Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ghazaleh Kazeminejad"'
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
Publikováno v:
Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop.
Publikováno v:
Scopus-Elsevier
Much past work has focused on extracting information like events, entities, and relations from documents. Very little work has focused on analyzing these results for better model understanding. In this paper, we introduce a curation interface that ta
Publikováno v:
Proceedings of the 2nd Workshop on the Use of Computational Methods in the Study of Endangered Languages.