ACL 2020 paper list

award papers

• [ ] Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
• [ ] Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
• [ ] Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
• [ ] Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
• [ ] How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
• [ ] GAIA: A Fine-grained Multimedia Knowledge Extraction System
• [ ] Torch-Struct: Deep Structured Prediction Library
• [ ] Prta: A System to Support the Analysis of Propaganda Techniques in the News

任务分类

NER

• [ ] A Unified MRC Framework for Named Entity Recognition. Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu and Jiwei Li
• [ ] Bipartite Flat-Graph Network for Nested Named Entity Recognition. Ying Luo and Hai Zhao
• [ ] Code and Named Entity Recognition in StackOverflow. Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter
• [ ] Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer. Jianfei Yu, Jing Jiang, Li Yang and Rui Xia
• [ ] Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference. Jing Wang, Mayank Kulkarni and Daniel Preotiuc-Pietro
• [ ] Named Entity Recognition without Labelled Data: A Weak Supervision Approach. Pierre Lison, Jeremy Barnes, Aliaksandr Hubin and Samia Touileb
• [ ] Pyramid: A Layered Model for Nested Named Entity Recognition. Jue Wang, Lidan Shou, Ke Chen and Gang Chen
• [ ] Sources of Transfer in Multilingual Named Entity Recognition. David Mueller, Nicholas Andrews and Mark Dredze
• [ ] Temporally-Informed Analysis of Named Entity Recognition. Shruti Rijhwani and Daniel Preotiuc-Pietro
• [ ] Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Mahani Aljunied and Lidong Bing
• [ ] Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno and Kentaro Inui
• [ ] Named Entity Recognition as Dependency Parsing. Juntao Yu, Bernd Bohnet and Massimo Poesio
• [ ] Soft Gazetteers for Low-Resource Named Entity Recognition. Shruti Rijhwani, Shuyan Zhou, Graham Neubig and Jaime Carbonell
• [ ] TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar and Xiang Ren
• [ ] Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki and Kentaro Inui

ABSA

• [ ] Aspect Sentiment Classification with Document-level Sentiment Preference Modeling
• [ ] Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation. Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling and Yan Song
• [ ] Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
• [ ] Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis
• [ ] Relational Graph Attention Network for Aspect-based Sentiment Analysis
• [ ] Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
• [ ] SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. He Zhao, Longtao Huang, Rong Zhang, Quan Lu and Hui Xue
• [ ] Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction. Shaowei Chen, Jie Liu, Yu Wang, Wenzheng Zhang and Ziming Chi
• [ ] Don’t Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction. Zhenkai Wei, Yu Hong, Bowei Zou, Meng Cheng and Jianmin Yao
• [ ] Embarrassingly Simple Unsupervised Aspect Extraction. Stéphan Tulkens and Andreas van Cranenburgh

MRC

• [ ] A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu and Minlie Huang
• [ ] Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset. Xiang Yue, Bernal Jimenez Gutierrez and Huan Sun
• [ ] Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou and Ting Liu
• [ ] Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu and Daxin Jiang
• [ ] Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen and Dong Yu
• [ ] STARC: Structured Annotations for Reading Comprehension. Yevgeni Berzak, Jonathan Malmaud and Roger Levy
• [ ] A Frame-based Sentence Representation for Machine Reading Comprehension. Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao and Yueping Zhang
• [ ] Benefits of Intermediate Annotations in Reading Comprehension. Dheeru Dua, Sameer Singh and Matt Gardner
• [ ] Dynamic Sampling Strategies for Multi-Task Reading Comprehension. Ananth Gottumukkala, Dheeru Dua, Sameer Singh and Matt Gardner

单位分类

教父

• [ ] Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. Wenyu DU, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang
• [ ] Compositional generalization by factorizing alignment and translation. Jacob Russin, Jason Jo, Randall O’Reilly and Yoshua Bengio

facebook

• [ ] TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. Pengcheng Yin, Graham Neubig, Wen-tau Yih and Sebastian Riedel

MSRA

• [ ] A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction. Shuo Ren, Shujie Liu, Ming Zhou and Shuai Ma
• [ ] Curriculum Pre-training for End-to-End Speech Translation. Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou and Zhenglu Yang
• [ ] Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang and Ming Zhou
• [ ] Graph Neural News Recommendation with Unsupervised Preference Disentanglement. Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie and Ming Zhou
• [ ] Improving Neural Machine Translation with Soft Template Prediction. Jian Yang, Shuming Ma, Dongdong Zhang, Zhoujun Li and Ming Zhou
• [ ] LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang and Jian Yin
• [ ] MIND: A Large-scale Dataset for News Recommendation. Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu and Ming Zhou
• [ ] MuTual: A Dataset for Multi-Turn Dialogue Reasoning. Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang and Ming Zhou
• [ ] Reasoning Over Semantic-Level Graph for Fact Checking. Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang and Jian Yin
• [ ] A Simple and Effective Unified Encoder for Document-Level Machine Translation. Shuming Ma, Dongdong Zhang and Ming Zhou
• [ ] A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation. Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou and Shuai Ma

stanford

• [ ] Finding Universal Grammatical Relations in Multilingual BERT. Ethan A. Chi, John Hewitt and Christopher D. Manning
• [ ] Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D. Manning and Curtis Langlotz
• [ ] Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation. Kaustubh Dhole and Christopher D. Manning
• [ ] Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton and Christopher D. Manning

thunlp

• [ ] Continual Relation Learning via Episodic Memory Activation and Reconsolidation. Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou
• [ ] Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu and Tat-Seng Chua
• [ ] Fine-grained Fact Verification with Kernel Graph Attention Network. Zhenghao Liu, Chenyan Xiong, Maosong Sun and Zhiyuan Liu
• [ ] Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. Houyu Zhang, Zhenghao Liu, Chenyan Xiong and Zhiyuan Liu
• [ ] How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence. Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu and Maosong Sun
• [ ] Word-level Textual Adversarial Attacking as Combinatorial Optimization. Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu and Maosong Sun
• [ ] MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu and Jie Tang

哈工大

• [ ] Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu
• [ ] Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang and Ting Liu
• [ ] Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu and Ting Liu
• [ ] Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu and Ting Liu
• [ ] How Does Selective Mechanism Improve Self-Attention Networks?. Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu and Zhaopeng Tu
• [ ] Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li and Ting Liu
• [ ] Towards Conversational Recommendation over Multi-Type Dialogs. Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu
• [ ] Conversational Word Embedding for Retrieval-Based Dialog System. Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang and Guoping Hu
• [ ] TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing.Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang and Guoping Hu

ByteDance

• [ ] Fact-based Text Editing. Hayate Iso, Chao Qiao and Hang Li
• [ ] Spelling Error Correction with Soft-Masked BERT. Shaohua Zhang, Haoran Huang, Jicong Liu and Hang Li