Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rosario A. Uceda-Sosa"'
Autor:
Saswati Dana, Saurabh Pujar, Radu Florian, Dinesh Khandelwal, Todd Ward, Rong Zhang, Rishav Chakravarti, Lin Pan, Rosario A. Uceda-Sosa, John F. Pitrelli, Salim Roukos, Martin Franz, Anthony Ferritto, Cezar Pendus, Avirup Sil, Mohamed Nasr, J. Scott McCarley, Dinesh Garg, Vittorio Castelli, Mike McCawley, Andrzej Sakrajda
Publikováno v:
ACL
We introduce TechQA, a domain-adaptation question answering dataset for the technical support domain. The TechQA corpus highlights two real-world issues from the automated customer support domain. First, it contains actual questions posed by users on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da2b299f91f5ddc8c3eeb48fc926b06
https://doi.org/10.18653/v1/2020.acl-main.117
https://doi.org/10.18653/v1/2020.acl-main.117
Autor:
Paul Weng, Byron C. Wallace, Biplav Srivastava, Andre Barreto, Jenna Wiens, Rosario A. Uceda-Sosa, Kristian Kersting, Markus Endres, Lawrence Hunter, Mark S. Fox, Amir-massoud Farahmand, Lutz Frommberger, David Poole, Sam Ganzfried, Arnav Jhala, Martijn van Otterlo, Sheila A. McIlraith, Jie Zhang, Arash Shaban-Nejad, Yolanda Gil, Rémi Ronfard, Sriraam Natarajan, Freddy Lecue, Zeinab Noorian, Nina Dethlefs, Guy Van den Broeck, Alessandro Saffiotti, Sébastien Guillet, Darius Braziunas, David L. Buckeridge, Stefano V. Albrecht, Gerald Tesauro, George Konidaris, Heriberto Cuayáhuitl
Publikováno v:
Scopus-Elsevier
AI Magazine; Vol 36, No 1: Spring 2015; 87-98
AI Magazine; Vol 36, No 1: Spring 2015; 87-98
The AAAI-14 Workshop program was held Sunday and Monday, July 27–28, 2012, at the Québec City Convention Centre in Québec, Canada. Canada. The AAAI-14 workshop program included fifteen workshops covering a wide range of topics in artificial intel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27203e0006cc23c5928669a5f31593bf
https://doi.org/10.1609/aimag.v36i1.2575
https://doi.org/10.1609/aimag.v36i1.2575
Publikováno v:
MADiMa @ ACM Multimedia
We present a system to assist users in dietary logging habits, which performs food recognition from pictures snapped on their phone in two different scenarios. In the first scenario, called "Food in context", we exploit the GPS information of a user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f006965fad0f66f776639f180d79b84
https://doi.org/10.1145/2986035.2986036
https://doi.org/10.1145/2986035.2986036
Publikováno v:
ACM Multimedia
We propose a visual food recognition framework that integrates the inherent semantic relationships among fine-grained classes. Our method learns semantics-aware features by formulating a multi-task loss function on top of a convolutional neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::543e3c8e840caba2eb53259b9cc3981c
https://doi.org/10.1145/2964284.2967205
https://doi.org/10.1145/2964284.2967205
Publikováno v:
Proceedings of the AI for an Intelligent Planet.
Despite enormous progress made in reconciling and simplifying semantic standards, industry-strength models are still few. In this work, we describe our challenges and approach in building semantic models for consumption in assembling large IT solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb070bcc7cbaebb2c6beda18224d4e0
https://doi.org/10.1145/2018316.2018319
https://doi.org/10.1145/2018316.2018319
Autor:
Quoc-Bao Nguyen, Matthew L. Hill, Rosario A. Uceda-Sosa, Noel C. F. Codella, Liangliang Cao, E. Pring, John R. Smith, Michele Merler
Publikováno v:
IBM Journal of Research and Development. 59:7:1-7:13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edf37ed2d46aed1c90b12a17c6a624a5
https://doi.org/10.1147/jrd.2015.2398590
https://doi.org/10.1147/jrd.2015.2398590
Autor:
Jian Xu, Xin Zhou, Rosario A. Uceda-Sosa, Tim Klinger, Annie Ying, Peri Tarr, Paul M. Matchen, Leiguang Gong
Publikováno v:
OOPSLA Companion
Integrated Solution Engineering helps developers manage software complexity by offering semi-automated support for capturing and mining relationships among artifacts and/or developer tasks at different stages of the software lifecycle, and by aiding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b816ad292d85f9fe62713fd414bef974
https://doi.org/10.1145/1176617.1176695
https://doi.org/10.1145/1176617.1176695
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540237228
ER (Workshops)
ER (Workshops)
The semantic web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. Ontologies, a cornerstone of the semantic web, have gained wide popularity as a model of information in a given doma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4578be9fff43bb991805f1844eea6654
https://doi.org/10.1007/978-3-540-30466-1_26
https://doi.org/10.1007/978-3-540-30466-1_26
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540237235
ER
ER
The management and exchange of knowledge in the Internet has become the cornerstone of technological and commercial progress. In this fast-paced environment, the competitive advantage belongs to those businesses and individuals that can leverage the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21eed93e77eaeb5bf576cc55ce1f7010
https://doi.org/10.1007/978-3-540-30464-7_67
https://doi.org/10.1007/978-3-540-30464-7_67
Autor:
Berta Cormenzana, Rosario A. Uceda-Sosa, Maria-Cristina Marinescu, Sergio Mendoza, Salvador Rueda, Mónica Marrero
Publikováno v:
2015 IEEE First International Smart Cities Conference (ISC2)
ISC2
ISC2
This paper describes a semantic model for urban sustainability and its implementation as an ontology. The ontology functions as an integration layer for the heterogeneous data sources used to calculate the set of sustainability indicators. These indi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4ab2ef20da4698055063ab69d52a33b