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of 5
pro vyhledávání: '"Susan Windisch Brown"'
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:
Susan Windisch Brown, Julia Bonn, Ghazaleh Kazeminejad, Annie Zaenen, James Pustejovsky, Martha Palmer
Publikováno v:
Frontiers in artificial intelligence. 5
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::50eac6d14412895d42fb96a9f16d9c5a
https://pubmed.ncbi.nlm.nih.gov/35493615
https://pubmed.ncbi.nlm.nih.gov/35493615
IMAGACT is a corpus-based ontology of action concepts, derived from English and Italian spontaneous speech resources, which makes use of the universal language of images to identify action types. IMAGACT4ALL is an Internet infrastructure for mapping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b84f41012eeb93252f95c44ef310c420
http://hdl.handle.net/11585/356529
http://hdl.handle.net/11585/356529
