IJCNLP-AACL 2023 Proceedings Home | IJCNLP-AACL 2023 WEBSITE | ACL WEBSITE


The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the A sia-Pacific Chapter of the Association for Computational Linguistics

PROGRAM

 Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng and Philip S. Yu
 Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng and Philip Yu
 SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis
Imtiaz Karim, Kazi Samin Mubasshir, Mirza Masfiqur Rahman and Elisa Bertino
 PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration
Minseok Choi, Hyesu Lim and Jaegul Choo
 Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge
Tiezheng Yu, Ziwei Ji and Pascale Fung
 Learning to Diversify Neural Text Generation via Degenerative Model
Jimin Hong, ChaeHun Park and Jaegul Choo
 A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
Danushka Bollegala, Shuichi Otake, Tomoya Machide and Ken-ichi Kawarabayashi
 PhraseSumm: Abstractive Short Phrase Summarization
Kasturi Bhattacharjee, Kathleen McKeown and Rashmi Gangadharaiah
 Location Aware Modular Biencoder for Tourism Question Answering
Haonan Li, Martin Tomko and Timothy Baldwin
 Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation
Teven Le Scao and Claire Gardent
 Unsupervised Multi-document Summarization with Holistic Inference
Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang and Dong Yu
 Predicting Terms in IS-A Relations with Pre-trained Transformers
Irina Nikishina, Polina Chernomorchenko, Anastasiia Demidova, Alexander Panchenko and Chris Biemann
 Context Helps Determine Spatial Knowledge from Tweets
Zhaomin Xiao, Yan Huang and Eduardo Blanco
 Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation
Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou and Lili Mou
 Knowledge Injection with Perturbation-based Constrained Attention Network for Word Sense Disambiguation
Fumiyo Fukumoto and Shou Asakawa
 The Glass Ceiling of Automatic Evaluation in Natural Language Generation
Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West and Pablo Piantanida
 A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo, Nathan Noiry, Guillaume Staerman and Pablo Piantanida
 Large Language Models and Low-Resource Languages: An Examination of Armenian NLP
Hayastan Avetisyan and David Broneske
 Multi-Target Semantic Parsing with Collaborative Deliberation Network
Xiang Li, Fangyu Lei, Shizhu He, Kang Liu and Jun Zhao
 Improving Machine Reading Comprehension through A Simple Masked-Training Scheme
Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang and Yuan-Fang Li
 A Comprehensive Neural and Behavioral Task Taxonomy Method for Transfer Learning in NLP
Yunhao Zhang, Chong Li, Xiaohan Zhang, Xinyi Dong and Shaonan Wang
 My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
Tanmay Chavan, Omkar Gokhale, Aditya Kane, Shantanu Patankar and Raviraj Joshi
 Template Filling for Controllable Commonsense Reasoning
Dheeraj Rajagopal, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Andrew E. Fano Fano and Eduard Hovy
 Temporal Relation Classification in Hebrew
Guy Yanko, Shahaf Pariente and Kfir Bar
 Privacy Adhering Machine Un-learning in NLP
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah and Dan Roth
 GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
Atakan Kara, Farrin Marouf Sofian, Andrew Bond and Gözde Şahin
 Interactively Learning Social Media Representations Improves News Source Factuality Detection
Nikhil Mehta and Dan Goldwasser
 IndIE: A Multilingual Open Information Extraction Tool For Indic Languages
Ritwik Mishra, Simranjeet Singh, Rajiv Ratn Shah, Ponnurangam Kumaraguru and Pushpak Bhattacharyya
 Mitigating Word Bias in Zero-shot Prompt-based Classifiers
Adian Liusie, Potsawee Manakul and Mark Gales
 Mixing It Up: Inducing Empathy and Politeness using Multiple Behaviour-aware Generators for Conversational Systems
Mauajama Firdaus, Priyanshu Priya and Asif Ekbal
 Few-Shot Adaptation for Parsing Contextual Utterances with LLMs
Kevin Lin, Patrick Xia and Hao Fang
 Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study
Yi Chen, Rui Wang, Haiyun Jiang, Shuming Shi and Ruifeng Xu
 A Text-to-Text Model for Multilingual Offensive Language Identification
Tharindu Ranasinghe and Marcos Zampieri
 Few-shot Named Entity Recognition with Supported and Dependent Label Representations
Yasuhide Miura and Takumi Takahashi
 What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples
Shakila Mahjabin Tonni and Mark Dras
 Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering
Giorgio Barnabò, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti and Davide Bernardi
 STRONG – Structure Controllable Legal Opinion Summary Generation
Yang Zhong and Diane Litman