COLING 2020 paper list

COLING 2020发布了今年的录用文章。

机构分类

Thunlp

这次没有关系抽取，一篇用HowNet做消歧，一篇少样本关系分类。

• Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet. Bairu Hou, Fanchao Qi, Yuan Zang, Xurui Zhang, Zhiyuan Liu and Maosong Sun
• Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun

Tencent AI Lab

Tencent AI Lab还是一如既往主攻平民玩不起的机器翻译和文本生成领域，不过有一篇非机器翻译的文章研究Transformer。

• Emotion Classification by Jointly Learning to Lexiconize and Classify. Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu and Mu Li
• EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu and Zhumin CHEN
• Localness Matters: The Evolved Cross-Attention for Non-Autoregressive Translation. Liang Ding, Di Wu, Longyue Wang, Dacheng Tao and Zhaopeng Tu
• Rethinking the Value of Transformer Components. Wenxuan Wang, Zhaopeng Tu.

MSRA

• Unsupervised Fine-tuning for Text Clustering. Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhan, Ming Zhou
• At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization. Qingyu Zhou, Furu Wei and Ming Zhou
• DocBank: A Benchmark Dataset for Document Layout Analysis. Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li and Ming Zhou

哈工大

• A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang and Guoping Hu
• CharBERT: Character-aware Pre-trained Language Model. Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang and Guoping Hu

复旦

• CoLAKE: Contextualized Language and Knowledge Embedding. Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang and Zheng Zhang
• GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. Zhijing Jin, Qipeng Guo, Xipeng Qiu and Zheng Zhang

任务分类

除了以上，再按照任务分类，只选自己感兴趣的。

NER

• An Analysis of Simple Data Augmentation for Named Entity Recognition. Xiang Dai and Heike Adel
• Building Hierarchically Disentangled Language Models for Text Generation with Named Entities. Yash Agarwal, Devansh Batra and Ganesh Bagler
• DaN+: Danish Nested Named Entities and Lexical Normalization Barbara Plank, Kristian Nørgaard Jensen and Rob van der Goot
• Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition. Cedric Lothritz, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé and Jacques Klein
• Exploring Cross-sentence Contexts for Named Entity Recognition with BERT. Jouni Luoma and Sampo Pyysalo
• Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition. Ngoc Phuoc An Vo, Irene Manotas, Vadim Sheinin and Octavian Popescu
• Leveraging HTML in Free Text Web Named Entity Recognition. Colin Ashby and David Weir
• MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. Tao Zhang, Congying Xia, Chun-Ta Lu and Philip Yu
• Named Entity Recognition for Chinese biomedical patents. Yuting Hu and Suzan Verberne
• Neural Language Modeling for Named Entity Recognition. Zhihong Lei, Weiyue Wang, Christian Dugast and Hermann Ney

ABSA

• Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network. Hongjie Cai, Xiangsheng Zhou, Yaofeng Tu, Jianfei Yu and Rui Xia
• Attention Transfer Network for Aspect-level Sentiment Classification. Fei Zhao, Zhen Wu and Xinyu Dai
• Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. Dongmin Hyun, Junsu Cho and Hwanjo Yu
• Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks. Guimin Chen, Yuanhe Tian and Yan Song
• Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du and Ruifeng Xu
• Label Correction Model for Aspect-based Sentiment Analysis. Qianlong Wang and Jiangtao Ren
• METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang and Liang Pang
• PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. Yichun Yin, Chenguang Wang and Ming Zhang
• Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts. Vorakit Vorakitphan, Marco Guerini, Elena Cabrio and Serena Villata
• Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction. Oren Pereg, Daniel Korat and Moshe Wasserblat
• Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification. Lianzhe Huang, Xin Sun, Sujian Li, Linhao Zhang and Houfeng Wang
• Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. Hu Xu, Lei Shu, Philip Yu and Bing Liu

预训练

• Does Chinese BERT Encode Word Structure?. Yile Wang, Leyang Cui and Yue Zhang

MRC

• Bi-directional Cognitive Thinking Network for Machine Reading Comprehension. Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Jing Yu, Yajing Sun and Xiangpeng Wei
• Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension. Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li and Hongye Tan
• Robust Machine Reading Comprehension by Learning Soft labels. Zhenyu Zhao, Shuangzhi Wu, Muyun Yang, Kehai Chen and Tiejun Zhao

QA

• Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. Quan Hung Tran, Nhan Dam, Tuan Lai, Franck Dernoncourt, Trung Le, Nham Le and Dinh Phung
• Graph-Based Co-reference and Relation Knowledge Integration for Question Answering over Dialogue. Jian Liu, Dianbo Sui, Kang Liu and Jun Zhao
• Handling Anomalies of Synthetic Questions in Unsupervised Question Answering. Giwon Hong, Junmo Kang, Doyeon Lim and Sung-Hyon Myaeng

KG

• DisenE: Disentangling Knowledge Graph Embeddings. Xiaoyu Kou, Yankai Lin, Yuntao Li, Jiahao Xu, Peng Li, Jie Zhou and Yan Zhang
• AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding. Yuzhang Liu, Peng Wang, Yingtai Li, Yizhan Shao and Zhongkai Xu
• Knowledge Graph Embedding with Atrous Convolution and Residual Learning. Feiliang Ren
• Knowledge Graph Embeddings in Geometric Algebras. Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen and Jens Lehmann
• Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity. Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou and Chengqing Zong
• Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs. Zikang Wang, Linjing Li and Daniel Zeng
• RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. Hao Huang, Guodong Long, Tao Shen, Jing Jiang and Chengqi Zhang
• TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation. Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi and Jens Lehmann