Zobrazeno 1 - 5
of 5
pro vyhledávání: '"RODRIGO AGERRI GASCON"'
Publikováno v:
Knowledge-Based Systems. 133:77-89
In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of Multilingual and Cross-lingual data sources. Based on the assumption that event-related information can be recovered fr
Autor:
Zuhaitz Beloki, Xabier Artola, AITOR SOROA ETXABE, German Rigau, 19020434 Hồ Mạnh Tân, RODRIGO AGERRI GASCON
Publikováno v:
Knowledge-Based Systems. 79:36-42
Requirements in computational power have grown dramatically in recent years. This is also the case in many language processing tasks, due to the overwhelming and ever increasing amount of textual information that must be processed in a reasonable tim
Publikováno v:
Scopus-Elsevier
Recercat. Dipósit de la Recerca de Catalunya
instname
Recercat. Dipósit de la Recerca de Catalunya
instname
We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines shallow local information with clustering semi-supervised features induced on large amounts o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29cd3ab2cc49c8e260bb7a6dab69853e
http://arxiv.org/abs/1701.09123
http://arxiv.org/abs/1701.09123
Publikováno v:
Perspectives in Conceptual Modeling ISBN: 9783540293958
ER (Workshops)
ER (Workshops)
The ability to communicate is one of the crucial properties of agents. In this paper a normative approach to the pragmatics of Agent Communication Languages (ACLs) is proposed. In an open environment, like the Internet, in which agents are designed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b88c9df76a67f854e4cef1bbde8cf8cf
https://doi.org/10.1007/11568346_19
https://doi.org/10.1007/11568346_19
Publikováno v:
Scopus-Elsevier
In this research note we present a language independent system to model Opinion Target Extraction (OTE) as a sequence labelling task. The system consists of a combination of clustering features implemented on top of a simple set of shallow local feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69986fdfee318004d7501dd12568ef8e
http://www.scopus.com/inward/record.url?eid=2-s2.0-85097344949&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85097344949&partnerID=MN8TOARS