Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zorik Gekhman"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 351-366 (2023)
AbstractMost work on modeling the conversation history in Conversational Question Answering (CQA) reports a single main result on a common CQA benchmark. While existing models show impressive results on CQA leaderboards, it remains unclear whether th
Externí odkaz:
https://doaj.org/article/726b0fbd48a4409c8db18ebe71a289d9
Most works on modeling the conversation history in Conversational Question Answering (CQA) report a single main result on a common CQA benchmark. While existing models show impressive results on CQA leaderboards, it remains unclear whether they are r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a5dafc2e25effc952018021020d6e67
Publikováno v:
EMNLP (Findings)
We propose a simple and effective method for machine translation evaluation which does not require reference translations. Our approach is based on (1) grounding the entity mentions found in each source sentence and candidate translation against a la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d2a035e4b998ef95f842b3324dbe5db
https://doi.org/10.18653/v1/2020.findings-emnlp.287
https://doi.org/10.18653/v1/2020.findings-emnlp.287