Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Bernd Bohnet"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 212-226 (2023)
AbstractMost recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution system that uses a text-to-text (seq2seq) paradigm to predict menti
Externí odkaz:
https://doaj.org/article/48e64552853440beb92f7843233a80c2
Publikováno v:
2022 6th International Conference on System Reliability and Safety (ICSRS).
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2201-2210. Dublin : Association for Computational Linguistics
STARTPAGE=2201;ENDPAGE=2210;TITLE=Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2201-2210
STARTPAGE=2201;ENDPAGE=2210;TITLE=Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 2201-2210
Contains fulltext : 288113.pdf (Publisher’s version ) (Closed access) ACL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c51eb8fce4b4fea5134e13bef4d96b9
http://hdl.handle.net/2066/288113
http://hdl.handle.net/2066/288113
Publikováno v:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
ACL
ACL
Named Entity Recognition (NER) is a fundamental task in Natural Language Processing, concerned with identifying spans of text expressing references to entities. NER research is often focused on flat entities only (flat NER), ignoring the fact that en
Publikováno v:
Proceedings ISBN: 9783658299422
Facing a severe climate change due to use of fossil fuels as energy source for the prime movers in industry and transportation, immediate actions to limit global warming to under 2°C are necessary. As the transportation sector is one of the major so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d8dc0bed90f6171cf345da5e3318426
https://doi.org/10.1007/978-3-658-29943-9_40
https://doi.org/10.1007/978-3-658-29943-9_40
Publikováno v:
ACL
It is well known that the standard likelihood training and approximate decoding objectives in neural text generation models lead to less human-like responses for open-ended tasks such as language modeling and story generation. In this paper we have a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6ddcb40ec46d21a57577302b909358
Autor:
Mohab Elkaref, Bernd Bohnet
Publikováno v:
Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019).
Publikováno v:
Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)
MSR@EMNLP-IJCNLP
MSR@EMNLP-IJCNLP
This paper presents results from the Third Shared Task on Multilingual Surface Realisation (SR’20) which was organised as part of the COLING’20 Workshop on Multilingual Surface Realisation. As in SR’18 and SR’19, the shared task comprised two
Publikováno v:
Proceedings of the First Workshop on Multilingual Surface Realisation
Publikováno v:
ACL (1)
The rise of neural networks, and particularly recurrent neural networks, has produced significant advances in part-of-speech tagging accuracy. One characteristic common among these models is the presence of rich initial word encodings. These encoding