ACL

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu

Comments Accepted to ACL 2023 (main conference). Code and data are publicly available at https://github.com/dasepli/CodeIE

On the Expressivity Role of LayerNorm in Transformers' Attention

Shaked Brody, Uri Alon, Eran Yahav

Comments Accepted as a short paper in Findings of ACL 2023

DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Comments ACL 2023 Findings

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

Comments Accepted by ACL 2023

Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods

Josip Jukić, Martin Tutek, Jan Šnajder

Comments Accepted to findings of ACL 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery

Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin

Comments ACL Findings 2023

Towards Understanding Omission in Dialogue Summarization

Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui

Comments ACL 2023

Context-Aware Document Simplification

Liam Cripwell, Joël Legrand, Claire Gardent

Comments Accepted to Findings of ACL 2023

Alleviating Over-smoothing for Unsupervised Sentence Representation

Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li

Comments 13 pages

Journal ref ACL 2023

iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?

Nikolas Vitsakis, Amit Parekh, Tanvi Dinkar, Gavin Abercrombie, Ioannis Konstas, Verena Rieser

Comments To appear in the Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023). Association for Computational Linguistics, 2023

InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation

Anwen Hu, Shizhe Chen, Liang Zhang, Qin Jin

Comments Accepted by ACL 2023 main conference

Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages

Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni, Jackie Chi Kit Cheung

Comments Findings of ACL 2023

$2 * n$ is better than $n^2$: Decomposing Event Coreference Resolution into Two Tractable Problems

Shafiuddin Rehan Ahmed, Abhijnan Nath, James H. Martin, Nikhil Krishnaswamy

Comments Findings of the Association of Computational Linguistics, ACL 2023. 13 pages, 7 figures, 6 tables

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning

Weiqi Wang, Tianqing Fang, Baixuan Xu, Chun Yi Louis Bo, Yangqiu Song, Lei Chen

Comments ACL2023 Main Conference

Better Language Models of Code through Self-Improvement

Hung Quoc To, Nghi D. Q. Bui, Jin Guo, Tien N. Nguyen

Comments Accepted to Findings, ACL 2023

GAP-Gen: Guided Automatic Python Code Generation

Junchen Zhao, Yurun Song, Junlin Wang, Ian G. Harris

Comments Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop

An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text

Yova Kementchedjhieva, Ilias Chalkidis

Comments 9 pages, long paper at ACL 2023 Findings

What is the best recipe for character-level encoder-only modelling?

Kris Cao

Comments accepted at ACL 2023

Code Execution with Pre-trained Language Models

Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan

Comments Accepted to the Findings of ACL 2023

Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue

Jian Wang, Dongding Lin, Wenjie Li

Comments Accepted to Findings of ACL-2023

COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective

Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See

Comments Accepted to the main conference of ACL 2023

A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution

Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral

Comments Findings of ACL 2023

GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator

Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Furu Wei, Zhoujun Li

Comments ACL 2023

Deep Span Representations for Named Entity Recognition

Enwei Zhu, Yiyang Liu, Jinpeng Li

Comments Paper accepted to Findings of ACL 2023

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang

Comments ACL 2023 Main Conference. Code: https://github.com/yueyu1030/Patron

Journal ref ACL 2023

Reinforcement Learning for Topic Models

Jeremy Costello, Marek Z. Reformat

Comments 18 pages, 6 figures, Findings of ACL2023, code available at https://github.com/jeremy-costello/rl-for-topic-models

SkillQG: Learning to Generate Question for Reading Comprehension Assessment

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

Comments Accepted at ACL 2023 Findings

Enhancing Continual Relation Extraction via Classifier Decomposition

Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

Comments Accepted to Findings of ACL 2023

HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation

Anchun Gui, Han Xiao

Comments 15 pages, 11 figures; Accepted in ACL 2023 (long + main)

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias

Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

Comments Accepted by Findings of ACL 2023