Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Dirk Hovy"'
Publikováno v:
Journal of Artificial Intelligence Research. 76:193-199
Artificial Intelligence (AI) is at a crucial point in its development: stable enough to be used in production systems, and increasingly pervasive in our lives. What does that mean for its safety? In his book Normal Accidents, the sociologist Charles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45990f54774ac8ff3f07ecdb1b807e6a
https://doi.org/10.1613/jair.1.14263
https://doi.org/10.1613/jair.1.14263
Autor:
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
Increasingly taking place in online spaces, modern political conversations are typically perceived to be unproductively affirming -- siloed in so called ``echo chambers'' of exclusively like-minded discussants. Yet, to date we lack sufficient means t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d572cc94c0c9a7028f5551fdc9a4cf
http://arxiv.org/abs/2212.09056
http://arxiv.org/abs/2212.09056
Autor:
Professor Dirk Hovy
This presentation is from the CIVICA Research Open Science for the Social Sciences workshop on Open Science in Horizon Europe: how and (mostly) why. New rules apply in Horizon Europe which seek to open up every step of the research process according
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9226e82a0c1be7a2b19d7885cce81df8
Autor:
Emily Dinan, Gavin Abercrombie, A. Bergman, Shannon Spruit, Dirk Hovy, Y-Lan Boureau, Verena Rieser
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::685cf1da6c105891562e11931cba9c04
https://doi.org/10.18653/v1/2022.acl-long.284
https://doi.org/10.18653/v1/2022.acl-long.284
Natural Language Processing (NLP) models risk overfitting to specific terms in the training data, thereby reducing their performance, fairness, and generalizability. E.g., neural hate speech detection models are strongly influenced by identity terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a19ef4d5f710ce64ad5eb6714ddb04ae
Publikováno v:
Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4234c71f3a472ccaebee8e82dadf9222
https://doi.org/10.18653/v1/2022.nlppower-1.11
https://doi.org/10.18653/v1/2022.nlppower-1.11
Publikováno v:
Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d140d9eea680f6c82803528ae0efde2b
https://doi.org/10.18653/v1/2022.bigscience-1.6
https://doi.org/10.18653/v1/2022.bigscience-1.6
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15ab9f19712dcbbf76c56b8fbcf8d7d5
https://doi.org/10.18653/v1/2022.acl-demo.12
https://doi.org/10.18653/v1/2022.acl-demo.12
Publikováno v:
Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c9335f46586cdd14d81c4907369df2c
https://doi.org/10.18653/v1/2022.ltedi-1.4
https://doi.org/10.18653/v1/2022.ltedi-1.4