Wang Lu, Feng Yansong, Hong Yu Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Pa 9783030884796

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Автор: Wang Lu, Feng Yansong, Hong Yu
Название: Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Pa
ISBN: 9783030884796
Издательство: Springer
Классификация:

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ISBN-10: 3030884791
Обложка/Формат: Paperback
Страницы: 878
Вес: 1.21 кг.
Дата издания: 12.11.2021
Серия: Lecture notes in artificial intelligence
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 200 illustrations, color; 130 illustrations, black and white; xxxvi, 840 p. 330 illus., 200 illus. in color.
Размер: 23.39 x 15.60 x 4.42 cm
Читательская аудитория: Professional & vocational
Подзаголовок: 10th ccf international conference, nlpcc 2021, qingdao, china, october 13-17, 2021, proceedings, part i
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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-Opini

Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Pa, Wang Lu, Feng Yansong, Hong Yu