Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Andrew Zupon"'
Autor:
Mihai Surdeanu, John Hungerford, Yee Seng Chan, Jessica MacBride, Benjamin Gyori, Andrew Zupon, Zheng Tang, Haoling Qiu, Bonan Min, Yan Zverev, Caitlin Hilverman, Max Thomas, Walter Andrews, Keith Alcock, Zeyu Zhang, Michael Reynolds, Steven Bethard, Rebecca Sharp, Egoitz Laparra
Publikováno v:
Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61798b2a7a417a04e61e29827a5993c8
https://doi.org/10.18653/v1/2022.hcinlp-1.1
https://doi.org/10.18653/v1/2022.hcinlp-1.1
Publikováno v:
Insights
Neural networks are a common tool in NLP, but it is not always clear which architecture to use for a given task. Different tasks, different languages, and different training conditions can all affect how a neural network will perform. Capsule Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fbd4d0a6cb7e8ac63828cf52fa06b77
https://doi.org/10.18653/v1/2020.insights-1.10
https://doi.org/10.18653/v1/2020.insights-1.10
Autor:
Ajay Nagesh, Mihai Surdeanu, Andrew Zupon, Marco Antonio Valenzuela-Escárcega, Maria Alexeeva
Publikováno v:
SPNLP@NAACL-HLT
We propose a lightly-supervised approach for information extraction, in particular named entity classification, which combines the benefits of traditional bootstrapping, i.e., use of limited annotations and interpretability of extraction patterns, wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc5d9b80884ecd18bee2d7c10529be4b
https://doi.org/10.18653/v1/w19-1504
https://doi.org/10.18653/v1/w19-1504