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Chinese Computational Linguistics : 23rd China National Conference, CCL 2024, Taiyuan, China, July 25–28, 2024, Proceedings / / edited by Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian
Chinese Computational Linguistics : 23rd China National Conference, CCL 2024, Taiyuan, China, July 25–28, 2024, Proceedings / / edited by Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian
Autore Sun Maosong
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (604 pages)
Disciplina 006.3
Altri autori (Persone) LiangJiye
HanXianpei
LiuZhiyuan
HeYulan
RaoGaoqi
ChenYubo
TianZhiliang
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer networks
Natural language processing (Computer science)
Application software
Artificial Intelligence
Computer Communication Networks
Natural Language Processing (NLP)
Computer and Information Systems Applications
ISBN 9789819783670
9819783674
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Information Retrieval, Text Classification and QA. -- Enhancing Free-Form Table Question Answering Models by Distilling Relevant-Cell-Based Rationales. -- Enhangcing Sequence Representation for Personalized Search. -- Joint Similarity Guidance Hash Coding Based on Adaptive Weight Mixing Strategy For Cross-Modal Retrieval. -- Text Generation, Dialogue and Summarization. -- Generate-then-Revise: An Effective Synthetic Training Data Generation framework for Event Detection. -- Machine Translation and Multilingual Information Processing. -- E³: Optimizing Language Model Training for Translation via Enhancing Efficiency and Effectiveness. -- Multi-features Enhanced Multi-task Learning for Vietnamese Treebank Conversion. -- SimCLNMT: A Simple Contrastive Learning Method for Enhancing Neural Machine Translation Quality. -- Translate-and-Revise: Boosting Large Language Models for Constrained Translation. -- Knowledge Graph and Information Extraction. -- A Multi-Task Biomedical Named Entity Recognition Method Based on Data Augmentation. -- Biomedical Event Causal Relation Extraction by Reasoning Optimal Entity Relation Path. -- Joint Entity and Relation Extraction Based on Bidirectional Update and Long-Term Memory Gate Mechanism. -- MFE-NER:Multi-feature Fusion Embedding for Chinese Named Entity Recognition. -- UDAA: An Unsupervised Domain Adaptation Adversarial Learning Framework for Zero-Resource Cross-Domain Named Entity Recognition. -- Social Computing and Sentiment Analysis. -- Triple-view Event Hierarchy Model for Biomedical Event Representation. -- NLP Applications. -- DialectMoE: An End-to-End Multi-Dialect Speech Recognition Model with Mixture-of-Experts. -- Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms. -- Knowledge Graph-Enhanced Recommendation with Box Embeddings. -- Readability-guided Idiom-aware Sentence Simplification(RISS) for Chinese. -- Fundamental Theory and Method of Language Computing and Cognition. -- A Tone-based Hierarchical Structure of Chinese Prosody. -- Linguistic Guidance for Sequence-to-Sequence AMR Parsing. -- Language Resource and Evaluation. -- Automatic Construction of the English Sentence Pattern Structure Treebank for Chinese ESL learners. -- Cost-efficient Crowdsourcing for Span-based Sequence Labeling:Worker Selection and Data Augmentation. -- DLUE: Benchmarking Document Language Understanding. -- Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom. -- EmoFake: An Initial Dataset for Emotion Fake Audio Detection. -- Going Beyond Passages:Readability Assessment for Book-level Long Texts. -- Mitigating the Bias of Large Language Model Evaluation. -- PPDAC: A Plug-and -Play Data Augmentation Component for Few-shot Extractive Question Answering. -- Sentence-Space Metrics (SSM) for the Evaluation of Sentence Comprehension. -- Large Language Models. -- AuditWen: An Open-Source Large Language Model for Audit. -- Chinese Grammatical Error Correction via Large Language Model Guided Optimization Training. -- Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning. -- Prior Constrains-based Reward Model Training for Aligning Large Language Models. -- Prompt Engineering 101 Prompt Engineering Guidelines from a Linguistic Perspective.
Record Nr. UNINA-9910983332003321
Sun Maosong  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Chinese Computational Linguistics : 23rd China National Conference, CCL 2024, Taiyuan, China, July 25–28, 2024, Proceedings / / edited by Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian
Chinese Computational Linguistics : 23rd China National Conference, CCL 2024, Taiyuan, China, July 25–28, 2024, Proceedings / / edited by Maosong Sun, Jiye Liang, Xianpei Han, Zhiyuan Liu, Yulan He, Gaoqi Rao, Yubo Chen, Zhiliang Tian
Autore Sun Maosong
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (604 pages)
Disciplina 006.3
Altri autori (Persone) LiangJiye
HanXianpei
LiuZhiyuan
HeYulan
RaoGaoqi
ChenYubo
TianZhiliang
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer networks
Natural language processing (Computer science)
Application software
Artificial Intelligence
Computer Communication Networks
Natural Language Processing (NLP)
Computer and Information Systems Applications
ISBN 9789819783670
9819783674
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Information Retrieval, Text Classification and QA. -- Enhancing Free-Form Table Question Answering Models by Distilling Relevant-Cell-Based Rationales. -- Enhangcing Sequence Representation for Personalized Search. -- Joint Similarity Guidance Hash Coding Based on Adaptive Weight Mixing Strategy For Cross-Modal Retrieval. -- Text Generation, Dialogue and Summarization. -- Generate-then-Revise: An Effective Synthetic Training Data Generation framework for Event Detection. -- Machine Translation and Multilingual Information Processing. -- E³: Optimizing Language Model Training for Translation via Enhancing Efficiency and Effectiveness. -- Multi-features Enhanced Multi-task Learning for Vietnamese Treebank Conversion. -- SimCLNMT: A Simple Contrastive Learning Method for Enhancing Neural Machine Translation Quality. -- Translate-and-Revise: Boosting Large Language Models for Constrained Translation. -- Knowledge Graph and Information Extraction. -- A Multi-Task Biomedical Named Entity Recognition Method Based on Data Augmentation. -- Biomedical Event Causal Relation Extraction by Reasoning Optimal Entity Relation Path. -- Joint Entity and Relation Extraction Based on Bidirectional Update and Long-Term Memory Gate Mechanism. -- MFE-NER:Multi-feature Fusion Embedding for Chinese Named Entity Recognition. -- UDAA: An Unsupervised Domain Adaptation Adversarial Learning Framework for Zero-Resource Cross-Domain Named Entity Recognition. -- Social Computing and Sentiment Analysis. -- Triple-view Event Hierarchy Model for Biomedical Event Representation. -- NLP Applications. -- DialectMoE: An End-to-End Multi-Dialect Speech Recognition Model with Mixture-of-Experts. -- Distinguishing Neural Speech Synthesis Models Through Fingerprints in Speech Waveforms. -- Knowledge Graph-Enhanced Recommendation with Box Embeddings. -- Readability-guided Idiom-aware Sentence Simplification(RISS) for Chinese. -- Fundamental Theory and Method of Language Computing and Cognition. -- A Tone-based Hierarchical Structure of Chinese Prosody. -- Linguistic Guidance for Sequence-to-Sequence AMR Parsing. -- Language Resource and Evaluation. -- Automatic Construction of the English Sentence Pattern Structure Treebank for Chinese ESL learners. -- Cost-efficient Crowdsourcing for Span-based Sequence Labeling:Worker Selection and Data Augmentation. -- DLUE: Benchmarking Document Language Understanding. -- Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcom. -- EmoFake: An Initial Dataset for Emotion Fake Audio Detection. -- Going Beyond Passages:Readability Assessment for Book-level Long Texts. -- Mitigating the Bias of Large Language Model Evaluation. -- PPDAC: A Plug-and -Play Data Augmentation Component for Few-shot Extractive Question Answering. -- Sentence-Space Metrics (SSM) for the Evaluation of Sentence Comprehension. -- Large Language Models. -- AuditWen: An Open-Source Large Language Model for Audit. -- Chinese Grammatical Error Correction via Large Language Model Guided Optimization Training. -- Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning. -- Prior Constrains-based Reward Model Training for Aligning Large Language Models. -- Prompt Engineering 101 Prompt Engineering Guidelines from a Linguistic Perspective.
Record Nr. UNISA-996630870003316
Sun Maosong  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Chinese computational linguistics : 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023 : proceedings / / Maosong Sun, Bing Qin, Xipeng Qiu, Jiang Jing, Xianpei Han, Gaoqi Rao, Yubo Chen, editors
Chinese computational linguistics : 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023 : proceedings / / Maosong Sun, Bing Qin, Xipeng Qiu, Jiang Jing, Xianpei Han, Gaoqi Rao, Yubo Chen, editors
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer, , 2023
Descrizione fisica 1 online resource (xxii, 466 pages) : illustrations (chiefly color)
Altri autori (Persone) SunMaosong
QinBing (Professor of computer science)
QiuXipeng
JingJiang
HanXianpei
RaoGaoqi
ChenYubo
Collana Lecture Notes in Computer Science Series
Soggetto topico Big data
Chinese language - Data processing
Computational linguistics
Natural language processing (Computer science)
ISBN 981-9962-07-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996550554903316
Singapore : , : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Chinese Computational Linguistics : 22nd China National Conference, CCL 2023, Harbin, China, August 3–5, 2023, Proceedings / / edited by Maosong Sun, Bing Qin, Xipeng Qiu, Jiang Jing, Xianpei Han, Gaoqi Rao, Yubo Chen
Chinese Computational Linguistics : 22nd China National Conference, CCL 2023, Harbin, China, August 3–5, 2023, Proceedings / / edited by Maosong Sun, Bing Qin, Xipeng Qiu, Jiang Jing, Xianpei Han, Gaoqi Rao, Yubo Chen
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (xxii, 466 pages) : illustrations (chiefly color)
Disciplina 006.35
Altri autori (Persone) SunMaosong
QinBing (Professor of computer science)
QiuXipeng
JingJiang
HanXianpei
RaoGaoqi
ChenYubo
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Natural language processing (Computer science)
Computer engineering
Computer networks
Application software
Natural Language Processing (NLP)
Computer Engineering and Networks
Computer and Information Systems Applications
Tractament del llenguatge natural (Informàtica)
Enginyeria de programari
Xarxes d'ordinadors
Economia digital
Programari d'aplicació
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9789819962075
9819962072
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910746284403321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding : Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers / / edited by Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding : Third China Conference, CCKS 2018, Tianjin, China, August 14–17, 2018, Revised Selected Papers / / edited by Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVI, 143 p. 77 illus., 45 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine theory
Information technology - Management
Data mining
Artificial Intelligence
Formal Languages and Automata Theory
Computer Application in Administrative Data Processing
Data Mining and Knowledge Discovery
ISBN 981-13-3146-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Towards answering geography questions in Gaokao: a hybrid approach -- Distant supervision for chinese temporal tagging -- Convolutional neural network-based question answering over knowledge base with type constraint -- MMCRD: An effective algorithm for deploying monitoring point on social network -- Deep learning for knowledge-driven ontology stream prediction -- DSKG: a Deep sequential model for knowledge graph completion -- Pattern learning for Chinese open information extraction -- Adversarial training for relation classification with attention based gate mechanism -- A novel approach on entity linking for encyclopedia infoboxes -- Predicting concept-based research trends with rhetorical framing -- Knowledge augmented inference network for natural language inference -- Survey on schema induction from knowledge graphs.
Record Nr. UNINA-9910350237503321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence [[electronic resource] ] : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence [[electronic resource] ] : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang
Autore Wang Haofen
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (371 pages)
Disciplina 006.3
Altri autori (Persone) HanXianpei
LiuMing
ChengGong
LiuYongbin
ZhangNingyu
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Information storage and retrieval systems
Database management
Data mining
Information technology - Management
Artificial Intelligence
Computer and Information Systems Applications
Information Storage and Retrieval
Database Management
Data Mining and Knowledge Discovery
Computer Application in Administrative Data Processing
ISBN 981-9972-24-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Representation and Knowledge Graph Reasoning -- Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning -- CausE: Towards Causal Knowledge Graph Embedding -- Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2 -- Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information -- Knowledge Acquisition and Knowledge Base Construction -- Harvesting Event Schemas from Large Language Models -- NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction -- Event-Centric Opinion Mining via In-Context Learning with ChatGPT -- Relation repository based adaptive clustering for Open Relation Extraction -- Knowledge Integration and Knowledge Graph Management -- LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering -- Natural Language Understanding and Semantic Computing -- Multi-Perspective Frame Element Representation for Machine Reading Comprehension -- A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation -- Conversational Search based on Utterance-Mask-Passage Post-training -- Knowledge Graph Applications -- Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models -- GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization -- Feature Enhanced Structured Reasoning for Question Answering -- Knowledge Graph Open Resources -- Conditional Knowledge Graph: Design, Dataset and a Preliminary Model -- ODKG: An Official Document Knowledge Graph for the Effective Management -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- Moral Essential Elements: MEE - A Dataset for Moral Judgement -- Evaluations -- Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views -- Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning -- A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction -- LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base -- Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts -- In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models -- A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement -- Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models.
Record Nr. UNISA-996558567603316
Wang Haofen  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang
Autore Wang Haofen
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (371 pages)
Disciplina 006.3
Altri autori (Persone) HanXianpei
LiuMing
ChengGong
LiuYongbin
ZhangNingyu
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Information storage and retrieval systems
Database management
Data mining
Information technology - Management
Artificial Intelligence
Computer and Information Systems Applications
Information Storage and Retrieval
Database Management
Data Mining and Knowledge Discovery
Computer Application in Administrative Data Processing
Intel·ligència artificial
Gestió de bases de dades
Programari d'aplicació
Recuperació de la informació
Mineria de dades
Tecnologia de la informació
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9789819972241
9819972248
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Knowledge Representation and Knowledge Graph Reasoning -- Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning -- CausE: Towards Causal Knowledge Graph Embedding -- Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2 -- Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information -- Knowledge Acquisition and Knowledge Base Construction -- Harvesting Event Schemas from Large Language Models -- NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction -- Event-Centric Opinion Mining via In-Context Learning with ChatGPT -- Relation repository based adaptive clustering for Open Relation Extraction -- Knowledge Integration and Knowledge Graph Management -- LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering -- Natural Language Understanding and Semantic Computing -- Multi-Perspective Frame Element Representation for Machine Reading Comprehension -- A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation -- Conversational Search based on Utterance-Mask-Passage Post-training -- Knowledge Graph Applications -- Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models -- GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization -- Feature Enhanced Structured Reasoning for Question Answering -- Knowledge Graph Open Resources -- Conditional Knowledge Graph: Design, Dataset and a Preliminary Model -- ODKG: An Official Document Knowledge Graph for the Effective Management -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- MoralEssential Elements: MEE - A Dataset for Moral Judgement -- Evaluations -- Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views -- Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning -- A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction -- LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base -- Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts -- In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models -- A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement -- Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models.
Record Nr. UNINA-9910755072803321
Wang Haofen  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui