ACL

AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation

Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sebastien Bubeck, Jianfeng Gao

Comments ACL 2023 Findings

Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework

Lifan Yuan, Yichi Zhang, Yangyi Chen, Wei Wei

Comments Accepted to Findings of ACL 2023. Codes are available at: https://github.com/Phantivia/T-PGD

Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions

Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu, Paul Pu Liang, Louis-Philippe Morency

Comments Accepted to ACL 2023 Main Conference

Contrastive Bootstrapping for Label Refinement

Shudi Hou, Yu Xia, Muhao Chen, Sujian Li

Comments ACL 2023

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts

Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee

Comments To appear in Findings of ACL 2023

Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency

Shigeki Karita, Richard Sproat, Haruko Ishikawa

Comments ACL Workshop on Computation and Written Language (CAWL) 2023

Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity

Nannan Huang, Lin Tian, Haytham Fayek, Xiuzhen Zhang

Comments 9 pages, 3 figures, accepted at WASSA, ACL 2023

Echoes from Alexandria: A Large Resource for Multilingual Book Summarization

Alessandro Scirè, Simone Conia, Simone Ciciliano, Roberto Navigli

Comments 9 pages, long paper at ACL 2023

Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park

Comments Findings of ACL 2023

MobileNMT: Enabling Translation in 15MB and 30ms

Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu

Comments accepted by ACL2023 Industry Track

A New Dataset and Empirical Study for Sentence Simplification in Chinese

Shiping Yang, Renliang Sun, Xiaojun Wan

Comments Accepted by ACL2023 main conference

When to Read Documents or QA History: On Unified and Selective Open-domain QA

Kyungjae Lee, Sang-eun Han, Seung-won Hwang, Moontae Lee

Comments Findings of ACL 2023 camera ready

From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation

Zhibin Chen, Yansong Feng, Dongyan Zhao

Comments 9 pages, 3 figures, accepted to ACL 2023

Unbalanced Optimal Transport for Unbalanced Word Alignment

Yuki Arase, Han Bao, Sho Yokoi

Comments Accepted for the Annual Meeting of the Association for Computational Linguistics (ACL 2023)

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations

Yusen Zhang, Jun Wang, Zhiguo Wang, Rui Zhang

Comments ACL 2023

An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models

Zhongbin Xie, Thomas Lukasiewicz

Comments accepted to ACL 2023

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks

Kanishka Misra, Cicero Nogueira dos Santos, Siamak Shakeri

Comments Findings of ACL 2023

Causal interventions expose implicit situation models for commonsense language understanding

Takateru Yamakoshi, James L. McClelland, Adele E. Goldberg, Robert D. Hawkins

Comments Findings of ACL

TwistList: Resources and Baselines for Tongue Twister Generation

Tyler Loakman, Chen Tang, Chenghua Lin

Journal ref ACL 2023

bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark

Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev

Comments Accepted to ACL 2023 (Main Conference)

Journal ref ACL 2023

Learning Multi-Step Reasoning by Solving Arithmetic Tasks

Tianduo Wang, Wei Lu

Comments ACL 2023. Code and data are available at https://github.com/TianduoWang/MsAT

Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity

Katharina Hämmerl, Alina Fastowski, Jindřich Libovický, Alexander Fraser

Comments To appear in ACL Findings 2023. Fixed a citation in this version

People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts

Vít Novotný, Kristýna Luger, Michal Štefánik, Tereza Vrabcová, Aleš Horák

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

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions

Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig

Comments To appear at ACL 2023. Code published at https://github.com/viswavi/datafinder

Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods

Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller

Comments ACL 2023 Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization

Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

Comments 16 pages, 3 figures. Accepted as long paper in main conference of ACL 2023

CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions

Janis Goldzycher

Comments 11 pages, 4 figures, Accepted at The 17th International Workshop on Semantic Evaluation, ACL 2023

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis

Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori

Comments ACL 2023

From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization

Arie Cattan, Lilach Eden, Yoav Kantor, Roy Bar-Haim

Comments ACL 2023

oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes

Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai

Comments SustaiNLP2023 @ ACL 2023,9 pages, 2 figures, 45 tables