2021
EMNLP
EMNLP 2021
Findings of the WMT 2021 Biomedical Translation Shared Task: Summaries of Animal Experiments as New Test Set
Abstract
AbstractIn the sixth edition of the WMT Biomedical Task, we addressed a total of eight language pairs, namely English/German, English/French, English/Spanish, English/Portuguese, English/Chinese, English/Russian, English/Italian, and English/Basque. Further, our tests were composed of three types of textual test sets. New to this year, we released a test set of summaries of animal experiments, in addition to the test sets of scientific abstracts and terminologies. We received a total of 107 submissions from 15 teams from 6 countries.
🌉
Interdisciplinary Bridge
— Healthcare & Medicine and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— animal experiment
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio
Authors
Lana Yeganova
,
Dina Wiemann
,
Mariana Neves
,
Federica Vezzani
,
Amy Siu
,
Inigo Jauregi Unanue
,
Maite Oronoz
,
Nancy Mah
,
Aurélie Névéol
,
David Martinez
,
Rachel Bawden
,
Giorgio Maria Di Nunzio
,
Roland Roller
,
Philippe Thomas
,
Cristian Grozea
,
Olatz Perez-de-Vinaspre
,
Maika Vicente Navarro
,
Antonio Jimeno Yepes
Topics
Natural Language Processing > Applications > Machine Translation
Healthcare & Medicine > Clinical > Clinical NLP
Healthcare & Medicine > Clinical > Medical AI
Machine Learning > Learning Types > Deep Learning
Machine Learning > Learning Types > Multi-Lingual Learning
Healthcare & Medicine > Clinical > Medical NLP