ACL

DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji

Comments Accepted to Findings of ACL 2023

Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process

Fanghua Ye, Zhiyuan Hu, Emine Yilmaz

Comments To appear at ACL 2023

Explaining How Transformers Use Context to Build Predictions

Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas, Marta R. Costa-jussà

Comments ACL 2023

Model Analysis & Evaluation for Ambiguous Question Answering

Konstantinos Papakostas, Irene Papadopoulou

Comments Accepted in the Findings of ACL 2023

Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification

Renliang Sun, Wei Xu, Xiaojun Wan

Comments Accepted by ACL Findings: 2023

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter

Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun

Comments Findings of ACL 2023

EM Pre-training for Multi-party Dialogue Response Generation

Yiyang Li, Hai Zhao

Comments Accepted by ACL 2023

Pruning Pre-trained Language Models with Principled Importance and Self-regularization

Siyu Ren, Kenny Q. Zhu

Comments Accepted at Findings of ACL 2023

Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond

Haw-Shiuan Chang, Zonghai Yao, Alolika Gon, Hong Yu, Andrew McCallum

Comments ACL Findings 2023

Patton: Language Model Pretraining on Text-Rich Networks

Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han

Comments ACL 2023. (Code: https://github.com/PeterGriffinJin/Patton)

Dynamic Transformers Provide a False Sense of Efficiency

Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby T. Tan, Haizhou Li

Comments Accepted by ACL2023

Self-Distillation with Meta Learning for Knowledge Graph Completion

Yunshui Li, Junhao Liu, Chengming Li, Min Yang

Comments Findings of the Association for Computational Linguistics: EMNLP 2022

Lifting the Curse of Capacity Gap in Distilling Language Models

Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song

Comments 17 pages, 6 figures, 13 tables, accepted to ACL 2023. Code is available at https://github.com/GeneZC/MiniMoE

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization

Ting Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

Comments Findings of ACL 2023

ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain

Mike Zhang, Rob van der Goot, Barbara Plank

Comments Accepted at ACL2023 (Main)

BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases

Xin Liu, Muhammad Khalifa, Lu Wang

Comments Accepted by ACL 2023

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation

Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng

Comments Accepted by ACL 2023 Main

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering

Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang

Comments Accepted to ACL2023(Findings). The Camera-ready Version

Improving Contrastive Learning of Sentence Embeddings from AI Feedback

Qinyuan Cheng, Xiaogui Yang, Tianxiang Sun, Linyang Li, Xipeng Qiu

Comments Accepted to Findings of ACL 2023, camera-ready version

Prompting Language Models for Linguistic Structure

Terra Blevins, Hila Gonen, Luke Zettlemoyer

Comments ACL 2023

Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling

Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci, Andrew McCallum

Comments ACL 2023

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection

Badr AlKhamissi, Faisal Ladhak, Srini Iyer, Ves Stoyanov, Zornitsa Kozareva, Xian Li, Pascale Fung, Lambert Mathias, Asli Celikyilmaz, Mona Diab

Comments Accepted at EMNLP 2022

Journal ref In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 2109-2120, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics

The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics

Ricardo Rei, Nuno M. Guerreiro, Marcos Treviso, Luisa Coheur, Alon Lavie, André F. T. Martins

Comments Accepted at ACL 2023

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning

Mustafa Safa Ozdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta

Comments 5 pages, 3 Figures, ACL 2023

Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages

Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani

Comments 5 pages, accepted to Findings of ACL 2023

Attributable and Scalable Opinion Summarization

Tom Hosking, Hao Tang, Mirella Lapata

Comments ACL 2023

From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment

Yu Zhao, Yike Wu, Xiangrui Cai, Ying Zhang, Haiwei Zhang, Xiaojie Yuan

Comments Accepted by ACL 2023 Findings

Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona

Yihong Tang, Bo Wang, Miao Fang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

Comments ACL 2023

Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast

Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Duan Nan

Comments Accepted by ACL2023 (Long paper)

DUB: Discrete Unit Back-translation for Speech Translation

Dong Zhang, Rong Ye, Tom Ko, Mingxuan Wang, Yaqian Zhou

Comments Accepted to Findings of ACL 2023