NAACL

Using Natural Language Relations between Answer Choices for Machine Comprehension

Rajkumar Pujari, Dan Goldwasser

Comments Published at NAACL-HLT 2019. This version has link to code repository. 6 pages, 3 figures & 2 tables

Journal ref Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Medical Entity Linking using Triplet Network

Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu

Comments ClinicalNLP@NAACL 2019

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors

Ipek Baris, Lukas Schmelzeisen, Steffen Staab

Comments 5 pages, 2 figures, 3 tables. Accepted for publication at SemEval@NAACL-HLT 2019

Journal ref SemEval@NAACL-HLT (2019) 1105-1109

Personalized Neural Embeddings for Collaborative Filtering with Text

Guangneng Hu

Comments NAACL 2019 short papers, oral presentation

Journal ref NAACL 2019

Simple dynamic word embeddings for mapping perceptions in the public sphere

Nabeel Gillani, Roger Levy

Comments This is a modified version of a paper that originally appeared in the 2019 NAACL workshop on NLP+CSS. Since its initial publication, we discovered implementation errors that invalidate the results presented in the original version of the paper. These errors are corrected in this version. A corrigendum at the end of this paper summarizes the original errors and how we corrected them

Journal ref NAACL 2019 Workshop on Natural Language Processing and Computational Social Science

Multi-level Memory for Task Oriented Dialogs

Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi

Comments Accepted as full paper at NAACL 2019

Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets

Mona Jalal, Kate K. Mays, Lei Guo, Margrit Betke

Comments 4 pages, 1 figure, Accepted at WiNLP Workshop at NAACL 2018

Duluth at SemEval-2019 Task 6: Lexical Approaches to Identify and Categorize Offensive Tweets

Ted Pedersen

Comments 7 pages, Appears in the Proceedings of the 13th International Workshop on Semantic Eva luation (SemEval 2019), June 2019, pp. 593-599, Minneapolis, MN (a NAACL-2019 workshop, aka OffenseEval--2019)

CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition

Yuying Zhu, Guoxin Wang, Börje F. Karlsson

Comments This paper is accepted by NAACL-HLT 2019. The code is available at https://github.com/microsoft/vert-papers/tree/master/papers/CAN-NER

A Crowdsourced Frame Disambiguation Corpus with Ambiguity

Anca Dumitrache, Lora Aroyo, Chris Welty

Comments Accepted to NAACL-HLT2019

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems

Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych

Comments Accepted as long paper at NAACL-2019; fixed one ungrammatical sentence

Factors Influencing the Surprising Instability of Word Embeddings

Laura Wendlandt, Jonathan K. Kummerfeld, Rada Mihalcea

Comments NAACL HLT 2018

Journal ref NAACL-HLT (2018) 2092-2102

Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles

Christopher Mitcheltree, Skyler Wharton, Avneesh Saluja

Comments Equal contribution from first two authors. Accepted for publication in the NAACL 2018 Industry Track

Text Classification with Few Examples using Controlled Generalization

Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth

Journal ref Proceedings of NAACL-HLT 2019

Generating Text through Adversarial Training using Skip-Thought Vectors

Afroz Ahamad

Comments NAACL 2019: https://www.aclweb.org/anthology/N19-3008

Journal ref "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Student Research Workshop, Jun 2019, Pages 53-60"

Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

Max Grusky, Mor Naaman, Yoav Artzi

Comments Proceedings of NAACL-HLT 2018 (Long Paper)

Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input

Youmna Farag, Helen Yannakoudakis, Ted Briscoe

Comments 9, NAACL 2018

Journal ref The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2018)

Understanding Learning Dynamics Of Language Models with SVCCA

Naomi Saphra, Adam Lopez

Comments Accepted for publication in NAACL 2019

A Silver Standard Corpus of Human Phenotype-Gene Relations

Diana Sousa, Andre Lamurias, Francisco M. Couto

Comments NAACL 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). 2019. pp. 1487-1492

Evaluating Coherence in Dialogue Systems using Entailment

Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar Zaiane

Comments 5 pages, 2 figures; NAACL-HLT 2019

Strong and Simple Baselines for Multimodal Utterance Embeddings

Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency

Comments NAACL 2019 oral presentation

Are All Languages Equally Hard to Language-Model?

Ryan Cotterell, Sabrina J. Mielke, Jason Eisner, Brian Roark

Comments Published at NAACL 2018

Unsupervised Disambiguation of Syncretism in Inflected Lexicons

Ryan Cotterell, Christo Kirov, Sabrina J. Mielke, Jason Eisner

Comments Published at NAACL 2018

Simple Question Answering with Subgraph Ranking and Joint-Scoring

Wenbo Zhao, Tagyoung Chung, Anuj Goyal, Angeliki Metallinou

Comments Accepted by The 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2019). 11 pages, 1 figure

Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging

Apostolos Kemos, Heike Adel, Hinrich Schütze

Comments NAACL 2019

Bootstrapping Generators from Noisy Data

Laura Perez-Beltrachini, Mirella Lapata

Comments NAACL 2018

Structured Minimally Supervised Learning for Neural Relation Extraction

Fan Bai, Alan Ritter

Comments Accepted to NAACL 2019. This version improves the model description(present original "Bag-Size Adaptive Learning Rate" as "Bag-Size Weighting Function"). No result/conclusion change

Understanding language-elicited EEG data by predicting it from a fine-tuned language model

Dan Schwartz, Tom Mitchell

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

A Research Platform for Multi-Robot Dialogue with Humans

Matthew Marge, Stephen Nogar, Cory J. Hayes, Stephanie M. Lukin, Jesse Bloecker, Eric Holder, Clare Voss

Comments Accepted for publication at NAACL 2019; also presented at AI-HRI 2019 (arXiv:1909.04812)

A Large-Scale Comparison of Historical Text Normalization Systems

Marcel Bollmann

Comments Accepted at NAACL 2019