default search action
NLPCC 2021: Qingdao, China - Part II
- Lu Wang, Yansong Feng, Yu Hong, Ruifang He:
Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13029, Springer 2021, ISBN 978-3-030-88482-6
Posters - Fundamentals of NLP
- Xichen Sun, Wenhan Chao, Zhunchen Luo:
Syntax and Coherence - The Effect on Automatic Argument Quality Assessment. 3-12 - Hu Zhang, Pengyuan Liu, Dong Yu, Sanle Zhang:
ExperienceGen 1.0: A Text Generation Challenge Which Requires Deduction and Induction Ability. 13-24
Machine Translation and Multilinguality
- Bin Ni, Xiaolei Lu, Yiqi Tong:
SynXLM-R: Syntax-Enhanced XLM-R in Translation Quality Estimation. 27-40
Machine Learning for NLP
- Xinya Zhou, Conghui Tan, Di Jiang, Bosen Zhang, Si Li, Yajing Xu, Qian Xu, Sheng Gao:
Memetic Federated Learning for Biomedical Natural Language Processing. 43-55
Information Extraction and Knowledge Graph
- Lu Dai, Bang Wang, Wei Xiang, Yijun Mo:
Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network. 59-72 - Liang Wang, Sheng Xu, Peifeng Li, Qiaoming Zhu:
Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluation. 73-85 - Yige Xu, Yichao Luo, Yicheng Zhou, Zhengyan Li, Qi Zhang, Xipeng Qiu, Xuanjing Huang:
Searching Effective Transformer for Seq2Seq Keyphrase Generation. 86-97 - Bangqi Li, Boci Peng, Yifeng Shao, Zhichun Wang:
Prerequisite Learning with Pre-trained Language and Graph Embedding Models. 98-108
Summarization and Generation
- Ruijun Chen, Jin Wang, Xuejie Zhang:
Variational Autoencoder with Interactive Attention for Affective Text Generation. 111-123 - Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, Bowen Zhou:
CUSTOM: Aspect-Oriented Product Summarization for E-Commerce. 124-136
Question Answering
- Xiaozhi Zhu, Leung-Pun Wong, Lap-Kei Lee, Hai Liu, Tianyong Hao:
FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. 139-150 - Yongjie Huang, Meng Yang, Ni Yang:
Generating Relevant, Correct and Fluent Answers in Natural Answer Generation. 151-162 - Zhen Cui, Bin Wang, Jiangzhou Ju:
GeoCQA: A Large-Scale Geography-Domain Chinese Question Answering Dataset from Examination. 163-175
Dialogue Systems
- Heng-Da Xu, Xian-Ling Mao, Zewen Chi, Fanshu Sun, Jing-Jing Zhu, Heyan Huang:
Generating Informative Dialogue Responses with Keywords-Guided Networks. 179-192 - Lu Xiang, Yang Zhao, Junnan Zhu, Yu Zhou, Chengqing Zong:
Zero-Shot Deployment for Cross-Lingual Dialogue System. 193-205 - Ting Han, Ximing Liu, Ryuichi Takanobu, Yixin Lian, Chongxuan Huang, Dazhen Wan, Wei Peng, Minlie Huang:
MultiWOZ 2.3: A Multi-domain Task-Oriented Dialogue Dataset Enhanced with Annotation Corrections and Co-Reference Annotation. 206-218 - Yuxiang Jia, Shuai Cao, Changyong Niu, Yutuan Ma, Hongying Zan, Rui Chao, Weicong Zhang:
EmoDialoGPT: Enhancing DialoGPT with Emotion. 219-231
Social Media and Sentiment Analysis
- Hui Bao, Kai He, Xuemeng Yin, Xuanyu Li, Xinrui Bao, Haichuan Zhang, Jialun Wu, Zeyu Gao:
BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews. 235-247 - Qizhi Li, Xianyong Li, Yajun Du, Xiaoliang Chen:
ISWR: An Implicit Sentiment Words Recognition Model Based on Sentiment Propagation. 248-259 - Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin:
An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification. 260-271
NLP Applications and Text Mining
- Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao:
Capturing Global Informativeness in Open Domain Keyphrase Extraction. 275-287 - Wentao Qin, Dongyan Zhao:
Background Semantic Information Improves Verbal Metaphor Identification. 288-300
Multimodality and Explainability
- Diana Lucaci, Diana Inkpen:
Towards Unifying the Explainability Evaluation Methods for NLP. 303-314
Explainable AI Workshop
- Steffen Castle, Robert Schwarzenberg, Mohsen Pourvali:
Detecting Covariate Drift with Explanations. 317-322 - Shipra Jain, Sreya Dey, Prateek Bajaj, A. S. Rohit Kumar:
A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence Systems for Textual Contexts. 323-333
Student Workshop
- Wentao Qin, Dongyan Zhao:
Enhancing Model Robustness via Lexical Distilling. 337-344 - Chunquan Chen, Lujia Bao, Weikang Li, Xiaoshuai Chen, Xinghai Sun, Chao Qi:
Multi-stage Multi-modal Pre-training for Video Representation. 345-353 - Gongxue Zhou, Weifeng Ma, Yifei Gong, Liudi Wang, Yaru Li, Yulai Zhang:
Nested Causality Extraction on Traffic Accident Texts as Question Answering. 354-362
Evaluation Workshop
- Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang:
MSDF: A General Open-Domain Multi-skill Dialog Framework. 365-376 - Jun Zhang, Yuxiang Sun, Yushi Zhang, Weijie Xu, Jiahao Ying, Yan Yang, Man Lan, Meirong Ma, Hao Yuan, Jianguo Zhu:
RoKGDS: A Robust Knowledge Grounded Dialog System. 377-387 - Jiali Zeng, Yufan Jiang, Shuangzhi Wu, Mu Li:
Enhanced Few-Shot Learning with Multiple-Pattern-Exploiting Training. 388-399 - Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, Lifang Wu:
BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training. 400-411 - Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Hu Yuan, Huilin Xu, Guoao Wei, Xiang Pan, Junyi Li, Jianlin Su, Zhenyu Yang, Renfen Hu, Hai Hu:
Few-Shot Learning for Chinese NLP Tasks. 412-421 - Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang:
When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE. 422-433 - Jiahao Chen, Zheyu He, Yujin Zhu, Liang Xu:
TKB2ert: Two-Stage Knowledge Infused Behavioral Fine-Tuned BERT. 434-446 - Yadong Zhang, Man Lan:
A Unified Information Extraction System Based on Role Recognition and Combination. 447-459 - Yaduo Liu, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Feiliang Ren:
An Effective System for Multi-format Information Extraction. 460-471 - Jingyi Sun, Qinglin Zhu, Jianzhu Bao, Jipeng Wu, Caihua Yang, Rui Wang, Ruifeng Xu:
A Hierarchical Sequence Labeling Model for Argument Pair Extraction. 472-483 - Lifeng Jin, Kun Xu, Linfeng Song, Dong Yu:
Distant Finetuning with Discourse Relations for Stance Classification. 484-495 - Wen Dai, Xinyu Hua, Rongrong Lv, Ruipeng Bo, Shuai Chen:
The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-format Information Extraction Task. 496-508 - Chongshuai Zhao, Dongjie Guo, Xudong Dai, Chengmin Gu, Lingling Fa, Peng Liu:
A Unified Platform for Information Extraction with Two-Stage Process. 509-518 - Weigang Guo, Xuefeng Yang, Xingyu Bai, Taiqiang Wu, Weijie Liu, Zhe Zhao, Qi Ju, Yujiu Yang:
Overview of the NLPCC 2021 Shared Task: AutoIE2. 519-529 - Yuming Li, Maojin Xia, Yidong Wang:
Task 1 - Argumentative Text Understanding for AI Debater (AIDebater). 530-537 - Shuheng Wang, Zimo Yin, Wei Zhang, Derong Zheng, Xuan Li:
Two Stage Learning for Argument Pairs Extraction. 538-547 - Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang:
Overview of Argumentative Text Understanding for AI Debater Challenge. 548-568 - Yi Wu, Pengyuan Liu:
ACE: A Context-Enhanced Model for Interactive Argument Pair Identification. 569-578 - Yuanling Geng, Shuqun Li, Fan Zhang, Shaowu Zhang, Liang Yang, Hongfei Lin:
Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification. 579-589 - Guneet Singh Kohli, Prabsimran Kaur, Muskaan Singh, Tirthankar Ghosal, Prashant Singh Rana:
ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals. 590-602 - Pan He, Yan Wang, Yanru Zhang:
Sentence Rewriting for Fine-Tuned Model Based on Dictionary: Taking the Track 1 of NLPCC 2021 Argumentative Text Understanding for AI Debater as an Example. 603-613 - Xiangyang Li, Zheng Li, Sujian Li, Zhimin Li, Shimin Yang:
Knowledge Enhanced Transformers System for Claim Stance Classification. 614-623
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.