NAACL

Dialogue Act Classification with Context-Aware Self-Attention

Vipul Raheja, Joel Tetreault

Comments NAACL-HLT 2019. 7 pages, 3 figures

Relation Discovery with Out-of-Relation Knowledge Base as Supervision

Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song

Comments Aceepted by NAACL-HLT 2019

Learning to Denoise Distantly-Labeled Data for Entity Typing

Yasumasa Onoe, Greg Durrett

Comments NAACL 2019

Contextualization of Morphological Inflection

Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner

Comments NAACL 2019

A Systematic Study of Leveraging Subword Information for Learning Word Representations

Yi Zhu, Ivan Vulić, Anna Korhonen

Comments NAACL 2019

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation

Weijia Xu, Xing Niu, Marine Carpuat

Comments Accepted at NAACL 2019

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Hu Xu, Bing Liu, Lei Shu, Philip S. Yu

Comments accepted by NAACL 2019

Audio De-identification: A New Entity Recognition Task

Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias

Comments Accepted to NAACL 2019 Industry Track

Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation

Radu Tudor Ionescu, Andrei M. Butnaru

Comments Accepted at NAACL 2019

Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding

Jihwan Lee, Ruhi Sarikaya, Young-Bum Kim

Comments NAACL-HLT 2019

Continuous Learning for Large-scale Personalized Domain Classification

Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim

Comments NAACL-HLT 2019

Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media

Shi Zong, Alan Ritter, Graham Mueller, Evan Wright

Comments Accepted at NAACL 2019

Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

Pouya Pezeshkpour, Yifan Tian, Sameer Singh

Comments Published at NAACL 2019

Context-Dependent Semantic Parsing over Temporally Structured Data

Charles Chen, Razvan Bunescu

Comments Accepted by NAACL 2019 (Oral presentation)

Journal ref Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2019)

Content Differences in Syntactic and Semantic Representations

Daniel Hershcovich, Omri Abend, Ari Rappoport

Comments NAACL-HLT 2019 camera ready

Understanding Dataset Design Choices for Multi-hop Reasoning

Jifan Chen, Greg Durrett

Comments NAACL 2019

UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations

Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma

Comments v1 is the full version which is accepted by CVPR 2019. v2 is the short version accepted by NAACL 2019 SpLU-RoboNLP workshop (in non-archival proceedings)

Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets

Nelson F. Liu, Roy Schwartz, Noah A. Smith

Comments 9 pages, 4 figures; to appear at NAACL 2019

WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations

Mohammad Taher Pilehvar, Jose Camacho-Collados

Comments NAACL 2019

Neural Text Generation from Rich Semantic Representations

Valerie Hajdik, Jan Buys, Michael W. Goodman, Emily M. Bender

Comments NAACL 2019

Linguistic Knowledge and Transferability of Contextual Representations

Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith

Comments 22 pages, 4 figures; to appear at NAACL 2019

Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions

Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov

Comments Accepted at NAACL-HLT 2019

A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data

Jiyu Chen, Karin Verspoor, Zenan Zhai

Comments To appear in Proceedings of the Student Research Workshop at the North American Association for Computational Linguistics (NAACL) meeting 2019

Journal ref In Proceedings of the Student Research Workshop at North American Association for Computational Linguistics (NAACL) 2019

Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings

Sarik Ghazarian, Johnny Tian-Zheng Wei, Aram Galstyan, Nanyun Peng

Comments 8 pages, 2 figures, NAACL 2019 Methods for Optimizing and Evaluating Neural Language Generation (NeuralGen workshop)

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation

Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid

Journal ref 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling

Prince Zizhuang Wang, William Yang Wang

Comments NAACL 2019 (oral)

Lost in Machine Translation: A Method to Reduce Meaning Loss

Reuben Cohn-Gordon, Noah Goodman

Comments NAACL short paper

Fact Discovery from Knowledge Base via Facet Decomposition

Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam

Comments NAACL 2019

Repurposing Entailment for Multi-Hop Question Answering Tasks

Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian

Comments Accepted at NAACL'19

Continual Learning for Sentence Representations Using Conceptors

Tianlin Liu, Lyle Ungar, João Sedoc

Comments Accepted by NAACL-2019