NAACL

Disentangling Language and Knowledge in Task-Oriented Dialogs

Dinesh Raghu, Nikhil Gupta, Mausam

Comments Published in NAACL-HLT 2019

Recommendations for Datasets for Source Code Summarization

Alexander LeClair, Collin McMillan

Comments Accepted to NAACL 2019

ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems

Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili, Massimo Piccardi

Comments Accepted at NAACL-HLT 2019

White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks

Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant

Comments Accepted to NAACL-HLT 2019 as conference paper

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation

Jiawei Wu, Xin Wang, William Yang Wang

Comments 11 pages, 3 figures. Accepted to NAACL 2019

Guiding Extractive Summarization with Question-Answering Rewards

Kristjan Arumae, Fei Liu

Comments NAACL 2019

Evaluating Style Transfer for Text

Remi Mir, Bjarke Felbo, Nick Obradovich, Iyad Rahwan

Comments To appear in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics

Answer-based Adversarial Training for Generating Clarification Questions

Sudha Rao, Hal Daumé

Comments Accepted at NAACL 2019

Multi-task Learning for Japanese Predicate Argument Structure Analysis

Hikaru Omori, Mamoru Komachi

Comments 10 pages; NAACL 2019

Revisiting Visual Grounding

Erik Conser, Kennedy Hahn, Chandler M. Watson, Melanie Mitchell

Comments To appear in Proceedings of the Workshop on Shortcomings in Vision and Language, NAACL-2019, ACL

Massively Multilingual Adversarial Speech Recognition

Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky

Comments Accepted at NAACL-HLT 2019

Probing Biomedical Embeddings from Language Models

Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu

Comments NAACL-HLT 2019 Workshop on Evaluating Vector Space Representations for NLP (RepEval)

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Gentzkow, Jesse Shapiro, Dan Jurafsky

Comments NAACL 2019; code and data available at https://github.com/ddemszky/framing-twitter

Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering

Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi

Comments Accepted for publication in NAACL 2019

Syntax-aware Neural Semantic Role Labeling with Supertags

Jungo Kasai, Dan Friedman, Robert Frank, Dragomir Radev, Owen Rambow

Comments NAACL 2019, Added Spanish ELMo results

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Wang

Comments Accepted to NAACL 2019, 11 pages, 7 figures, 3 tables

Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering

Fréderic Godin, Anjishnu Kumar, Arpit Mittal

Comments Accepted at NAACL 2019. Version 1 was presented at NIPS 2018 workshop on Relational Representation Learning

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson

Comments NAACL 2019

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation

Xing Niu, Weijia Xu, Marine Carpuat

Comments Accepted at NAACL 2019

Subword-Level Language Identification for Intra-Word Code-Switching

Manuel Mager, Özlem Çetinoğlu, Katharina Kann

Comments NAACL-HLT 2019

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang

Comments To appear in NAACL 2019, 10 pages

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce

Jian-Guo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu

Comments Accepted by NAACL-HLT 2019. arXiv admin note: substantial text overlap with arXiv:1811.04498

Identification, Interpretability, and Bayesian Word Embeddings

Adam M. Lauretig

Comments Accepted to the Third Workshop on Natural Language Processing and Computational Social Science at NAACL-HLT 2019

Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives

Liye Fu, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil

Comments To appear in the Proceedings of NAACL 2019, 14 pages. Data, code and additional information at https://github.com/CornellNLP/ASQ

Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction

Karl Stratos

Comments NAACL 2019

Factorising AMR generation through syntax

Kris Cao, Stephen Clark

Comments Camera ready; accepted at NAACL-HLT 2019

Neural Vector Conceptualization for Word Vector Space Interpretation

Robert Schwarzenberg, Lisa Raithel, David Harbecke

Comments NAACL-HLT 2019 Workshop on Evaluating Vector Space Representations for NLP (RepEval)

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering

Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku

Comments To appear in NAACL-HLT 2019

The emergence of number and syntax units in LSTM language models

Yair Lakretz, German Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni

Comments To appear in Proceedings of NAACL, Minneapolis, MN, 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations

Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel

Comments NAACL 2019 Long paper

Journal ref NAACL 2019