Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tania Bedrax-Weiss"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9 (2021)
Externí odkaz:
https://doaj.org/article/b69ef75f54674f3dbe237433e612b524
Publikováno v:
ACM SIGKDD Explorations Newsletter. 22:8-11
The first workshop on Document Intelligence (DI-2019) was held on December 14, 2019 at NeurIPS 2019 conference in Vancouver, Canada. The report summarizes the workshop, with a summary of the talks, papers and posters presented, and discusses common t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3914e8e724f5489e086f910a45733941
https://doi.org/10.1145/3447556.3447563
https://doi.org/10.1145/3447556.3447563
Publikováno v:
Transactions of the Association for Computational Linguistics. 9:774-789
A desirable property of a reference-based evaluation metric that measures the content quality of a summary is that it should estimate how much information that summary has in common with a reference. Traditional text overlap based metrics such as ROU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7588fa4b0d3f7b1412ca33cc3e925a8
https://doi.org/10.1162/tacl_a_00397
https://doi.org/10.1162/tacl_a_00397
Publikováno v:
ACL (1)
Most current NLP systems have little knowledge about quantitative attributes of objects and events. We propose an unsupervised method for collecting quantitative information from large amounts of web data, and use it to create a new, very large resou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::594d3a2ef7e56a59f32be8f0ed74a170
Publikováno v:
EMNLP/IJCNLP (1)
We consider open-domain queston answering (QA) where answers are drawn from either a corpus, a knowledge base (KB), or a combination of both of these. We focus on a setting in which a corpus is supplemented with a large but incomplete KB, and on ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7a905d597aba8cda1027b75b858e0e2
Autor:
Fernando Pereira, Bo Pang, Yuan Zhang, Michael Tseng, Srini Narayanan, Jason Baldridge, Tania Bedrax-Weiss, Radu Soricut, Daphne Luong
Publikováno v:
Proceedings of the First International Workshop on Spatial Language Understanding.
Spatial language understanding is important for practical applications and as a building block for better abstract language understanding. Much progress has been made through work on understanding spatial relations and values in images and texts as w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc96ac542f631a9b588f04beacfb8ed8
https://doi.org/10.18653/v1/w18-1406
https://doi.org/10.18653/v1/w18-1406
Autor:
Conor McGann, Will Taylor, Michael Iatauro, Tania Bedrax-Weiss, Jeremy Frank, Andrew Bachmann
Publikováno v:
Principles and Practice of Constraint Programming – CP 2004 ISBN: 9783540232414
CP
CP
Until recently, planning research focused on solving problems of feasibility using models consisting of causal rules. Propositional logic is sufficient for representing such rules. However, many planning problems also contain time and resource constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa02768830a3d583598b2a2d1687a0b
https://doi.org/10.1007/978-3-540-30201-8_89
https://doi.org/10.1007/978-3-540-30201-8_89
Autor:
Leopoldo Bertossi, Tania Bedrax-Weiss
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783540604365
SBIA
SBIA
This paper presents an application of Sandewall's methodology [16] for assessing nonmonotonic entailment criteria for reasoning about actions and change. We establish the correctness of Reiter's general solution to the frame problem [14] for a broad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31a6ef76b8eb962a5409db81a69be5ca
https://doi.org/10.1007/bfb0034799
https://doi.org/10.1007/bfb0034799
Publikováno v:
Nature. 398:186-186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::386f62ae2049031c47d8b7a95be05c18
https://doi.org/10.1038/18286-c1
https://doi.org/10.1038/18286-c1