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3rd Eval4NLP 2022: Online
- Daniel Deutsch, Can Udomcharoenchaikit, Juri Opitz, Yang Gao, Marina Fomicheva, Steffen Eger:
Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2022, Online, November 20, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-00-5 - Shohei Higashiyama, Masao Ideuchi, Masao Utiyama, Yoshiaki Oida, Eiichiro Sumita:
A Japanese Corpus of Many Specialized Domains for Word Segmentation and Part-of-Speech Tagging. 1-10 - Shohei Zhou, Alisha Zachariah, Devin Conathan, Jeffery Kline:
Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis. 11-20 - Mateusz Krubi'nski
, Pavel Pecina:
From COMET to COMES - Can Summary Evaluation Benefit from Translation Evaluation? 21-31 - Juri Opitz, Anette Frank:
Better Smatch = Better Parser? AMR evaluation is not so simple anymore. 32-43 - Ryan Chi, Nathan Kim, Patrick Liu, Zander Lack, Ethan A. Chi:
GLARE: Generative Left-to-right AdversaRial Examples. 44-50 - Zhengxiang Wang:
Random Text Perturbations Work, but not Always. 51-57 - Parush Gera, Tempestt J. Neal:
A Comparative Analysis of Stance Detection Approaches and Datasets. 58-69 - Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui:
Why is sentence similarity benchmark not predictive of application-oriented task performance? 70-87 - Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. 88-95 - Roberta Rocca, Alejandro de la Vega:
Evaluating the role of non-lexical markers in GPT-2's language modeling behavior. 96-102 - Guanyi Chen, Fahime Same, Kees van Deemter:
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset. 103-114
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