Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Clarissa Castellã Xavier"'
Publikováno v:
Information, Vol 10, Iss 7, p 228 (2019)
The number of documents published on the Web in languages other than English grows every year. As a consequence, the need to extract useful information from different languages increases, highlighting the importance of research into Open Information
Externí odkaz:
https://doaj.org/article/91ff4ad0fe11444bad53c5e575849e4d
Autor:
Marlo Souza, Clarissa Castellã Xavier
Publikováno v:
Special Topics in Multimedia, IoT and Web Technologies ISBN: 9783030351014
Twitter is a social network and microblogging service where registered users read and post messages called tweets. Tweets have a maximum of 280 characters and cover every conceivable subject, from simple activity updates and news coverage to opinions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26622d35a9b75c3800119003371883e3
https://doi.org/10.1007/978-3-030-35102-1_7
https://doi.org/10.1007/978-3-030-35102-1_7
Publikováno v:
Information, Vol 10, Iss 7, p 228 (2019)
Information
Volume 10
Issue 7
Information
Volume 10
Issue 7
The number of documents published on the Web in languages other than English grows every year. As a consequence, the need to extract useful information from different languages increases, highlighting the importance of research into Open Information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a06772d49936999ec5b690b935991b
https://www.mdpi.com/2078-2489/10/7/228
https://www.mdpi.com/2078-2489/10/7/228
Autor:
Clarissa Castellã Xavier
Publikováno v:
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).
In this paper we present a study about polarity classification of tweets in the traffic domain. Specifically, we use the data in Portuguese language from an account maintained by a traffic management agency. We evaluate the performance of three learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a56518a0c78ebbffad15b739fc8fdf3
https://doi.org/10.5753/eniac.2018.4417
https://doi.org/10.5753/eniac.2018.4417
Autor:
Marlo Souza, Clarissa Castellã Xavier
Publikováno v:
WebMedia
Twitter is a social network and microblogging service in which registered users read and post messages called Tweets. Tweets have a maximum of 280 characters and cover every conceivable subject, from simple activity updates and news coverage to opini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cc45e0c09bd6e6c316d3db5d94eed7f
https://doi.org/10.1145/3243082.3264606
https://doi.org/10.1145/3243082.3264606
Autor:
Clarissa Castellã Xavier, Marlo Souza
Publikováno v:
Minicursos do XXIV Simpósio Brasileiro de Sistemas Multimídia e Web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4596915dd591ca1397476459fc0c1b68
https://doi.org/10.5753/sbc.455.7.02
https://doi.org/10.5753/sbc.455.7.02
Publikováno v:
Journal of the Brazilian Computer Society. 17:103-116
Biomedical Named Entities (NEs) are phrases or combinations of phrases that denote specific objects or groups of objects in the biomedical literature. Research on Named Entity Recognition (NER) is one of the most disseminated activities in the automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b4b0e962d90b950a4091aa2264da1f3
https://doi.org/10.1007/s13173-011-0031-9
https://doi.org/10.1007/s13173-011-0031-9
Publikováno v:
Journal of the Brazilian Computer Society. 21
Open Information Extraction (Open IE) aims to obtain not predefined, domain-independent relations from text. This article introduces the Open IE research field, thoroughly discussing the main ideas and systems in the area as well as its main challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b690387eea9e03e51c9d1821b97c7c
https://doi.org/10.1186/s13173-015-0023-2
https://doi.org/10.1186/s13173-015-0023-2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642288845
PROPOR
PROPOR
This paper describes a method for automatically extracting domain semantic networks of concepts connected by non-specific relations from Wikipedia. We propose an approach based on category and link structure analysis. The method consists of two main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbcdc18a1a5f6ac6a91bb02ab7cdaaa
https://doi.org/10.1007/978-3-642-28885-2_10
https://doi.org/10.1007/978-3-642-28885-2_10
Publikováno v:
Advances in Artificial Intelligence – SBIA 2010 ISBN: 9783642161377
SBIA
SBIA
The increasing need for ontologies and the difficulties of manual construction give place to initiatives proposing methods for automatic and semi-automatic ontology learning. In this work we present a semi-automatic method for domain ontologies extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4907da78193d840f288a36efcae32ba
https://doi.org/10.1007/978-3-642-16138-4_2
https://doi.org/10.1007/978-3-642-16138-4_2