Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jayant Krishnamurthy"'
Autor:
Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 8 (2021)
Externí odkaz:
https://doaj.org/article/21f58703439d499ea81ffe9da36dc52f
Autor:
Jayant Krishnamurthy, Thomas Kollar
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 1 (2021)
Externí odkaz:
https://doaj.org/article/4dc21a56fbbf45d1bda5ebf924ccb6a6
Autor:
Jayant Krishnamurthy, Tom M. Mitchell
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 3 (2021)
Externí odkaz:
https://doaj.org/article/4a4a4006ef41440d97399575dc69f90b
Autor:
Sam Thomson, Emmanouil Antonios Platanios, Alexander Kyte, Adam Pauls, Subhro Roy, Dan Klein, Yuchen Zhang, Jason Wolfe, Jacob Andreas, Jayant Krishnamurthy, Alan Guo
Publikováno v:
ACL/IJCNLP (1)
Conversational semantic parsers map user utterances to executable programs given dialogue histories composed of previous utterances, programs, and system responses. Existing parsers typically condition on rich representations of history that include
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8d0a67b1b90869c4f2fe03d28ecfee7
https://doi.org/10.18653/v1/2021.acl-long.284
https://doi.org/10.18653/v1/2021.acl-long.284
Publikováno v:
Autonomous Agents and Multi-Agent Systems. 34
Teaching via natural language is an intuitive way for end users to add functionality to a virtual assistant, enabling them to personalize their assistant with new commands without requiring the intervention of the system developer, who cannot possibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7c1ba806c1990db10d1f2f9e7d32c79
https://doi.org/10.1007/s10458-019-09425-x
https://doi.org/10.1007/s10458-019-09425-x
Autor:
William W. Cohen, J. Welling, Kathryn Mazaitis, Ndapandula Nakashole, Bryan Kisiel, Andrew Carlson, T. Mohamed, M. Greaves, Bhavana Dalvi, Tom M. Mitchell, Mehdi Samadi, Abulhair Saparov, Justin Betteridge, Jayant Krishnamurthy, Estevam R. Hruschka, Partha Pratim Talukdar, Ni Lao, Matt Gardner, Abhinav Gupta, Xinlei Chen, Bishan Yang, Emmanouil Antonios Platanios, Alan Ritter, Richard Wang, Derry Tanti Wijaya, Burr Settles
Publikováno v:
IndraStra Global.
Whereas people learn many different types of knowledge from diverse experiences over many years, and become better learners over time, most current machine learning systems are much more narrow, learning just a single function or data model based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ab7fb1f0cf56fcd9e096c98ddb1b755
https://igi.indrastra.com/items/show/188726
https://igi.indrastra.com/items/show/188726
Autor:
Jayant Krishnamurthy, Mitchell, Tom
We present vector space semantic parsing (VSSP), a framework for learning compositional models of vector space semantics. Our framework uses Combinatory Categorial Grammar (CCG) to define a correspondence between syntactic categories and semantic rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0191333a06093f34f802e40e20f8e330
Autor:
Tom M. Mitchell, Jayant Krishnamurthy
Publikováno v:
Transactions of the Association for Computational Linguistics. 3:257-270
We present an approach to learning a model-theoretic semantics for natural language tied to Freebase. Crucially, our approach uses an open predicate vocabulary, enabling it to produce denotations for phrases such as “Republican front-runner from Te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca21ecb3a6cdd73bf8d2a33257a650e4
https://doi.org/10.1162/tacl_a_00137
https://doi.org/10.1162/tacl_a_00137
Publikováno v:
ACL (1)
We present an approach to rapidly and easily build natural language interfaces to databases for new domains, whose performance improves over time based on user feedback, and requires minimal intervention. To achieve this, we adapt neural sequence mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::026c8dff2f19dd93c1d8e61ae2682981
https://doi.org/10.18653/v1/p17-1089
https://doi.org/10.18653/v1/p17-1089
Publikováno v:
CVPR
Diagrams often depict complex phenomena and serve as a good test bed for visual and textual reasoning. However, understanding diagrams using natural image understanding approaches requires large training datasets of diagrams, which are very hard to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bbbb02feb6ca0fd764994ca8e85fd81