural Language Processing and Chinese Computing [[electronic resource] ] : 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8–12, 2017, Proceedings / / edited by Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 966 p. 208 illus.) |
| Disciplina | 006.35 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Natural language processing (Computer science) Information storage and retrieval Application software Artificial Intelligence Natural Language Processing (NLP) Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Appl. in Administrative Data Processing |
| ISBN | 3-319-73618-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910349262403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Natural Language Processing and Chinese Computing [[electronic resource] ] : 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8–12, 2017, Proceedings / / edited by Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong
| Natural Language Processing and Chinese Computing [[electronic resource] ] : 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8–12, 2017, Proceedings / / edited by Xuanjing Huang, Jing Jiang, Dongyan Zhao, Yansong Feng, Yu Hong |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 966 p. 208 illus.) |
| Disciplina | 006.35 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Natural language processing (Computer science) Information storage and retrieval Application software Artificial Intelligence Natural Language Processing (NLP) Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Appl. in Administrative Data Processing |
| ISBN | 3-319-73618-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465770303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Natural Language Understanding and Intelligent Applications [[electronic resource] ] : 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings / / edited by Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng
| Natural Language Understanding and Intelligent Applications [[electronic resource] ] : 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings / / edited by Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXII, 952 p. 377 illus.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Artificial intelligence Information storage and retrieval Application software Natural Language Processing (NLP) Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Appl. in Administrative Data Processing |
| ISBN | 3-319-50496-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Message from the Program Committee Co-chairs -- Organization -- Contents -- Fundamentals on Language Computing -- Integrating Structural Context with Local Context for Disambiguating Word Senses -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 Generate Permuted-Lexicon-Sequence -- 2.2 Proposed Model -- 3 Evaluation -- 3.1 Data Sets -- 3.2 Experiments -- 4 Related Work -- 5 Conclusion -- Acknowledgements -- References -- Tibetan Multi-word Expressions Identification Framework Based on News Corpora -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Brief Description of Tibetan MWE Identification Framework -- 4 Tibetan MWE Identification Based on the Combination of Context Analysis and Language Model-Based Analysis -- 4.1 Context Analysis -- 4.2 Two-Word Coupling Degree -- 4.3 Tibetan Syllable Inside Word Probability -- 5 Experiments -- 5.1 Experimental Data -- 5.2 Evaluation -- 5.2.1 Evaluation for Different Strategies in Identifying Framework -- 5.2.2 Evaluation for the Effect of Context Analysis Granularity -- 5.2.3 Evaluation on Large Corpus -- 6 Conclusion -- Acknowledgements -- References -- Building Powerful Dependency Parsers for Resource-Poor Languages -- 1 Introduction -- 2 Our Approach -- 2.1 Data Preprocessing -- 2.2 Projecting Dependencies and POS Tags -- 2.3 CRF-Based POS Tagging Model -- 2.4 Graph-Based Dependency Parsing Model -- 3 Enhancing the Parsers -- 3.1 Subtree Based Features -- 3.2 Word-Cluster Based Features -- 4 Experiments -- 4.1 Data Sets -- 4.2 Results on POS Tagging -- 4.3 Results on Parsing -- 5 Related Work -- 6 Conclusions -- References -- Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Embedding Layer -- 3.2 Sentence Modeling with Bi-LSTM -- 3.3 Gated Relevance Network.
3.4 Max-Pooling Layer and MLP -- 3.5 Model Training -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Parameter Settings -- 4.3 Baselines -- 4.4 Results of Comparison Experiments -- 5 Conclusion -- References -- Syntactic Categorization and Semantic Interpretation of Chinese Nominal Compounds -- Abstract -- 1 Introduction -- 2 Related Literature -- 3 Syntactic Categorization of Nominal Compounds in Chinese -- 3.1 Basic Rules -- 3.2 Context-Based Rules -- 3.3 Rules of Named Entities -- 3.4 Rules for Syntactic Categorization -- 3.5 Syntactic Categorization Experiments -- 4 Automatic Semantic Interpretation of Head-Modifier Nominal Compounds -- 4.1 Description of the System -- 4.2 Resources and Similarity Computation -- 4.3 Noun Matching -- 4.4 Acquisition of Semantic Interpretation Templates -- 4.5 Experiments of Automatic Semantic Interpretation -- 5 Application in Syntactic Parsing and Machine Translation -- 5.1 Correction in Syntactic Parsing -- 5.2 Application in Machine Translation -- 6 Conclusions -- Acknowledgement -- References -- TDSS: A New Word Sense Representation Framework for Information Retrieval -- 1 Introduction -- 2 Related Work -- 3 A New Word Sense Representation Framework -- 4 TDSS Sense Extraction -- 4.1 Explanation Words and Context Extraction -- 4.2 Sense Graph Construction -- 4.3 Sense Generation and Weighting -- 5 Experiments -- 5.1 Evaluating Explanation Word Extraction -- 5.2 Evaluating Word Sense Generation -- 5.3 Case Study: Query Rewriting -- 6 Conclusions -- References -- A Word Vector Representation Based Method for New Words Discovery in Massive Text -- Abstract -- 1 Related Work -- 2 The New Word Discovery Method Based on Word Vector Pruning -- 2.1 Data Preprocessing -- 2.2 Word Vector Representation and Training -- 2.3 Mining n-Gram Word String -- 2.4 Pruning Based on Word Vector -- 3 Experiment Results. 3.1 Data Sets and Experimental Settings -- 3.2 The Result of New Word Detection -- 3.3 Comparative Analysis -- 3.4 Different Vector Similarity Measure Pruning Comparison -- 4 Conclusions and Future Work -- Acknowledgments -- References -- Machine Translation and Multi-lingual Information Access -- Better Addressing Word Deletion for Statistical Machine Translation -- 1 Introduction -- 2 The Proposed Approach -- 2.1 Undesired WD Classification -- 2.2 Undesired WD Model -- 2.3 Integration into SMT Decoder -- 3 Evaluation Metric - Recall of WD -- 3.1 Unigram Recall -- 4 Evaluation -- 4.1 Experiment Setup -- 4.2 Corpus -- 4.3 Results -- 4.4 Recall of WD vs Human Evaluation -- 5 Related Work -- 6 Conclusion and Future Work -- References -- A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT -- 1 Introduction -- 2 Related Work -- 3 The Proposed Joint Model -- 3.1 The Framework for Jointly Detecting Bilingual Term Pairs and Aligning Words -- 3.2 The Joint Model -- 3.3 Derivation Details -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Bilingual Parallel Active Learning Between Chinese and English -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Corpus Annotation -- 3.1 Corpus Selection -- 3.2 Annotation of Chinese Corpus -- 3.3 Mapping to English Corpus -- 3.4 Manual Adjustment -- 3.5 Alignment Statistics -- 4 Bilingual Parallel Active Learning -- 4.1 Problem Definition -- 4.2 BPAL Algorithm -- 5 Experiments -- 5.1 Corpora -- 5.2 Experimental Methods -- 5.3 Features for Relation Classification -- 5.4 Evaluation Metrics -- 5.5 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Study on the English Corresponding Unit of Chinese Clause -- Abstract -- 1 Chinese-to-English Clause-Aligned Parallel Corpus. 2 ECUCC Grammatically Annotated Corpus -- 2.1 Grammatical Analytic Principles of ECUCC -- 2.2 Grammatical Analytic System of ECUCC -- 3 Classification and Statistical Analysis of ECUCC -- 3.1 Sentences and Clauses -- 3.2 Major Clauses and Subordinate Clauses -- 3.3 Functions of Subordinate Clauses: Adverbial and Attributive -- 3.4 Structures of Subordinate Clauses: Restrictive Relative and Non-defining -- 3.5 Simple Clauses and Coordinate Clauses -- 3.6 General Analysis -- 4 Conclusion and Further Research -- Acknowledgments -- References -- Research for Uyghur-Chinese Neural Machine Translation -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Pre-process -- 3.2 Pointer-NMT Model -- 3.3 Post-process -- 4 Experiment -- 4.1 Experiment Set -- 4.2 Results of Experiment -- 5 Conclusion -- Acknowledgements -- References -- MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance -- 1 Introduction -- 2 Learning Task -- 3 MaxSD Model: Maximizing Similarity Distance Model -- 3.1 MaxSD Model -- 3.2 Bi-LSTM and BiC-LSTM Networks -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Setups -- 4.3 Results -- 5 Conclusion -- References -- Automatic Long Sentence Segmentation for Neural Machine Translation -- 1 Introduction -- 2 Related Work -- 3 Neural Machine Translation -- 4 The Segmentation Method -- 4.1 The Split Model -- 4.2 The Reordering Model -- 4.3 Joint Model: Combining the Two Submodels -- 5 Experiment -- 5.1 Setup -- 5.2 The Split Model -- 5.3 The Reordering Model -- 5.4 Comparison -- 5.5 Analysis -- 6 Conclusion and Future Work -- References -- Machine Learning for NLP -- Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN -- 1 Introduction -- 2 Related Work -- 3 Models -- 3.1 BLSTM (Bidirectional Long Short Term Memory). 3.2 CNN for Paragraph Representation -- 3.3 Model Learning -- 4 Features -- 4.1 Frequent Subsequence Mining Based Cue Phrase Identification -- 4.2 Other Features -- 5 Experiments -- 5.1 Data and Setup -- 5.2 Results -- 5.3 Error Analysis -- 6 Conclusion and Future Work -- References -- Multi-task Learning for Gender and Age Prediction on Chinese Microblog -- 1 Introduction -- 2 Multi-task Convolutional Neural Network (MTCNN) -- 2.1 Model Description -- 2.2 Model Learning -- 3 Weibo Data -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Baselines -- 4.3 Results -- 4.4 Error Analysis -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Dropout Non-negative Matrix Factorization for Independent Feature Learning -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 NMF as a Linear Neural Network -- 3.2 Dropout and Sequential NMF -- 3.3 Complexity Analysis -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Experimental Settings -- 4.3 Clustering Results -- 4.4 Parameter Selection and Convergence Analysis -- 4.5 Case Study -- 5 Conclusion -- Acknowledgement -- References -- Analysing the Semantic Change Based on Word Embedding -- 1 Introduction -- 2 Related Work -- 3 Approaches -- 3.1 Word Embedding -- 3.2 Random Project Forest -- 3.3 DBSCAN -- 4 Experiments -- 4.1 Preparations -- 4.2 Detecting the Semantic Change Based on Word Embedding -- 4.3 Analysing the Semantic Trend with Word Embedding -- 4.4 Clustering on the Similar Words and Context Words -- 5 Conclusion and Future Work -- References -- Learning Word Sense Embeddings from Word Sense Definitions -- 1 Introduction -- 2 Methodology -- 2.1 Definition Understanding Model -- 2.2 Training Definition Understanding Model with Definitions of Monosemous Words -- 2.3 Word Sense Embedding Learning -- 2.4 Training with Word Sense Embeddings to Represent Words in Definitions. 3 Experiments. |
| Record Nr. | UNISA-996465757103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Natural Language Understanding and Intelligent Applications [[electronic resource] ] : 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings / / edited by Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng
| Natural Language Understanding and Intelligent Applications [[electronic resource] ] : 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings / / edited by Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXII, 952 p. 377 illus.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Natural language processing (Computer science)
Artificial intelligence Information storage and retrieval Application software Natural Language Processing (NLP) Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Appl. in Administrative Data Processing |
| ISBN | 3-319-50496-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Message from the Program Committee Co-chairs -- Organization -- Contents -- Fundamentals on Language Computing -- Integrating Structural Context with Local Context for Disambiguating Word Senses -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 Generate Permuted-Lexicon-Sequence -- 2.2 Proposed Model -- 3 Evaluation -- 3.1 Data Sets -- 3.2 Experiments -- 4 Related Work -- 5 Conclusion -- Acknowledgements -- References -- Tibetan Multi-word Expressions Identification Framework Based on News Corpora -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Brief Description of Tibetan MWE Identification Framework -- 4 Tibetan MWE Identification Based on the Combination of Context Analysis and Language Model-Based Analysis -- 4.1 Context Analysis -- 4.2 Two-Word Coupling Degree -- 4.3 Tibetan Syllable Inside Word Probability -- 5 Experiments -- 5.1 Experimental Data -- 5.2 Evaluation -- 5.2.1 Evaluation for Different Strategies in Identifying Framework -- 5.2.2 Evaluation for the Effect of Context Analysis Granularity -- 5.2.3 Evaluation on Large Corpus -- 6 Conclusion -- Acknowledgements -- References -- Building Powerful Dependency Parsers for Resource-Poor Languages -- 1 Introduction -- 2 Our Approach -- 2.1 Data Preprocessing -- 2.2 Projecting Dependencies and POS Tags -- 2.3 CRF-Based POS Tagging Model -- 2.4 Graph-Based Dependency Parsing Model -- 3 Enhancing the Parsers -- 3.1 Subtree Based Features -- 3.2 Word-Cluster Based Features -- 4 Experiments -- 4.1 Data Sets -- 4.2 Results on POS Tagging -- 4.3 Results on Parsing -- 5 Related Work -- 6 Conclusions -- References -- Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Embedding Layer -- 3.2 Sentence Modeling with Bi-LSTM -- 3.3 Gated Relevance Network.
3.4 Max-Pooling Layer and MLP -- 3.5 Model Training -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Parameter Settings -- 4.3 Baselines -- 4.4 Results of Comparison Experiments -- 5 Conclusion -- References -- Syntactic Categorization and Semantic Interpretation of Chinese Nominal Compounds -- Abstract -- 1 Introduction -- 2 Related Literature -- 3 Syntactic Categorization of Nominal Compounds in Chinese -- 3.1 Basic Rules -- 3.2 Context-Based Rules -- 3.3 Rules of Named Entities -- 3.4 Rules for Syntactic Categorization -- 3.5 Syntactic Categorization Experiments -- 4 Automatic Semantic Interpretation of Head-Modifier Nominal Compounds -- 4.1 Description of the System -- 4.2 Resources and Similarity Computation -- 4.3 Noun Matching -- 4.4 Acquisition of Semantic Interpretation Templates -- 4.5 Experiments of Automatic Semantic Interpretation -- 5 Application in Syntactic Parsing and Machine Translation -- 5.1 Correction in Syntactic Parsing -- 5.2 Application in Machine Translation -- 6 Conclusions -- Acknowledgement -- References -- TDSS: A New Word Sense Representation Framework for Information Retrieval -- 1 Introduction -- 2 Related Work -- 3 A New Word Sense Representation Framework -- 4 TDSS Sense Extraction -- 4.1 Explanation Words and Context Extraction -- 4.2 Sense Graph Construction -- 4.3 Sense Generation and Weighting -- 5 Experiments -- 5.1 Evaluating Explanation Word Extraction -- 5.2 Evaluating Word Sense Generation -- 5.3 Case Study: Query Rewriting -- 6 Conclusions -- References -- A Word Vector Representation Based Method for New Words Discovery in Massive Text -- Abstract -- 1 Related Work -- 2 The New Word Discovery Method Based on Word Vector Pruning -- 2.1 Data Preprocessing -- 2.2 Word Vector Representation and Training -- 2.3 Mining n-Gram Word String -- 2.4 Pruning Based on Word Vector -- 3 Experiment Results. 3.1 Data Sets and Experimental Settings -- 3.2 The Result of New Word Detection -- 3.3 Comparative Analysis -- 3.4 Different Vector Similarity Measure Pruning Comparison -- 4 Conclusions and Future Work -- Acknowledgments -- References -- Machine Translation and Multi-lingual Information Access -- Better Addressing Word Deletion for Statistical Machine Translation -- 1 Introduction -- 2 The Proposed Approach -- 2.1 Undesired WD Classification -- 2.2 Undesired WD Model -- 2.3 Integration into SMT Decoder -- 3 Evaluation Metric - Recall of WD -- 3.1 Unigram Recall -- 4 Evaluation -- 4.1 Experiment Setup -- 4.2 Corpus -- 4.3 Results -- 4.4 Recall of WD vs Human Evaluation -- 5 Related Work -- 6 Conclusion and Future Work -- References -- A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT -- 1 Introduction -- 2 Related Work -- 3 The Proposed Joint Model -- 3.1 The Framework for Jointly Detecting Bilingual Term Pairs and Aligning Words -- 3.2 The Joint Model -- 3.3 Derivation Details -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Bilingual Parallel Active Learning Between Chinese and English -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Corpus Annotation -- 3.1 Corpus Selection -- 3.2 Annotation of Chinese Corpus -- 3.3 Mapping to English Corpus -- 3.4 Manual Adjustment -- 3.5 Alignment Statistics -- 4 Bilingual Parallel Active Learning -- 4.1 Problem Definition -- 4.2 BPAL Algorithm -- 5 Experiments -- 5.1 Corpora -- 5.2 Experimental Methods -- 5.3 Features for Relation Classification -- 5.4 Evaluation Metrics -- 5.5 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Study on the English Corresponding Unit of Chinese Clause -- Abstract -- 1 Chinese-to-English Clause-Aligned Parallel Corpus. 2 ECUCC Grammatically Annotated Corpus -- 2.1 Grammatical Analytic Principles of ECUCC -- 2.2 Grammatical Analytic System of ECUCC -- 3 Classification and Statistical Analysis of ECUCC -- 3.1 Sentences and Clauses -- 3.2 Major Clauses and Subordinate Clauses -- 3.3 Functions of Subordinate Clauses: Adverbial and Attributive -- 3.4 Structures of Subordinate Clauses: Restrictive Relative and Non-defining -- 3.5 Simple Clauses and Coordinate Clauses -- 3.6 General Analysis -- 4 Conclusion and Further Research -- Acknowledgments -- References -- Research for Uyghur-Chinese Neural Machine Translation -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Pre-process -- 3.2 Pointer-NMT Model -- 3.3 Post-process -- 4 Experiment -- 4.1 Experiment Set -- 4.2 Results of Experiment -- 5 Conclusion -- Acknowledgements -- References -- MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance -- 1 Introduction -- 2 Learning Task -- 3 MaxSD Model: Maximizing Similarity Distance Model -- 3.1 MaxSD Model -- 3.2 Bi-LSTM and BiC-LSTM Networks -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Setups -- 4.3 Results -- 5 Conclusion -- References -- Automatic Long Sentence Segmentation for Neural Machine Translation -- 1 Introduction -- 2 Related Work -- 3 Neural Machine Translation -- 4 The Segmentation Method -- 4.1 The Split Model -- 4.2 The Reordering Model -- 4.3 Joint Model: Combining the Two Submodels -- 5 Experiment -- 5.1 Setup -- 5.2 The Split Model -- 5.3 The Reordering Model -- 5.4 Comparison -- 5.5 Analysis -- 6 Conclusion and Future Work -- References -- Machine Learning for NLP -- Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN -- 1 Introduction -- 2 Related Work -- 3 Models -- 3.1 BLSTM (Bidirectional Long Short Term Memory). 3.2 CNN for Paragraph Representation -- 3.3 Model Learning -- 4 Features -- 4.1 Frequent Subsequence Mining Based Cue Phrase Identification -- 4.2 Other Features -- 5 Experiments -- 5.1 Data and Setup -- 5.2 Results -- 5.3 Error Analysis -- 6 Conclusion and Future Work -- References -- Multi-task Learning for Gender and Age Prediction on Chinese Microblog -- 1 Introduction -- 2 Multi-task Convolutional Neural Network (MTCNN) -- 2.1 Model Description -- 2.2 Model Learning -- 3 Weibo Data -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Baselines -- 4.3 Results -- 4.4 Error Analysis -- 5 Related Work -- 6 Conclusion and Future Work -- References -- Dropout Non-negative Matrix Factorization for Independent Feature Learning -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 NMF as a Linear Neural Network -- 3.2 Dropout and Sequential NMF -- 3.3 Complexity Analysis -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Experimental Settings -- 4.3 Clustering Results -- 4.4 Parameter Selection and Convergence Analysis -- 4.5 Case Study -- 5 Conclusion -- Acknowledgement -- References -- Analysing the Semantic Change Based on Word Embedding -- 1 Introduction -- 2 Related Work -- 3 Approaches -- 3.1 Word Embedding -- 3.2 Random Project Forest -- 3.3 DBSCAN -- 4 Experiments -- 4.1 Preparations -- 4.2 Detecting the Semantic Change Based on Word Embedding -- 4.3 Analysing the Semantic Trend with Word Embedding -- 4.4 Clustering on the Similar Words and Context Words -- 5 Conclusion and Future Work -- References -- Learning Word Sense Embeddings from Word Sense Definitions -- 1 Introduction -- 2 Methodology -- 2.1 Definition Understanding Model -- 2.2 Training Definition Understanding Model with Definitions of Monosemous Words -- 2.3 Word Sense Embedding Learning -- 2.4 Training with Word Sense Embeddings to Represent Words in Definitions. 3 Experiments. |
| Record Nr. | UNINA-9910483377603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region / / Edited by Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel
| Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region / / Edited by Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel |
| Pubbl/distr/stampa | Association for Computing Machinery, 2023 |
| Descrizione fisica | 1 online resource (324 p.;) |
| Altri autori (Persone) |
AiQingyao
LiuYiqin MoffatAlistair HuangXuanjing SakaiTetsuya ZobelJustin |
| Collana | ACM Conferences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ||| |
| Altri titoli varianti | SIGIR-AP '23 |
| Record Nr. | UNISA-996566862803316 |
| Association for Computing Machinery, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region / / Edited by Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel
| Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region / / Edited by Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel |
| Pubbl/distr/stampa | Association for Computing Machinery, 2023 |
| Descrizione fisica | 1 online resource (324 p.;) |
| Altri autori (Persone) |
AiQingyao
LiuYiqin MoffatAlistair HuangXuanjing SakaiTetsuya ZobelJustin |
| Collana | ACM Conferences |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ||| |
| Altri titoli varianti | SIGIR-AP '23 |
| Record Nr. | UNINA-9910765621703321 |
| Association for Computing Machinery, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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