Zobrazeno 1 - 10
of 11
pro vyhledávání: '"William A. Beaumont"'
Autor:
Brodie Mather, Bonnie Dorr, Adam Dalton, William de Beaumont, Owen Rambow, Sonja Schmer-Galunder
We present a generalized paradigm for adaptation of propositional analysis (predicate-argument pairs) to new tasks and domains. We leverage an analogy between stances (belief-driven sentiment) and concerns (topical issues with moral dimensions/endors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72e3e4ae94caa65fd2052df414558b62
Autor:
Jessica E. Marsh, Olivia M. Simmons, L. Scott, William A. Beaumont, William R. C. Beaumont, Céline Artero, W. D. Riley, John Davy-Bowker, Rasmus B. Lauridsen, Stephen D. Gregory, Thomas Lecointre, Dylan E. Roberts
Publikováno v:
Journal of fish biologyREFERENCES. 99(3)
Previous work suggests that juvenile salmon recruitment in rain-fed rivers is negatively influenced by warm and wet winters and cool springs. We tested whether this is generally applicable to a southern England chalk stream characterized by comparati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb23844840b54ba5a5f41334f2e0187
https://pubmed.ncbi.nlm.nih.gov/33881168
https://pubmed.ncbi.nlm.nih.gov/33881168
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 32
Current semantic parsers either compute shallow representations over a wide range of input, or deeper representations in very limited domains. We describe a system that provides broad-coverage, deep semantic parsing designed to work in any domain usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7b2ef80b2dee5b4889f26dde765944
https://doi.org/10.1609/aaai.v32i1.11934
https://doi.org/10.1609/aaai.v32i1.11934
Autor:
Nate Blaylock, George Ferguson, James F. Allen, William de Beaumont, Mary Swift, Hyuckchul Jung, Lucian Galescu
This chapter describes a dialog system for task learning and its application to textual user interfaces. Our system, PLOW, uses observation of user demonstration, together with the user’s play-by-play description of that demonstration, to learn com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd1bce406c3dc8f166677b1171a45fb7
https://doi.org/10.4018/978-1-60960-741-8.ch020
https://doi.org/10.4018/978-1-60960-741-8.ch020
Publikováno v:
BCB
In this paper, we present our ongoing work towards an OWL-based framework for extracting a variety of information (including patient history) from clinical texts. Our framework integrates a well-known natural language processing (NLP) system by conve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d202e303b356bc08c01b278620426769
https://doi.org/10.1145/2147805.2147914
https://doi.org/10.1145/2147805.2147914
Autor:
Eytan Adar, Moin Ahmad, James Allen, Paul André, Chieko Asakawa, John Barton, Michael Bernstein, Jeffrey P. Bigham, Nate Blaylock, Jim Blythe, Michael Bolin, Yevgen Borodin, Joel Brandt, Lydia B. Chilton, Victoria H. Chou, Elizabeth F. Churchill, Michael F. Cohen, Kevin Collins, Allen Cypher, William de Beaumont, Mira Dontcheva, Steven M. Drucker, Clemons Drews, Rob Ennals, James A. Fogarty, Björn Hartmann, Alexander Faaborg, George Ferguson, Jun Fujima, Lucien Galescu, Melinda Gervasio, Philip J. Guo, Eben Haber, Will Haines, Kasper Hornbæk, Zhigang Hua, M. Cameron Jones, Hyuckchul Jung, Eser Kandogan, David Karger, Shinya Kawanaka, Masatomo Kobayashi, Scott R. Klemmer, Tessa Lau, Kristina Lerman, Gilly Leshed, Joel Lewenstein, Henry Lieberman, James Lin, Greg Little, Aran Lunzer, Tara Matthews, Robert C. Miller, Brennan Moore, Les Nelson, Jeffrey Nichols, Mary Beth Rosson, David Salesin, Daisuke Sato, Christopher Scaffidi, m.c. schraefel, Mary Shaw, Aaron Spaulding, Mary Swift, Hironobu Takagi, Yuzura Tanaka, Max Van Kleek, Matthew Webber, Daniel S. Weld, Eric Wilcox, Leslie Wu, Chen-Hsiang Yu, Nan Zang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df732e806baed49b0a5c08d93e13927b
https://doi.org/10.1016/b978-0-12-381541-5.00030-4
https://doi.org/10.1016/b978-0-12-381541-5.00030-4
Autor:
William de Beaumont, James F. Allen, Mary Swift, Hyuckchul Jung, Nate Blaylock, George Ferguson, Lucian Galescu
Publisher Summary This chapter explores the Procedure Learning On the Web (PLOW) that demonstrates natural language (NL) is a powerful intuitive tool for end users to build Web tasks with significant complexity using only a single demonstration. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587c7999b86e1e836b27643001d9a7ca
https://doi.org/10.1016/b978-0-12-381541-5.00016-x
https://doi.org/10.1016/b978-0-12-381541-5.00016-x
Publikováno v:
Proceedings of the Third Workshop on Scalable Natural Language Understanding - ScaNaLU '06.
This paper investigates how to extend coverage of a domain independent lexicon tailored for natural language understanding. We introduce two algorithms for adding lexical entries from VerbNet to the lexicon of the Trips spoken dialogue system. We rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5d8e1b66033b312329e32bc9757b00f
https://doi.org/10.3115/1621459.1621465
https://doi.org/10.3115/1621459.1621465
Publikováno v:
IWPT
Producing detailed syntactic and semantic representations of natural language is essential for practical dialog systems such as plan-based assistants and tutorial systems. Development of such systems is time-consuming and costly as they are typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490d9131d0c050a585cb00724af44bdc
https://doi.org/10.3115/1654494.1654519
https://doi.org/10.3115/1654494.1654519
Publikováno v:
Plastic and reconstructive surgery. 52(2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e70f8a399902610eed58e3d08a9eaa08
https://pubmed.ncbi.nlm.nih.gov/4722676
https://pubmed.ncbi.nlm.nih.gov/4722676