Chinese Computational Linguistics: 19th China National Conference, CCL 2020, Hainan, China, October 30 - November 1, 2020, Proceedings

by Maosong Sun (Editor), Sujian Li (Editor), Yue Zhang (Editor), Yang Liu (Editor), Shizhu He (Editor)

Overview

This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020.

The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. They were organized in topical sections named: fundamental theory and methods of computational linguistics; information retrieval, dialogue and question answering; text generation and summarization; knowledge graph and information extraction; machine translation and multilingual information processing; minority language information processing; language resource and evaluation; social computing and sentiment analysis; and NLP applications.

Product Details

ISBN-13:	9783030630300
Publisher:	Springer International Publishing
Publication date:	11/12/2020
Series:	Lecture Notes in Computer Science , #12522
Edition description:	1st ed. 2020
Pages:	482
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Fundamental Theory and Methods of Computational Linguistics.- A Joint Model for Graph-based Chinese Dependency Parsing.- Semantic-aware Chinese Zero Pronoun Resolution with Pre-trained Semantic Dependency Parser.- Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning.- Information Retrieval, Dialogue and Question Answering.- Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding.- Combining Impression Feature Representation for Multi-turn Conversational Question Answering.- Text Generation and Summarization.- Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches.- Refining Data for Text Generation.- Plan-CVAE: A Planning-based Conditional Variational Autoencoder for Story Generation.- Knowledge Graph and Information Extraction.- Towards Causal Explanation Detection with Pyramid Salient-Aware Network.- Named Entity Recognition with Context-AwareDictionary Knowledge.- Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism.- A Practice of Tourism Knowledge Graph Construction based on Heterogeneous Information.- A Novel Joint Framework for Multiple Chinese Events Extraction.- Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction.- Machine Translation and Multilingual Information Processing.- A Mixed Learning Objective for Neural Machine Translation.-Multi-Reward based Reinforcement Learning for Neural Machine Translation.- Minority Language Information Processing.- Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning.- Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection.- Recognition Method of Important Words in Korean Text based on Reinforcement Learning.- Mongolian Questions Classification Based on Multi-Head Attention.- Language Resource and Evaluation.- The Annotation Scheme of English-Chinese Clause Alignment Corpus.- Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explainable Tool.- LiveQA: A Question Answering Dataset over Sports Live.- Chinese and English Elementary Discourse Units Recognition based on Bi-LSTM-CRF Model.- Social Computing and Sentiment Analysis.- Better Queries for Aspect-Category Sentiment Classification.- Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language.- CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue.- A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer.- NLP Applications.- Compress Polyphone Pronunciation Prediction Model with Shared Labels.- Multi-task Legal Judgement Prediction Combining a Subtask of Seriousness of Charge.- Clickbait Detection with Style-aware Title Modeling and Co-attention.- Konwledge-EnabledDiagnosis Assistant Based on Obstetric EMRs and Knowledge Graph.- Reusable Phrase Extraction Based on Syntactic Parsing.- WAE_RN: Integrating Wasserstein Autoencoder and Relational Network for Text Sequence.