Výsledky vyhledávání - "Quesada, José F."

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A General, Sound and Efficient Natural Language Parsing Algorithm based on Syntactic Constraints Propagation

Autor: Quesada, Jose F.

Publikováno v: Proceedings CAEPIA'97, Malaga, Spain. pp. 775-786

This paper presents a new context-free parsing algorithm based on a bidirectional strictly horizontal strategy which incorporates strong top-down predictions (derivations and adjacencies). From a functional point of view, the parser is able to propag

Externí odkaz: http://arxiv.org/abs/cmp-lg/9801005

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Akademický článek

Contextual Diversity, Not Word Frequency, Determines Word-Naming and Lexical Decision Times

Autor: Adelman, James S., Brown, Gordon D. A., Quesada, José F.

Publikováno v: Psychological Science, 2006 Sep 01. 17(9), 814-823.

Externí odkaz: https://www.jstor.org/stable/40064458

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Akademický článek

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LifeLine dialogues with Roberta

Autor: Lopez, A., Ratni, A., Trong, T.N., Olaso, J.M., Montenegro, S., Lee, M., Haider, F., Schlogl, S., Chollet, G., Jokinen, K., Petrovska-Delacretaz, D., Sansen, H., Torres, M.I., Quesada, José F., Mateos, Francisco-Jesús Martín, López Soto, Teresa

Publikováno v: Future and Emerging Trends in Language Technology. Machine Learning and Big Data: Second International Workshop, FETLT 2016, Seville, Spain, November 30 –December 2, 2016, Revised Selected Papers, 73-85
STARTPAGE=73;ENDPAGE=85;TITLE=Future and Emerging Trends in Language Technology. Machine Learning and Big Data
FETLT
FETLT, Dec 2016, Seville, Spain
Lecture Notes in Computer Science ISBN: 9783319693644
HAL

This paper describes work on dialogue data collection and dialoguesystem design for personal assistant humanoid robots undertakenat eNTERFACE 2016. The emphasis has been on the system's speech capabilitiesand dialogue modeling of what we call LifeLin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daeee14dcc4fde088e12d9c151e5672e
https://research.tue.nl/nl/publications/32106d8d-68fa-4171-baa1-ffb6795fd906

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Towards a Topic Discovery and Tracking System with Application to News Items

Autor: Brüggermann, Daniel, Hermey, Yannik, Orth, Carsten, Schneider, Darius, Selzer, Stefan, Spanakis, Gerasimos, Quesada, José F, Martín Mateos, Francisco-Jesús, López Soto, Teresa

Publikováno v: Future and Emerging Trends in Language Technology: Machine Learning and Big Data, FETLT 2016, 183-197
STARTPAGE=183;ENDPAGE=197;TITLE=Future and Emerging Trends in Language Technology: Machine Learning and Big Data, FETLT 2016
Lecture Notes in Computer Science ISBN: 9783319693644
FETLT

Rapid proliferation of the World Wide Web led to an enormous increase in the availability of textual corpora. In this paper, the problem of topic detection and tracking is considered with application to news items. The proposed approach explores two

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a0ea282c142fb02842a8f8a7c3b97ce
https://cris.maastrichtuniversity.nl/en/publications/68c5ce2b-43e3-42e7-9b21-2d985f02f868

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Akademický článek

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Review of spoken dialogue systems

Autor: López-Cózar, Ramón, Callejas, Zoraida, Griol, David, Quesada, José F.

Publikováno v: Loquens; Vol 1, No 2 (2014); e012

Spoken dialogue systems are computer programs developed to interact with users employing speech in order to provide them with specific automated services. The interaction is carried out by means of dialogue turns, which in many studies available in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn23862637::ee1a3e785259595c746882bff0d8a6cf
http://loquens.revistas.csic.es/index.php/loquens/article/view/17

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