ACL

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy

Comments Accepted by ACL 2023

Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation

Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling

Comments Accepted at ACL 2023

Measuring and Mitigating Local Instability in Deep Neural Networks

Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan

Comments To be published in Findings of the Association for Computational Linguistics (ACL), 2023

Easy-to-Hard Learning for Information Extraction

Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing

Comments Findings of ACL 2023

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance

Arjun Subramonian, Xingdi Yuan, Hal Daumé, Su Lin Blodgett

Journal ref Findings of the Association for Computational Linguistics: ACL 2023

Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions

Christian Fang, Qixiang Fang, Dong Nguyen

Comments Accepted to appear at the SemEval-2023 workshop, co-located with ACL 2023

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation

Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James Glass, Yulia Tsvetkov

Comments ACL 2023

Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI

Alex Mei, Sharon Levy, William Yang Wang

Comments In Findings of the 2023 Conference of the Association for Computational Linguistics

Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation

Nuno M. Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins

Comments Accepted at ACL 2023

Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL

Bing Wang, Yan Gao, Zhoujun Li, Jian-Guang Lou

Comments ACL 2023 Findings

Causes and Cures for Interference in Multilingual Translation

Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale

Comments ACL 2023

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu

Comments Accepted at ACL 2023 (Findings)

NLPeer: A Unified Resource for the Computational Study of Peer Review

Nils Dycke, Ilia Kuznetsov, Iryna Gurevych

Comments Accepted at the ACL 2023 main conference

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors

Kai Zhang, Bernal Jiménez Gutiérrez, Yu Su

Comments ACL 2023 Findings; The code is available at https://github.com/OSU-NLP-Group/QA4RE

Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus

Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell

Comments 9 pages. arXiv admin note: substantial text overlap with arXiv:2210.14667

Journal ref ACL 2023

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

Chantal Amrhein, Florian Schottmann, Rico Sennrich, Samuel Läubli

Comments accepted to ACL 2023

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval

Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng

Comments Accepted by ACL 2023 Main

Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement

Samuel Mensah, Kai Sun, Nikolaos Aletras

Comments Accepted at ACL 2023

Silver Syntax Pre-training for Cross-Domain Relation Extraction

Elisa Bassignana, Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank

Comments Accepted in Findings of the Association for Computational Linguistics: ACL 2023

How does the task complexity of masked pretraining objectives affect downstream performance?

Atsuki Yamaguchi, Hiroaki Ozaki, Terufumi Morishita, Gaku Morio, Yasuhiro Sogawa

Comments Accepted at ACL 2023 Findings

Multilingual Event Extraction from Historical Newspaper Adverts

Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein

Comments Accepted to the main track of ACL2023

Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation

Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun

Comments Accepted by ACL 2023 Findings

TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model

Patrick Kahardipraja, Brielen Madureira, David Schlangen

Comments Accepted at ACL 2023 (Findings)

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt

Xiaocui Yang, Shi Feng, Daling Wang, Sun Qi, Wenfang Wu, Yifei Zhang, Pengfei Hong, Soujanya Poria

Comments 13 pages, 7 figures, 6 tables, ACL 2023 Long Paper (Findings)

Learning to Generalize for Cross-domain QA

Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang

Comments Accepted to ACL 2023 Findings

Gradient-based Intra-attention Pruning on Pre-trained Language Models

Ziqing Yang, Yiming Cui, Xin Yao, Shijin Wang

Comments Accepted to ACL 2023

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks

Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing

Comments To appear at ACL 2023 main conference

Ranking-Enhanced Unsupervised Sentence Representation Learning

Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh

Comments ACL 2023

CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-training

Zhenhui Ye, Rongjie Huang, Yi Ren, Ziyue Jiang, Jinglin Liu, Jinzheng He, Xiang Yin, Zhou Zhao

Comments Accepted by ACL 2023 (Main Conference)

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing

Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu

Comments The paper has been accepted by ACL 2023 Findings. Dataset and code are available in this https URL