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Natural Language Processing and Chinese Computing

10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13–17, 2021, Proceedings, Part I

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Lu Wang

    1. University of Michigan, Ann Arbor, USA

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  2. Yansong Feng

    1. Peking University, Beijing, China

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  3. Yu Hong

    1. Soochow University, Suzhou, China

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  4. Ruifang He

    1. Tianjin University, Tianjin, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13028)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: NLPCC 2021.

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Table of contents (66 papers)

  1. Front Matter

    Pages i-xxxvi
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  2. Oral - Fundamentals of NLP

    1. Front Matter

      Pages 1-1
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    2. Coreference Resolution: Are the Eliminated Spans Totally Worthless?

      • Xin Tan, Longyin Zhang, Guodong Zhou
      Pages 3-14

    3. Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network

      • Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li, Qiaoming Zhu
      Pages 15-26

    4. Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space

      • Baoju Liu, Lei Hou, Xin Lv, Juanzi Li, Jinghui Xiao
      Pages 27-39

    5. Multi-level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing

      • Jinfeng Wang, Longyin Zhang, Fang Kong
      Pages 40-52

    6. ProPC: A Dataset for In-Domain and Cross-Domain Proposition Classification Tasks

      • Mengyang Hu, Pengyuan Liu, Lin Bo, Yuting Mao, Ke Xu, Wentao Su
      Pages 53-64

    7. CTRD: A Chinese Theme-Rheme Discourse Dataset

      • Biao Fu, Yiqi Tong, Dawei Tian, Yidong Chen, Xiaodong Shi, Ming Zhu
      Pages 65-76

  3. Machine Translation and Multilinguality

    1. Front Matter

      Pages 77-77
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    2. Learning to Select Relevant Knowledge for Neural Machine Translation

      • Jian Yang, Juncheng Wan, Shuming Ma, Haoyang Huang, Dongdong Zhang, Yong Yu et al.
      Pages 79-91

    3. Contrastive Learning for Machine Translation Quality Estimation

      • Hui Huang, Hui Di, Jian Liu, Yufeng Chen, Kazushige Ouchi, Jinan Xu
      Pages 92-103

    4. Sentence-State LSTMs For Sequence-to-Sequence Learning

      • Xuefeng Bai, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo et al.
      Pages 104-115

    5. Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models

      • Zinong Yang, Ke-jia Chen, Jingqiang Chen
      Pages 116-128

    6. Adaptive Transformer for Multilingual Neural Machine Translation

      • Junpeng Liu, Kaiyu Huang, Jiuyi Li, Huan Liu, Degen Huang
      Pages 129-140

    7. Improving Non-autoregressive Machine Translation with Soft-Masking

      • Shuheng Wang, Shumin Shi, Heyan Huang
      Pages 141-152

  4. Machine Learning for NLP

    1. Front Matter

      Pages 153-153
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    2. AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space

      • Wei Zhu
      Pages 155-168

    3. AutoTrans: Automating Transformer Design via Reinforced Architecture Search

      • Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie
      Pages 169-182

    4. A Word-Level Method for Generating Adversarial Examples Using Whole-Sentence Information

      • Yufei Liu, Dongmei Zhang, Chunhua Wu, Wei Liu
      Pages 183-195

    5. RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer

      • Xiaoxuan Hu, Hengtong Zhang , Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen
      Pages 196-209
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Other volumes

  1. Natural Language Processing and Chinese Computing

  2. Natural Language Processing and Chinese Computing

Keywords

About this book

This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021.

The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

Editors and Affiliations

  • University of Michigan, Ann Arbor, USA

    Lu Wang

  • Peking University, Beijing, China

    Yansong Feng

  • Soochow University, Suzhou, China

    Yu Hong

  • Tianjin University, Tianjin, China

    Ruifang He

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