ACL

Revisiting Over-Smoothness in Text to Speech

Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu

Comments Accepted by ACL 2022

Precise n-gram Probabilities from Stochastic Context-free Grammars

Andreas Stolcke, Jonathan Segal

Comments 12 pages, to appear in ACL-94

Journal ref Proc. ACL, pp. 74-79, June 1994

On the data requirements of probing

Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz

Comments Findings of ACL 2022

Virtual Augmentation Supported Contrastive Learning of Sentence Representations

Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold

Comments 8 pages, 3 figures, 3 tables

Journal ref Findings of ACL 2022

Situated Dialogue Learning through Procedural Environment Generation

Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl

Comments Camera ready. In proceedings of ACL 2022

Rethinking Negative Sampling for Handling Missing Entity Annotations

Yangming Li, Lemao Liu, Shuming Shi

Comments A long paper accepted by ACL-2022

Toward More Meaningful Resources for Lower-resourced Languages

Constantine Lignos, Nolan Holley, Chester Palen-Michel, Jonne Sälevä

Comments Submitted to the ACL 2022 theme track "Language Diversity: from Low-Resource to Endangered Languages" and accepted to Findings of the ACL for ACL 2022

Neural reality of argument structure constructions

Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu

Comments ACL 2022 (Long Paper)

Overcoming a Theoretical Limitation of Self-Attention

David Chiang, Peter Cholak

Comments Accepted at ACL 2022

LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting

Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash

Comments 10 pages, 4 figures, SemEval-2021 Workshop, ACL-IJCNLP 2021

Journal ref Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 2021, Online

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Ortiz Suarez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi

Comments Accepted at TACL; pre-MIT Press publication version

Journal ref Transactions of the Association for Computational Linguistics (2022) 10: 50-72

An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results

Enrique Amigó, Julio Gonzalo, Stefano Mizzaro, Jorge Carrillo-de-Albornoz

Comments To appear in Proceedings of ACL 2020

Journal ref Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

How Effective is Incongruity? Implications for Code-mix Sarcasm Detection

Aditya Shah, Chandresh Kumar Maurya

Comments Published in ICON - ACL 2021

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World

Rowan Zellers, Ari Holtzman, Matthew Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi

Comments ACL 2021 camera ready, project page at https://rowanzellers.com/piglet/

How Reliable are Model Diagnostics?

Vamsi Aribandi, Yi Tay, Donald Metzler

Comments ACL 2021 Findings

Are Pre-trained Convolutions Better than Pre-trained Transformers?

Yi Tay, Mostafa Dehghani, Jai Gupta, Dara Bahri, Vamsi Aribandi, Zhen Qin, Donald Metzler

Comments ACL'21 + updated code/ckpt pointers

A Neighbourhood Framework for Resource-Lean Content Flagging

Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov

Comments Accepted to appear in Transactions of the Association for Computational Linguistics (TACL) -- this is a pre-MIT Press publication version

Ruddit: Norms of Offensiveness for English Reddit Comments

Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad, Ekaterina Shutova

Comments Camera-ready version in ACL 2021

ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection

Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy

Comments This manuscript will be available in ACL Anthology section EMNLP2021-Findings papers

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2021

Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning

Boris Zhestiankin, Maria Ponomareva

Comments Accepted to SemEval-2021 at ACL-IJCNLP

Journal ref Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pp. 163-168, 2021

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

Comments Accepted by the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020)

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin

Comments Accepted to Findings of ACL 2021

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning

Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Yuexian Zou, Xu Sun

Comments Accepted by Findings of ACL 2021 (The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing)

SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis

Joshua Feinglass, Yezhou Yang

Comments Accepted to and presented at ACL 2021 Main Conference (Oral)

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou

Comments ACL 2021 main conference

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding

Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin

Journal ref Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies,pages 2669--2678

Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora

Hila Gonen, Ganesh Jawahar, Djamé Seddah, Yoav Goldberg

Comments Published in ACL 2020

Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring

Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre

Comments ACL 2021

A Call for More Rigor in Unsupervised Cross-lingual Learning

Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre

Comments ACL 2020

On the Cross-lingual Transferability of Monolingual Representations

Mikel Artetxe, Sebastian Ruder, Dani Yogatama

Comments ACL 2020