NAACL

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal

Comments Accepted to NAACL 2021

Probing Contextual Language Models for Common Ground with Visual Representations

Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi

Comments Proceedings of the 2021 North American Chapter of the Association for Computational Linguistics (NAACL 2021)

TuringAdvice: A Generative and Dynamic Evaluation of Language Use

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

Comments NAACL 2021 camera ready. Project page at https://rowanzellers.com/advice

Evaluating Saliency Methods for Neural Language Models

Shuoyang Ding, Philipp Koehn

Comments 19 pages, 2 figures, Accepted for NAACL 2021

Learning from Executions for Semantic Parsing

Bailin Wang, Mirella Lapata, Ivan Titov

Comments NAACL 2021 Camera Ready

Paragraph-level Simplification of Medical Texts

Ashwin Devaraj, Iain J. Marshall, Byron C. Wallace, Junyi Jessy Li

Comments NAACL 2021

Few-shot Intent Classification and Slot Filling with Retrieved Examples

Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li

Comments To appear at NAACL 2021

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P. Langlotz, Dan Jurafsky

Comments Accepted to NAACL-HLT 2021

Case Study: Deontological Ethics in NLP

Shrimai Prabhumoye, Brendon Boldt, Ruslan Salakhutdinov, Alan W Black

Comments Accepted at North American Chapter of the Association for Computational Linguistics (NAACL) 2021

On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies

Tianyi Zhang, Tatsunori Hashimoto

Comments NAACL-HLT 2021

Backtranslation Feedback Improves User Confidence in MT, Not Quality

Vilém Zouhar, Michal Novák, Matúš Žilinec, Ondřej Bojar, Mateo Obregón, Robin L. Hill, Frédéric Blain, Marina Fomicheva, Lucia Specia, Lisa Yankovskaya

Comments 9 pages (excluding references); to appear at NAACL-HWT 2021

Semantic Frame Forecast

Chieh-Yang Huang, Ting-Hao 'Kenneth' Huang

Comments 9 pages, NAACL 2021

DATE: Detecting Anomalies in Text via Self-Supervision of Transformers

Andrei Manolache, Florin Brad, Elena Burceanu

Comments conference paper at NAACL-HLT 2021, 11 pages, 6 figures, 3 tables

Self-Training with Weak Supervision

Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah

Comments Accepted to NAACL 2021 (Long Paper)

Multilingual Language Models Predict Human Reading Behavior

Nora Hollenstein, Federico Pirovano, Ce Zhang, Lena Jäger, Lisa Beinborn

Comments accepted at NAACL 2021

Stay Together: A System for Single and Split-antecedent Anaphora Resolution

Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Massimo Poesio

Comments accepted at NAACL 2021

Better Feature Integration for Named Entity Recognition

Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing

Comments Accepted by NAACL 2021. 13 pages, 9 Figure, 10 Tables

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation

Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh

Comments NAACL 2021

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization

Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu

Comments Accepted by NAACL-HLT 2021

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency

Comments NAACL 2021, code available at https://github.com/lvyiwei1/StylePTB/

Assessing Reference-Free Peer Evaluation for Machine Translation

Sweta Agrawal, George Foster, Markus Freitag, Colin Cherry

Comments NAACL 2021

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models

James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang

Comments NAACL 2021

Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling

Aaron Mueller, Mark Dredze

Comments Accepted to NAACL 2021

The structure of online social networks modulates the rate of lexical change

Jian Zhu, David Jurgens

Comments NAACL 2021

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu

Comments Accepted by NAACL 2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu

Comments Accepted by NAACL 2021

Edge: Enriching Knowledge Graph Embeddings with External Text

Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li

Comments Accepted in NAACL'21

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng

Comments 9 pages

Journal ref NAACL 2021

Fool Me Twice: Entailment from Wikipedia Gamification

Julian Martin Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan Boyd-Graber

Comments Published in NAACL 2021

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Chih-Yao Chen, Cheng-Te Li

Comments Accepted to NAACL 2021. Code is available at https://github.com/dinobby/ZS-BERT