NAACL

Learning to Stop in Structured Prediction for Neural Machine Translation

Mingbo Ma, Renjie Zheng, Liang Huang

Comments 5 pages

Journal ref NAACL 2019

DAL: Dual Adversarial Learning for Dialogue Generation

Shaobo Cui, Rongzhong Lian, Di Jiang, Yuanfeng Song, Siqi Bao, Yong Jiang

Comments 10 pages, published on NeuralGen workshop at NAACL 2019

Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity Recognition

Angli Liu, Jingfei Du, Veselin Stoyanov

Comments NAACL 2019; updated to cite Zhou et al. (2018) EMNLP as a piece of related work

Smaller Text Classifiers with Discriminative Cluster Embeddings

Mingda Chen, Kevin Gimpel

Comments Appeared in NAACL 2018 short

Be Consistent! Improving Procedural Text Comprehension using Label Consistency

Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie

Comments NAACL 2019

Publicly Available Clinical BERT Embeddings

Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

Comments Clinical Natural Language Processing (ClinicalNLP) Workshop at NAACL 2019

Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects

Gabriel Grand, Yonatan Belinkov

Comments In Proceedings of the 2nd Workshop on Shortcomings in Vision and Language (SiVL) at NAACL-HLT 2019

Non-Parametric Adaptation for Neural Machine Translation

Ankur Bapna, Orhan Firat

Comments Accepted at NAACL 2019

Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding

Jonggu Kim, Jong-Hyeok Lee

Comments Accepted as a long paper at NAACL 2019

Partial Or Complete, That's The Question

Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth

Comments Long paper accepted by NAACL'19. 11 pages and 7 figures

FAKTA: An Automatic End-to-End Fact Checking System

Moin Nadeem, Wei Fang, Brian Xu, Mitra Mohtarami, James Glass

Comments Accepted to NAACL '19

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin

Comments Published in NAACL 2019; The first two authors contribute equally; Code: https://github.com/haofuml/cyclical_annealing

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu

Comments Accepted by NAACL 2019 (oral)

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Gustavo Aguilar, A. Pastor López-Monroy, Fabio A. González, Thamar Solorio

Comments NAACL 2018

Journal ref Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 1401-1412

Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims

Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth

Comments In Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)

Plain English Summarization of Contracts

Laura Manor, Junyi Jessy Li

Comments The first Workshop on Natural Legal Language Processing (NLLP) will be co-located with NAACL 2019 in Minneapolis, Minnesota, USA

SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression

Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos

Comments Accepted to NAACL 2019

Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents

Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng Gao, Jun Guo, Nianwen Xue

Comments accepted by NAACL 2019

Transferable Neural Projection Representations

Chinnadhurai Sankar, Sujith Ravi, Zornitsa Kozareva

Journal ref Proc. of NAACL 2019

LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization

Tian Shi, Ping Wang, Chandan K. Reddy

Comments Accepted by NAACL-HLT 2019 demo track

Fluent Translations from Disfluent Speech in End-to-End Speech Translation

Elizabeth Salesky, Matthias Sperber, Alex Waibel

Comments Accepted at NAACL 2019

"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines

Nabil Hossain, John Krumm, Michael Gamon

Comments Accepted in NAACL 2019

Detecting Cybersecurity Events from Noisy Short Text

Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli

Comments Accepted February 2019 to North American Chapter of the Association for Computational Linguistics (NAACL) 2019

Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation

Seraphina Goldfarb-Tarrant, Haining Feng, Nanyun Peng

Comments Accepted to NAACL 2019 Demo Track, 5 pages

Probing the Need for Visual Context in Multimodal Machine Translation

Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault

Comments Accepted to NAACL-HLT 2019, reviewer comments addressed, camera-ready

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus

Bai Li, Yi-Te Hsu, Frank Rudzicz

Comments NAACL 2019 (Short paper)

Evaluating Rewards for Question Generation Models

Tom Hosking, Sebastian Riedel

Comments Accepted at NAACL-HLT 2019

Journal ref Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers):2278-2283

Multi-modal Discriminative Model for Vision-and-Language Navigation

Haoshuo Huang, Vihan Jain, Harsh Mehta, Jason Baldridge, Eugene Ie

Comments Accepted at SpLU-RoboNLP 2019 (workshop at NAACL)

An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models

Alexandra Chronopoulou, Christos Baziotis, Alexandros Potamianos

Comments NAACL 2019

Geolocating Political Events in Text

Andrew Halterman

Comments NAACL 2019, NLP+CSS Workshop