EACL (Findings)

Keyphrases

Publications

2023

Haoran Xu, Jean Maillard, Vedanuj Goswami
Language-Aware Multilingual Machine Translation with Self-Supervised Learning. EACL (Findings) (2023)
Mingyang Song, Yi Feng, Liping Jing
A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models. EACL (Findings) (2023)
Yuhang Zhou, Suraj Maharjan, Beiye Liu
Scalable Prompt Generation for Semi-supervised Learning with Language Models. EACL (Findings) (2023)
Yida Mu, Kalina Bontcheva, Nikolaos Aletras
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. EACL (Findings) (2023)
Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou
SharPT: Shared Latent Space Prompt Tuning. EACL (Findings) (2023)
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu
ViDeBERTa: A powerful pre-trained language model for Vietnamese. EACL (Findings) (2023)
Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui
Empirical Investigation of Neural Symbolic Reasoning Strategies. EACL (Findings) (2023)
Weizhe Lin, Zhilin Wang, Bill Byrne
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) (2023)
Elizabeth Nielsen, Christo Kirov, Brian Roark
Spelling convention sensitivity in neural language models. EACL (Findings) (2023)
Oshin Agarwal, Ani Nenkova
Named Entity Recognition in a Very Homogenous Domain. EACL (Findings) (2023)
Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
Improving Numeracy by Input Reframing and Quantitative Pre-Finetuning Task. EACL (Findings) (2023)
Gijs Wijnholds
Assessing Monotonicity Reasoning in Dutch through Natural Language Inference. EACL (Findings) (2023)
Dhairya Dalal, Paul Buitelaar, Mihael Arcan
CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models. EACL (Findings) (2023)
Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. EACL (Findings) (2023)
Alexander Pugantsov, Richard McCreadie
Divergence-Based Domain Transferability for Zero-Shot Classification. EACL (Findings) (2023)
Yamen Ajjour, Johannes Kiesel, Benno Stein, Martin Potthast
Topic Ontologies for Arguments. EACL (Findings) (2023)
Hanxu Hu, Yunqing Liu, Zhongyi Yu, Laura Perez-Beltrachini
Improving User Controlled Table-To-Text Generation Robustness. EACL (Findings) (2023)
Erika Petersen, Christopher Potts
Lexical Semantics with Large Language Models: A Case Study of English "break". EACL (Findings) (2023)
Inderjeet Nair, Aparna Garimella, Balaji Vasan Srinivasan, Natwar Modani, Niyati Chhaya, Srikrishna Karanam, Sumit Shekhar
A Neural CRF-based Hierarchical Approach for Linear Text Segmentation. EACL (Findings) (2023)
Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto, Goran Glavas
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers. EACL (Findings) (2023)
Zeyu Zhang, Thuy Vu, Alessandro Moschitti
Double Retrieval and Ranking for Accurate Question Answering. EACL (Findings) (2023)
Lena Schwertmann, Manoj Prabhakar Kannan Ravi, Gerard de Melo
Model-Agnostic Bias Measurement in Link Prediction. EACL (Findings) (2023)
Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) (2023)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) (2023)
Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. EACL (Findings) (2023)
Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych
Transformers with Learnable Activation Functions. EACL (Findings) (2023)
Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. EACL (Findings) (2023)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. EACL (Findings) (2023)
Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen
LED: A Dataset for Life Event Extraction from Dialogs. EACL (Findings) (2023)
Takuma Udagawa, Hiroshi Kanayama, Issei Yoshida
Sentence Identification with BOS and EOS Label Combinations. EACL (Findings) (2023)
Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei
Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. EACL (Findings) (2023)
Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. EACL (Findings) (2023)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) (2023)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. EACL (Findings) (2023)
Derek Chen, Kun Qian, Zhou Yu
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking. EACL (Findings) (2023)
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Rifat Shahriyar
BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla. EACL (Findings) (2023)
Charlotte Pouw, Nora Hollenstein, Lisa Beinborn
Cross-Lingual Transfer of Cognitive Processing Complexity. EACL (Findings) (2023)
Yi-An Lai, Elman Mansimov, Yuqing Xie, Yi Zhang
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion. EACL (Findings) (2023)
Sumegh Roychowdhury, Vikram Gupta
Data-Efficient Methods For Improving Hate Speech Detection. EACL (Findings) (2023)
Byounghan Lee, Jaesik Kim, Junekyu Park, Kyung-ah Sohn
Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning. EACL (Findings) (2023)
Shuyang Cao, Liang Ma, Di Lu, Robert L. Logan IV, Joel R. Tetreault, Alejandro Jaimes
Multi-View Source Ablation for Faithful Summarization. EACL (Findings) (2023)
Cuong Hoang, Devendra Sachan, Prashant Mathur, Brian Thompson, Marcello Federico
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions. EACL (Findings) (2023)
Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, Kyomin Jung
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning. EACL (Findings) (2023)
Nishant Kambhatla, Logan Born, Anoop Sarkar
Decipherment as Regression: Solving Historical Substitution Ciphers by Learning Symbol Recurrence Relations. EACL (Findings) (2023)
Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. EACL (Findings) (2023)
Krithika Ramesh, Sunayana Sitaram, Monojit Choudhury
Fairness in Language Models Beyond English: Gaps and Challenges. EACL (Findings) (2023)
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. EACL (Findings) (2023)
Pinzhen Chen, Gerasimos Lampouras
Exploring Data Augmentation for Code Generation Tasks. EACL (Findings) (2023)
Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Seokhwan Kim, Andy Rosenbaum, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
PLACES: Prompting Language Models for Social Conversation Synthesis. EACL (Findings) (2023)
Saranya Venkatraman, He He, David Reitter
How do decoding algorithms distribute information in dialogue responses? EACL (Findings) (2023)