Zobrazeno 1 - 10
of 26
pro vyhledávání: '"William C. Ogden"'
Autor:
William C. Ogden, Laura A. Thompson
Publikováno v:
Artificial Intelligence Review. 9:347-358
Evidence from the study of human language understanding is presented suggesting that our ability to perceive visible speech can greatly influence our ability to understand and remember spoken language. A view of the speaker’s face can greatly aid i
Publikováno v:
Advances in Open Domain Question Answering ISBN: 9781402047442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d53d4b2071161ce833c7549425fb92
https://doi.org/10.1007/978-1-4020-4746-6_15
https://doi.org/10.1007/978-1-4020-4746-6_15
Autor:
Mark W. Davis, William C. Ogden
Publikováno v:
HICSS
Can we expect people to be able to get information from texts in languages they cannot read? We review two relevant lines of research bearing on this question and show how our results are being used in the design of a new Web interface for cross-lang
Autor:
William C. Ogden, Philip Bernick
Publisher Summary Natural language interfaces (NLIs) can provide the most useful and efficient way for people to interact with computers. The goal for most natural language systems is to provide an interface that minimizes the training required for u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::695e4a32b36ed6bcc316b293343c32df
https://doi.org/10.1016/b978-044481862-1.50073-x
https://doi.org/10.1016/b978-044481862-1.50073-x
Autor:
William C. Ogden, Philip Bernick
Publikováno v:
TIPSTER
TIPSTER is an ARPA sponsored program that seeks to develop methods and tools that support analysts in their efforts to filter, process, and analyze ever increasing quantities of text-based information. To this end, government sponsors, contractors, a
Autor:
William C. Ogden
Publikováno v:
TIPSTER
The TIPSTER Architecture has been designed to enable a variety of different text applications to use a set of common text processing modules. Since user interfaces work best when customized for particular applications, it is appropriator that no part
Publikováno v:
EACL
Alignment methods based on byte-length comparisons of alignment blocks have been remarkably successful for aligning good translations from legislative transcriptions. For noisy translations in which the parallel text of a document has significant str
Autor:
Laura A. Thompson, William C. Ogden
Publikováno v:
Integration of Natural Language and Vision Processing ISBN: 9780792339441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d74f77c1c10ecee552c2ae848cdf521
https://doi.org/10.1007/978-94-009-1639-5_8
https://doi.org/10.1007/978-94-009-1639-5_8
Autor:
Louise Guthrie, Rong Wang, Scott Waterman, James Pustejovsky, William C. Ogden, Jim Cowie, Takahiro Wakao, Yorick Wilks, Wang Jin
Publikováno v:
TIPSTER
Diderot is an information extraction system built at CRL and Brandeis University over the past two years. It was produced as part of our efforts in the Tipster project. The same overall system architecture has been used for English and Japanese and f