ACL

Learning Robust Latent Representations for Controllable Speech Synthesis

Shakti Kumar, Jithin Pradeep, Hussain Zaidi

Comments Accepted in ACL2021 Findings

Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation

Zihan Liu, Genta Indra Winata, Pascale Fung

Comments Accepted in Findings of ACL 2021

Rewriter-Evaluator Architecture for Neural Machine Translation

Yangming Li, Kaisheng Yao

Comments A full paper accepted at ACL-2021

Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates

Yuqing Xie, Yi-an Lai, Yuanjun Xiong, Yi Zhang, Stefano Soatto

Comments 13 pages, 3 figures, Accepted at ACL 2021 main conference

Graph-based Multilingual Product Retrieval in E-commerce Search

Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin

Comments Accepted by 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)

Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification

George Chrysostomou, Nikolaos Aletras

Comments NLP Interpretability ; Accepted at ACL2021

Gender Bias in Machine Translation

Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, Marco Turchi

Comments Accepted for publication in Transaction of the Association for Computational Linguistics (TACL), 2021

A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks

Thai Le, Noseong Park, Dongwon Lee

Comments Accepted to the 59th Annual Meeting of the Association for Computational Linguistics (ACL) 2021

Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning

Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Jaegul Choo

Comments to be published in ACL2021

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

Samson Tan, Shafiq Joty, Min-Yen Kan, Richard Socher

Comments To appear in the Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification

Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

Comments Accepted by Findings of ACL 2021

A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations

Pierre Colombo, Chloe Clavel, Pablo Piantanida

Journal ref ACL 2021

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections

Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig

Comments ACL 2019 long paper

MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories

Minjin Choi, Sunkyung Lee, Eunseong Choi, Heesoo Park, Junhyuk Lee, Dongwon Lee, Jongwuk Lee

Comments In Proceedings of 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics. 11 pages

UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter

Hamed Babaei Giglou, Taher Rahgooy, Mostafa Rahgouy, Jafar Razmara

Comments Accepted at SemEval-2021 Task 5: Toxic Spans Detection, ACL-IJCNLP 2021

On the Embeddings of Variables in Recurrent Neural Networks for Source Code

Nadezhda Chirkova

Comments Published at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)

A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

Nadezhda Chirkova, Sergey Troshin

Comments Published at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021)

Focused Attention Improves Document-Grounded Generation

Shrimai Prabhumoye, Kazuma Hashimoto, Yingbo Zhou, Alan W Black, Ruslan Salakhutdinov

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

Multilingual and cross-lingual document classification: A meta-learning approach

Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova

Comments 11 pages, 1 figure

Journal ref Association for Computational Linguistics, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021, 1966--1976

Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming

Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz

Comments Accepted for publication in Findings of ACL: EMNLP 2020

Domain Divergences: a Survey and Empirical Analysis

Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann

Comments Accepted for publication in 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song

Comments Accepted by ACL 2019 Long Paper

The Preposition Project

Ken Litkowski, Orin Hargraves

Comments Proceedings of the Second ACL-SIGSEM Workshop on The Linguistic Dimensions of Prepositions and their Use in Computational Linguistics Formalisms and Applications, April 19-21, 2005, Colchester, England: University of Essex

SongNet: Rigid Formats Controlled Text Generation

Piji Li, Haisong Zhang, Xiaojiang Liu, Shuming Shi

Comments ACL2020, 10 pages, code: https://github.com/lipiji/SongNet

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning

Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah

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

UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches

Phu Gia Hoang, Luan Thanh Nguyen, Kiet Van Nguyen

Comments Accepted at SemEval-2021 Task 5: Toxic Spans Detection, ACL-IJCNLP 2021

UDALM: Unsupervised Domain Adaptation through Language Modeling

Constantinos Karouzos, Georgios Paraskevopoulos, Alexandros Potamianos

Comments Accepted for publication in 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense

Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel, Mihai Dascalu

Comments 7 pages, 2 figures, Accepted at SemEval-2021 Workshop, ACL-IJCNLP 2021

Event Representation with Sequential, Semi-Supervised Discrete Variables

Mehdi Rezaee, Francis Ferraro

Comments In Proceedings of the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (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)