Zobrazeno 1 - 10
of 185
pro vyhledávání: '"MARTHA PALMER"'
Autor:
Martha Palmer
Publikováno v:
Computational Linguistics, Vol 50, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/345c7b2c17f24b8890ec107dada8f2df
Autor:
Olga Majewska, Charlotte Collins, Simon Baker, Jari Björne, Susan Windisch Brown, Anna Korhonen, Martha Palmer
Publikováno v:
Journal of Biomedical Semantics, Vol 12, Iss 1, Pp 1-13 (2021)
Abstract Background Recent advances in representation learning have enabled large strides in natural language understanding; However, verbal reasoning remains a challenge for state-of-the-art systems. External sources of structured, expert-curated ve
Externí odkaz:
https://doaj.org/article/46aabef736d74f9f81e2872646f29653
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Computational lexical resources such as WordNet, PropBank, VerbNet, and FrameNet are in regular use in various NLP applications, assisting in the never-ending quest for richer, more precise semantic representations. Coherent class-based organization
Externí odkaz:
https://doaj.org/article/9a3fe8b5202442e194f8b85e9d588670
Autor:
Susan Windisch Brown, Julia Bonn, Ghazaleh Kazeminejad, Annie Zaenen, James Pustejovsky, Martha Palmer
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
The need for deeper semantic processing of human language by our natural language processing systems is evidenced by their still-unreliable performance on inferencing tasks, even using deep learning techniques. These tasks require the detection of su
Externí odkaz:
https://doaj.org/article/a7fa2f38d79b49029c3ac31072e4feed
Autor:
Billy Chiu, Olga Majewska, Sampo Pyysalo, Laura Wey, Ulla Stenius, Anna Korhonen, Martha Palmer
Publikováno v:
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-12 (2019)
Abstract Background VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text proce
Externí odkaz:
https://doaj.org/article/c05b0d1ca2cc40929398463fde944f4e
Publikováno v:
Computational Linguistics, Vol 31, Iss 1 (2021)
Externí odkaz:
https://doaj.org/article/80da7cdfcc914948803494f9c8a543fa
Autor:
William F. Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C de Groen, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, James Pustejovsky
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 2 (2021)
Externí odkaz:
https://doaj.org/article/a74de852221040dd9a3ffefb2cda92b7
Autor:
K. Bretonnel Cohen, Arrick Lanfranchi, Miji Joo-young Choi, Michael Bada, William A. Baumgartner, Natalya Panteleyeva, Karin Verspoor, Martha Palmer, Lawrence E. Hunter
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-14 (2017)
Abstract Background Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific lit
Externí odkaz:
https://doaj.org/article/808c258a08804fd3871345b137a279ca
Publikováno v:
PLoS ONE, Vol 3, Iss 9, p e3158 (2008)
This paper presents data on alternations in the argument structure of common domain-specific verbs and their associated verbal nominalizations in the PennBioIE corpus. Alternation is the term in theoretical linguistics for variations in the surface s
Externí odkaz:
https://doaj.org/article/a873cf85e6284257b6b96042389836e5
Autor:
Sudha Verma, Sarah Vieweg, William Corvey, Leysia Palen, James Martin, Martha Palmer, Aaron Schram, Kenneth Anderson
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:385-392
In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually cull and organize into a coherent picture. Yet valuable information is broadcast, and can provide useful insight i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c4fded60be68169c516fd65dbb10750
https://doi.org/10.1609/icwsm.v5i1.14119
https://doi.org/10.1609/icwsm.v5i1.14119