| TÃtulo : |
10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part I |
| Tipo de documento: |
documento electrónico |
| Autores: |
Wang, Lu, ; Feng, Yansong, ; Hong, Yu, ; He, Ruifang, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XXXVI, 840 p. 330 ilustraciones, 200 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-88480-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial Procesamiento del lenguaje natural (Informática) Procesamiento de datos Sistemas de almacenamiento y recuperación de información Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este conjunto de dos volúmenes de LNAI 13028 y LNAI 13029 constituye las actas arbitradas de la décima Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2021, celebrada en Qingdao, China, en octubre de 2021. Los 66 artÃculos completos, 23 artÃculos tipo póster, y 27 artÃculos de taller presentados fueron cuidadosamente revisados ​​y seleccionados entre 446 presentaciones. Están organizados en las siguientes áreas: Fundamentos de PNL; Traducción Automática y Multilingüismo; Aprendizaje automático para PNL; Extracción de Información y Gráfico de Conocimiento; Resumen y Generación; Respuesta a preguntas; Sistemas de Diálogo; Análisis de Sentimientos y Redes Sociales; Aplicaciones de PNL y MinerÃa de Textos; y Multimodalidad y Explicabilidad. |
| Nota de contenido: |
Oral - Fundamentals of NLP -- Coreference Resolution: Are the eliminated spans totally worthless? -- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network -- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space -- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing -- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks -- CTRD: A Chinese Theme-Rheme Discourse Dataset -- Machine Translation and Multilinguality -- Learning to Select Relevant Knowledge for Neural Machine Translation -- Contrastive Learning for Machine Translation Quality Estimation -- Sentence-State LSTMs for Sequence-to-Sequence Learning -- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models -- Adaptive Transformer for Multilingual Neural Machine Translation -- Improving Non-Autoregressive Machine Translation with Soft-Masking -- Machine Learning for NLP -- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space -- AutoTrans: Automating Transformer Design via Reinforced Architecture Search -- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information -- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer -- Pre-trained Language models for Tagalog with Multi source data -- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation -- Information Extraction and Knowledge Graph -- Employing Sentence Compression to improve Event Coreference Resolution -- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment -- Employing Multi-granularity Features to Extract Entity Relation in Dialogue -- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning -- Entity-Aware Relation Representation Learning for Open Relation Extraction -- ReMERT: Relational Memory-based Extraction for Relational Triples -- Recognition of Nested Entity with Dependency Information -- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction -- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER -- Summarization and Generation -- Diversified Paraphrase Generation with Commonsense Knowledge Graph -- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation -- Chinese Poetry Generation with Metrical Constraints -- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level -- Question Generation from Code Snippets and Programming Error Messages -- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network -- Question Answering -- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension -- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension -- Dialogue Systems -- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection -- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling -- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution -- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation -- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF -- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction -- Social Media and Sentiment Analysis -- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis -- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis -- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification -- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection -- Aspect-Sentiment-Multiple-Opinion Triplet Extraction -- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis -- Emotion Classification with Explicit and Implicit Syntactic Information -- MUMOR:A Multimodal Dataset for Humor Detection in Conversations -- NLP Applications and Text Mining -- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification -- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling -- Aggregating inter-viewpoint relationships of user's review for accurate recommendation -- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification -- Sentence Ordering by Context-enhanced Pairwise Comparison -- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation -- A Simple Baseline for Cross-domain Few-shot Text Classification -- Shared Component Cross Punctuation Clauses Recognition in Chinese -- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics -- Uncertainty-aware Self-paced Learning for Grammatical Error Correction -- Metaphor Recognition and Analysis via Data Augmentation -- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning -- Multimodality and Explainability -- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks -- XGPT: Cross-modal Generative Pre-Training for Image Captioning -- An Object-Extensible Training Framework for Image Captioning -- Relation-aware Multi-hop Reasoning for Visual Dialog -- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part I [documento electrónico] / Wang, Lu, ; Feng, Yansong, ; Hong, Yu, ; He, Ruifang, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXXVI, 840 p. 330 ilustraciones, 200 ilustraciones en color. ISBN : 978-3-030-88480-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial Procesamiento del lenguaje natural (Informática) Procesamiento de datos Sistemas de almacenamiento y recuperación de información Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este conjunto de dos volúmenes de LNAI 13028 y LNAI 13029 constituye las actas arbitradas de la décima Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2021, celebrada en Qingdao, China, en octubre de 2021. Los 66 artÃculos completos, 23 artÃculos tipo póster, y 27 artÃculos de taller presentados fueron cuidadosamente revisados ​​y seleccionados entre 446 presentaciones. Están organizados en las siguientes áreas: Fundamentos de PNL; Traducción Automática y Multilingüismo; Aprendizaje automático para PNL; Extracción de Información y Gráfico de Conocimiento; Resumen y Generación; Respuesta a preguntas; Sistemas de Diálogo; Análisis de Sentimientos y Redes Sociales; Aplicaciones de PNL y MinerÃa de Textos; y Multimodalidad y Explicabilidad. |
| Nota de contenido: |
Oral - Fundamentals of NLP -- Coreference Resolution: Are the eliminated spans totally worthless? -- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network -- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space -- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing -- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks -- CTRD: A Chinese Theme-Rheme Discourse Dataset -- Machine Translation and Multilinguality -- Learning to Select Relevant Knowledge for Neural Machine Translation -- Contrastive Learning for Machine Translation Quality Estimation -- Sentence-State LSTMs for Sequence-to-Sequence Learning -- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models -- Adaptive Transformer for Multilingual Neural Machine Translation -- Improving Non-Autoregressive Machine Translation with Soft-Masking -- Machine Learning for NLP -- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space -- AutoTrans: Automating Transformer Design via Reinforced Architecture Search -- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information -- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer -- Pre-trained Language models for Tagalog with Multi source data -- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation -- Information Extraction and Knowledge Graph -- Employing Sentence Compression to improve Event Coreference Resolution -- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment -- Employing Multi-granularity Features to Extract Entity Relation in Dialogue -- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning -- Entity-Aware Relation Representation Learning for Open Relation Extraction -- ReMERT: Relational Memory-based Extraction for Relational Triples -- Recognition of Nested Entity with Dependency Information -- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction -- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER -- Summarization and Generation -- Diversified Paraphrase Generation with Commonsense Knowledge Graph -- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation -- Chinese Poetry Generation with Metrical Constraints -- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level -- Question Generation from Code Snippets and Programming Error Messages -- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network -- Question Answering -- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension -- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension -- Dialogue Systems -- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection -- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling -- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution -- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation -- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF -- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction -- Social Media and Sentiment Analysis -- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis -- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis -- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification -- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection -- Aspect-Sentiment-Multiple-Opinion Triplet Extraction -- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis -- Emotion Classification with Explicit and Implicit Syntactic Information -- MUMOR:A Multimodal Dataset for Humor Detection in Conversations -- NLP Applications and Text Mining -- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification -- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling -- Aggregating inter-viewpoint relationships of user's review for accurate recommendation -- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification -- Sentence Ordering by Context-enhanced Pairwise Comparison -- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation -- A Simple Baseline for Cross-domain Few-shot Text Classification -- Shared Component Cross Punctuation Clauses Recognition in Chinese -- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics -- Uncertainty-aware Self-paced Learning for Grammatical Error Correction -- Metaphor Recognition and Analysis via Data Augmentation -- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning -- Multimodality and Explainability -- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks -- XGPT: Cross-modal Generative Pre-Training for Image Captioning -- An Object-Extensible Training Framework for Image Captioning -- Relation-aware Multi-hop Reasoning for Visual Dialog -- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |