EMNLP

Uncertainty-Aware Label Refinement for Sequence Labeling

Tao Gui, Jiacheng Ye, Qi Zhang, Zhengyan Li, Zichu Fei, Yeyun Gong, Xuanjing Huang

Comments Accepted by EMNLP 2020

Mention Extraction and Linking for SQL Query Generation

Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen

Comments Accepted in EMNLP 2020. This work is also known as "IE-SQL: Text-to-SQL as Information Extraction"

Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets

Ayush Kaushal, Tejas Vaidhya

Comments EMNLP 2020 Workshop, Oral, 8 pages

Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction

Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn, Lambert Schomaker

Comments This new version of the paper brings the paper up-to-date with the improved paper, published at the First Workshop on Scholarly Document Processing, at EMNLP 2020. .Additionally, minor corrections were made including addition of color to Figures 1,2. The changes in comparison to the first arXiv version are substantial, including various additional results, and substantial improvements to the text

Journal ref Proceedings of the First Workshop on Scholarly Document Processing. Association for Computational Linguistics. (2020) 158-167. EMNLP|SDP 2020 https://www.aclweb.org/anthology/2020.sdp-1.18

Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization

Jiho Noh, Ramakanth Kavuluru

Comments Accepted to EMNLP 2020 Findings as Long Paper (11 page, 4 figures)

Pre-Training Transformers as Energy-Based Cloze Models

Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning

Comments EMNLP 2020

On the Branching Bias of Syntax Extracted from Pre-trained Language Models

Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi

Comments EMNLP 2020 findings

Journal ref EMNLP 2020 Findings

Small but Mighty: New Benchmarks for Split and Rephrase

Li Zhang, Huaiyu Zhu, Siddhartha Brahma, Yunyao Li

Comments In EMNLP 2020

Journal ref Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) 1198-1205

Reasoning about Goals, Steps, and Temporal Ordering with WikiHow

Li Zhang, Qing Lyu, Chris Callison-Burch

Comments In EMNLP 2020

Journal ref Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) 4630-4639

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu

Comments 12 pages, to appear at Findings of EMNLP 2020

Is Graph Structure Necessary for Multi-hop Question Answering?

Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu

Comments 6 pages, to appear at EMNLP 2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?

Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

Comments Accepted by EMNLP 2020

Interpretable Multi-dataset Evaluation for Named Entity Recognition

Jinlan Fu, Pengfei Liu, Graham Neubig

Comments Accepted by EMNLP 2020

TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog

Erik Ekstedt, Gabriel Skantze

Comments Accepted to Findings of ACL: EMNLP 2020

Characterizing the Value of Information in Medical Notes

Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan

Comments 15 pages, 12 figures, Findings of EMNLP 2020, code is available at https://github.com/BoulderDS/value-of-medical-notes

Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT

Dylan Whang, Soroush Vosoughi

Comments Proceedings of the 6th Workshop on Noisy User-generated Text (W-NUT) at EMNLP 2020

Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification

Chris Miller, Soroush Vosoughi

Comments Proceedings of the 6th Workshop on Noisy User-generated Text (W-NUT) at EMNLP 2020

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data

Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi

Comments In proceedings of the 6th Workshop on Noisy User-generated Text (W-NUT) at EMNLP 2020

Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments

Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany, Lyle Ungar

Comments Accepted in EMNLP 2020

Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation

Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, Soroush Vosoughi

Comments In proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Online

Visually Grounded Compound PCFGs

Yanpeng Zhao, Ivan Titov

Comments Accepted to EMNLP 2020. Our code is available at https://github.com/zhaoyanpeng/vpcfg

Multi$^2$OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT

Youngbin Ro, Yukyung Lee, Pilsung Kang

Comments 11 pages, Findings of EMNLP 2020

To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints

Barun Patra, Chala Fufa, Pamela Bhattacharya, Charles Lee

Comments Proceedings of EMNLP 2020

Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !

Wen Xiao, Patrick Huber, Giuseppe Carenini

Comments In the Proceeding of 1st Workshop on Computational Approaches to Discourse (CODI) at EMNLP 2020. 11 pages

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion

Zhen Han, Yunpu Ma, Peng Chen, Volker Tresp

Comments 16 pages, accepted as long paper at EMNLP 2020

Facilitating the Communication of Politeness through Fine-Grained Paraphrasing

Liye Fu, Susan R. Fussell, Cristian Danescu-Niculescu-Mizil

Comments Proceedings of EMNLP 2020, 14 pages. Data and code at https://convokit.cornell.edu/ and https://github.com/CornellNLP/politeness-paraphrase

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

Comments Accepted by EMNLP 2020

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach

Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue

Comments Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1286-1298. November 16 - 20, 2020. 2020 Association for Computational Linguistics

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2020, pages 1286-1298. November 16 - 20, 2020. 2020 Association for Computational Linguistics

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training

Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing

Comments To appear at EMNLP 2020. 14 pages. Code is available at: https://github.com/oceanypt/CFd

NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets

Victor Dibia

Comments Published at Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. (EMNLP 2020), Demo track. 8 pages, 4 figures