EACL

Publications

2023

Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow
Meta Self-Refinement for Robust Learning with Weak Supervision. EACL (2023)
Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen
Parameter-Efficient Tuning with Special Token Adaptation. EACL (2023)
Renliang Sun, Zhixian Yang, Xiaojun Wan
Exploiting Summarization Data to Help Text Simplification. EACL (2023)
Hannan Cao, Wenmian Yang, Hwee Tou Ng
Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting. EACL (2023)
Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer. EACL (2023)
Marwa Gaser, Manuel Mager, Injy Hamed, Nizar Habash, Slim Abdennadher, Ngoc Thang Vu
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text. EACL (2023)
Kyle Mahowald
A Discerning Several Thousand Judgments: GPT-3 Rates the Article + Adjective + Numeral + Noun Construction. EACL (2023)
Ge Shi, Yunyue Su, Yongliang Ma, Ming Zhou
A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction. EACL (2023)
Steven Y. Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, Eduard H. Hovy
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation Models. EACL (2023)
Hongyuan Lu, Wai Lam
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation. EACL (2023)
Yilun Zhao, Zhenting Qi, Linyong Nan, Lorenzo Jaime Yu Flores, Dragomir Radev
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control. EACL (2023)
Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen
BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs. EACL (2023)
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Event Linking: Grounding Event Mentions to Wikipedia. EACL (2023)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann
Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. EACL (2023)
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. EACL (2023)
Piotr Gainski, Klaudia Balazy
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks. EACL (2023)
Rohan Pandey
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings. EACL (2023)
Mehrad Moradshahi, Victoria Tsai, Giovanni Campagna, Monica Lam
Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues. EACL (2023)
Zineb Bennis, Julie Hunter, Nicholas Asher
A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling. EACL (2023)
Xinnian Liang, Shuangzhi Wu, Chenhao Cui, Jiaqi Bai, Chao Bian, Zhoujun Li
Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality. EACL (2023)
Minsoo Kim, Kyuhong Shim, Seongmin Park, Wonyong Sung, Jungwook Choi
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers. EACL (2023)
Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. EACL (2023)
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
Learning to Ignore Adversarial Attacks. EACL (2023)
Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. EACL (2023)
Anders Søgaard, Daniel Hershcovich, Miryam de Lhoneux
A Two-Sided Discussion of Preregistration of NLP Research. EACL (2023)
Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL (2023)
Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell
On the Intersection of Context-Free and Regular Languages. EACL (2023)
Ryo Kamoi, Tanya Goyal, Greg Durrett
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL (2023)
Donghyun Kim, Youbin Ahn, Wongyu Kim, Chanhee Lee, Kyungchan Lee, Kyong-Ho Lee, Jeonguk Kim, Donghoon Shin, Yeonsoo Lee
Persona Expansion with Commonsense Knowledge for Diverse and Consistent Response Generation. EACL (2023)
Annemarie Friedrich, Nianwen Xue, Alexis Palmer
A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches. EACL (2023)
Zishan Ahmad, Kshitij Mishra, Asif Ekbal, Pushpak Bhattacharyya
RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System. EACL (2023)
Tuan Manh Lai, Giuseppe Castellucci, Saar Kuzi, Heng Ji, Oleg Rokhlenko
External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems. EACL (2023)
Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. EACL (2023)
Jia Guo, Stanley Kok, Lidong Bing
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL (2023)
Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. EACL (2023)
Terry Yue Zhuo, Zhuang Li, Yujin Huang, Fatemeh Shiri, Weiqing Wang, Gholamreza Haffari, Yuan-Fang Li
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex. EACL (2023)
Fabio Carrella, Alessandro Miani, Stephan Lewandowsky
IRMA: the 335-million-word Italian coRpus for studying MisinformAtion. EACL (2023)
Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. EACL (2023)
Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, Moshe Koppel, Reut Tsarfaty
Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses? EACL (2023)
Laura Nguyen, Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano
LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization. EACL (2023)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL (2023)
Philipp Sadler, David Schlangen
Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples. EACL (2023)
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. EACL (2023)
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Semantic Frame Induction with Deep Metric Learning. EACL (2023)
Dirk Väth, Lindsey Vanderlyn, Ngoc Thang Vu
Conversational Tree Search: A New Hybrid Dialog Task. EACL (2023)
Mehrad Moradshahi, Sina J. Semnani, Monica Lam
Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation. EACL (2023)
Matús Pikuliak, Ivana Benová, Viktor Bachratý
In-Depth Look at Word Filling Societal Bias Measures. EACL (2023)
Yu Yu, Abdul Rafae Khan, Shahram Khadivi, Jia Xu
Probabilistic Robustness for Data Filtering. EACL (2023)
Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, Navid Rekabsaz
Parameter-efficient Modularised Bias Mitigation via AdapterFusion. EACL (2023)
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. EACL (2023)