NAACL

VCWE: Visual Character-Enhanced Word Embeddings

Chi Sun, Xipeng Qiu, Xuanjing Huang

Comments Accepted to NAACL 2019

Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning

Prithviraj Ammanabrolu, Mark O. Riedl

Comments Proceedings of NAACL-HLT 2019

Improving Machine Reading Comprehension with General Reading Strategies

Kai Sun, Dian Yu, Dong Yu, Claire Cardie

Comments To appear in NAACL-HLT 2019

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

Chi Sun, Luyao Huang, Xipeng Qiu

Comments Accepted to NAACL 2019

Left-to-Right Dependency Parsing with Pointer Networks

Daniel Fernández-González, Carlos Gómez-Rodríguez

Comments Proceedings of NAACL 2019. 7 pages

Practical Semantic Parsing for Spoken Language Understanding

Marco Damonte, Rahul Goel, Tagyoung Chung

Journal ref Proceedings of NAACL 2019

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino

Comments NAACL-HLT 2019 long paper

Polyglot Contextual Representations Improve Crosslingual Transfer

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Comments NAACL 2019

An Effective Label Noise Model for DNN Text Classification

Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby

Comments Accepted at NAACL-HLT 2019 Main Conference Long paper

Improving Lemmatization of Non-Standard Languages with Joint Learning

Enrique Manjavacas, Ákos Kádár, Mike Kestemont

Journal ref NAACL-HLT 2019

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion

Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant

Comments NAACL 2019 (camera ready version)

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant

Comments accepted as a long paper at NAACL 2019

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat

Ravi Shekhar, Aashish Venkatesh, Tim Baumgärtner, Elia Bruni, Barbara Plank, Raffaella Bernardi, Raquel Fernández

Comments Accepted to NAACL 2019

Low-Resource Syntactic Transfer with Unsupervised Source Reordering

Mohammad Sadegh Rasooli, Michael Collins

Comments Accepted in NAACL 2019

Sub-event detection from Twitter streams as a sequence labeling problem

Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder

Comments NAACL 2019

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA

Jesse Thomason, Daniel Gordon, Yonatan Bisk

Comments Published at The Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2019

Neural Machine Translation of Text from Non-Native Speakers

Antonios Anastasopoulos, Alison Lui, Toan Nguyen, David Chiang

Comments accepted at NAACL-HLT 2019

Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State

Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy

Comments Accepted to NAACL 2019. Not yet edited into the camera-ready version

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang

Comments NAACL 2019

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization

Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung

Comments To appear in Proceedings of NAACL 2019. 10 pages

Reinforcement Learning based Curriculum Optimization for Neural Machine Translation

Gaurav Kumar, George Foster, Colin Cherry, Maxim Krikun

Comments NAACL 2019 short paper. Reviewer comments not yet addressed

Adversarial Training for Satire Detection: Controlling for Confounding Variables

Robert McHardy, Heike Adel, Roman Klinger

Comments Accepted for publication at NAACL 2019

Pre-training on high-resource speech recognition improves low-resource speech-to-text translation

Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater

Comments Accepted for publication in NAACL 2019

Recursive Subtree Composition in LSTM-Based Dependency Parsing

Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre

Comments Accepted at NAACL 2019

Relation Extraction using Explicit Context Conditioning

Gaurav Singh, Parminder Bhatia

Comments Accepted for Publication at NAACL 2019

GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation

Taehyeong Kim, Min-Oh Heo, Seonil Son, Kyoung-Wha Park, Byoung-Tak Zhang

Comments 6 pages, 3 figures, paper for Visual Storytelling Challenge in Storytelling Workshop co-located with NAACL 2018, source code and pre-trained models are available at https://github.com/tkim-snu/GLACNet

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

Matteo Pagliardini, Prakhar Gupta, Martin Jaggi

Comments NAACL 2018

Journal ref NAACL 2018 - Conference of the North American Chapter of the Association for Computational Linguistics, pages 528-540

A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

Yu Wang, Yilin Shen, Hongxia Jin

Comments 5 pages, published at 2018 NAACL

Generative Bridging Network in Neural Sequence Prediction

Wenhu Chen, Guanlin Li, Shuo Ren, Shujie Liu, Zhirui Zhang, Mu Li, Ming Zhou

Comments Accepted to NAACL 2018

Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation

Matt Post, David Vilar

Comments 11 pages, 9 figures, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)