Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kevin Stowe"'
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_________::1a74d28933634260551a77aafaeb6621
https://doi.org/10.18653/v1/2022.acl-long.369
https://doi.org/10.18653/v1/2022.acl-long.369
Publikováno v:
Proceedings of the 25th Conference on Computational Natural Language Learning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccfabaca02758a4e011cd58159766eb
https://doi.org/10.18653/v1/2021.conll-1.26
https://doi.org/10.18653/v1/2021.conll-1.26
Publikováno v:
ACL/IJCNLP (1)
Generating metaphors is a difficult task as it requires understanding nuanced relationships between abstract concepts. In this paper, we aim to generate a metaphoric sentence given a literal expression by replacing relevant verbs. Guided by conceptua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::499d0fbb940d4d62099cb77ff17250be
https://doi.org/10.18653/v1/2021.acl-long.524
https://doi.org/10.18653/v1/2021.acl-long.524
Publikováno v:
SSRN Electronic Journal.
Knowledge about the daily number of new infections of Covid-19 is important because it is the basis for political decisions resulting in lockdowns and urgent health care measures. We use Germany as an example to illustrate shortcomings of official nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00e40e24434336da2775b6b5f2c00d15
https://doi.org/10.2139/ssrn.3571252
https://doi.org/10.2139/ssrn.3571252
Autor:
Jennings Anderson, Leysia Palen, Heather Lazrus, Olga V. Wilhelmi, Jen Henderson, Rebecca E. Morss, Kenneth M. Anderson, Julie L. Demuth, Melissa Bica, Marina Kogan, Kevin Stowe
Publikováno v:
Weather, Climate, and Society. 10:537-560
This article investigates the dynamic ways that people communicate, assess, and respond as a weather threat evolves. It uses social media data, which offer unique records of what people convey about their real-world risk contexts. Twitter narratives
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf4f78029eac943bbdf17e9dbac86232
https://doi.org/10.1175/wcas-d-17-0126.1
https://doi.org/10.1175/wcas-d-17-0126.1
Autor:
Melissa Bica, Heather Lazrus, Kenneth M. Anderson, Joshua Watts, Christopher A. Davis, David Ahijevych, Julie L. Demuth, Marina Kogan, Leysia Palen, Olga V. Wilhelmi, Rebecca E. Morss, Chris Snyder, Kevin Stowe, Jennings Anderson, Jennifer Henderson, Kathryn R. Fossell, C. Michael Barton
Publikováno v:
Bulletin of the American Meteorological Society. 98:2653-2674
During the last few decades, scientific capabilities for understanding and predicting weather and climate risks have advanced rapidly. At the same time, technological advances, such as the Internet, mobile devices, and social media, are transforming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b76f412da6aba2c71d8dc859456b282
https://doi.org/10.1175/bams-d-16-0058.1
https://doi.org/10.1175/bams-d-16-0058.1
Publikováno v:
SocialNLP@ACL
A large amount of social media data is generated during natural disasters, and identifying the relevant portions of this data is critical for researchers attempting to understand human behavior, the effects of information sources, and preparatory act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02e1288cbfe97dc1239214bcd6e827fa
https://doi.org/10.18653/v1/w18-3512
https://doi.org/10.18653/v1/w18-3512
Publikováno v:
SocialNLP@EMNLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68f2357a1da3cea01d0efe75e68b789a
https://doi.org/10.18653/v1/w16-6201
https://doi.org/10.18653/v1/w16-6201
Autor:
Martha Palmer, Kevin Stowe
Publikováno v:
Scopus-Elsevier
Fig-Lang@NAACL-HLT
Fig-Lang@NAACL-HLT
Identification of metaphoric language in text is critical for generating effective semantic representations for natural language understanding. Computational approaches to metaphor identification have largely relied on heuristic based models or featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b3e5b4e4c766b91e6cb2ca155399ae
http://www.scopus.com/inward/record.url?eid=2-s2.0-85083013569&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85083013569&partnerID=MN8TOARS
