EMNLP

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren

Comments Accepted to EMNLP 2020 Findings. Add one more human reference for each test example: Table 1,3 & Figure 4 & Section 3.3, 3.4 are updated. Project page: https://inklab.usc.edu/CommonGen/

SLURP: A Spoken Language Understanding Resource Package

Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, Verena Rieser

Comments Published at the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-2020)

Do Language Embeddings Capture Scales?

Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth

Comments Accepted at EMNLP Findings 2020 and EMNLP BlackboxNLP workshop 2020; 8 pages, 2 figures; Minor changes to the acknowledgment section

Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models

Pierangelo Lombardo, Alessio Boiardi, Luca Colombo, Angelo Schiavone, Nicolò Tamagnone

Comments This is a pre-print of an article published in the proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Journal ref Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 3081-3093)

Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles

Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Milica Gašić

Comments 7 pages, 9 figures, to be published in Findings of EMNLP 2020, code available at: https://gitlab.cs.uni-duesseldorf.de/general/dsml/calibrating-dialogue-belief-state-distributions

Journal ref Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, Pages 3096-3102; Association for Computational Linguistics

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

Diego Marcheggiani, Ivan Titov

Comments Published in proceedings of EMNLP 2020

What do we expect from Multiple-choice QA Systems?

Krunal Shah, Nitish Gupta, Dan Roth

Comments Findings of EMNLP 2020

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2020 pg. 3547-3553

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation

Atticus Geiger, Kyle Richardson, Christopher Potts

Comments In Proceedings of BlackBoxNLP 2020 at EMNLP 2020

Compositional Demographic Word Embeddings

Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea

Comments To appear at EMNLP 2020

Relation Extraction with Contextualized Relation Embedding (CRE)

Xiaoyu Chen, Rohan Badlani

Comments EMNLP 2020 Workshop: Deep Learning Inside Out (DeeLIO)

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

Song Feng, Hui Wan, Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis A. Lastras

Comments EMNLP 2020

WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab Protocols

Jeniya Tabassum, Sydney Lee, Wei Xu, Alan Ritter

Comments to appear in EMNLP 2020 (WNUT)

Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers

Hanjie Chen, Yangfeng Ji

Comments EMNLP 2020

Towards Persona-Based Empathetic Conversational Models

Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, Chunyan Miao

Comments Accepted to EMNLP 2020 (A new dataset is proposed: https://github.com/zhongpeixiang/PEC)

A Bilingual Generative Transformer for Semantic Sentence Embedding

John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick

Comments Published as a long paper at EMNLP 2020

Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

Yuanhe Tian, Yan Song, Fei Xia

Comments Natural Language Processing. 8 pages, 4 figures. EMNLP-2020

SRLGRN: Semantic Role Labeling Graph Reasoning Network

Chen Zheng, Parisa Kordjamshidi

Comments Accepted by EMNLP 2020

Visuo-Linguistic Question Answering (VLQA) Challenge

Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral

Comments Findings of EMNLP 2020 (22 pages, 13 figures)

Sequence-Level Mixed Sample Data Augmentation

Demi Guo, Yoon Kim, Alexander M. Rush

Comments EMNLP 2020

Structural and Functional Decomposition for Personality Image Captioning in a Communication Game

Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen

Comments 10 pages, EMNLP-Findings 2020

Journal ref EMNLP-Findings 2020

Flexible retrieval with NMSLIB and FlexNeuART

Leonid Boytsov, Eric Nyberg

Journal ref 2nd EMNLP Workshop for Natural Language Processing Open Source Software (NLP-OSS), 2020

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks

Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel

Comments Post EMNLP 2020 camera ready updates

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning

Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding

Comments Accepted to Findings of EMNLP 2020

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

Comments Accepted at EMNLP'20

Visually Grounded Continual Learning of Compositional Phrases

Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren

Comments EMNLP 2020; Fixed typos

Natural language processing for achieving sustainable development: the case of neural labelling to enhance community profiling

Costanza Conforti, Stephanie Hirmer, David Morgan, Marco Basaldella, Yau Ben Or

Comments 18 pages, 9 figures. Accepted at EMNLP 2020

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension

Adyasha Maharana, Mohit Bansal

Comments Findings of EMNLP, 2020 (16 pages)

Blank Language Models

Tianxiao Shen, Victor Quach, Regina Barzilay, Tommi Jaakkola

Comments EMNLP 2020 camera-ready

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing

Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze

Comments Accepted as long paper to EMNLP 2020

Learning from Task Descriptions

Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters

Comments EMNLP 2020