Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Lucie Flek"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3a555f267761dacbe43d7488efb35e0
https://doi.org/10.1007/978-3-031-28244-7_8
https://doi.org/10.1007/978-3-031-28244-7_8
Autor:
Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb3de3ae8f642128a639f07c36186fb4
https://doi.org/10.1145/3477495.3532068
https://doi.org/10.1145/3477495.3532068
Large pre-trained neural language models have supported the effectiveness of many NLP tasks, yet are still prone to generating toxic language hindering the safety of their use. Using empathetic data, we improve over recent work on controllable text g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f657682b5a9debb1c2a924e64a99428c
http://arxiv.org/abs/2205.07233
http://arxiv.org/abs/2205.07233
Autor:
Xiaolei Huang, Lucie Flek, Franck Dernoncourt, Charles Welch, Silvio Amir, Ramit Sawhney, Diyi Yang
Publikováno v:
Companion Proceedings of the Web Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06bfe37b4db8c9ab56f508c3199dae70
https://doi.org/10.1145/3487553.3524879
https://doi.org/10.1145/3487553.3524879
Publikováno v:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48927162e600a2af0f02021f790f28d4
https://doi.org/10.18653/v1/2022.wassa-1.31
https://doi.org/10.18653/v1/2022.wassa-1.31
Publikováno v:
Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d210f94192c8a7c181eafe22a6570579
https://doi.org/10.18653/v1/2022.socialnlp-1.8
https://doi.org/10.18653/v1/2022.socialnlp-1.8
Autor:
Lucie Flek, Liane Vogel
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783031162695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e87279752a9886ffd233c3616c5f04e2
https://doi.org/10.1007/978-3-031-16270-1_39
https://doi.org/10.1007/978-3-031-16270-1_39
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5524a92099e241b18a6f893cad3def1b
https://doi.org/10.18653/v1/2022.acl-short.67
https://doi.org/10.18653/v1/2022.acl-short.67
Publikováno v:
Proceedings of the 1st Workshop on Multilingual Representation Learning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c42b4c52205d7eaf0de83da9347ac674
https://doi.org/10.18653/v1/2021.mrl-1.21
https://doi.org/10.18653/v1/2021.mrl-1.21
Autor:
Diyi Yang, Lucie Flek
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030835262
TDS
TDS
Natural Language Generation (NLG) has received much attention with rapidly developing models and ever-more available data. As a result, a growing amount of work attempts to personalize these systems for better human interaction experience. Still, div
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91e1ecd84030f6c62ecc3abbdb76d232
https://doi.org/10.1007/978-3-030-83527-9_1
https://doi.org/10.1007/978-3-030-83527-9_1