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Automatic creation of a reference corpus for political opinion mining in user-generated content
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In: http://paginas.fe.up.pt/~las/conteudo/pub/pln/tsa_2009/tsa22-sarmento.pdf (2009)
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The design of OPTIMISM, an opinion mining system for Portuguese politics
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In: http://paginas.fe.up.pt/~niadr/PUBLICATIONS/2009/epia2009-OPTIMISM-submitted.pdf (2009)
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BACO - A large database of text and co-occurrences
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In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/195_pdf.pdf (2006)
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Corpus Analysis for Indexing: when corpus-based terminology makes a difference
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In: http://www.linguateca.pt/Diana/download/OliveiraetalCL2005.pdf (2005)
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CORPÓGRAFO a web-based environment for corpora research', Poster presented at the LREC 2004 conference
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In: http://www.lrec-conf.org/proceedings/lrec2004/pdf/236.pdf (2004)
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The Corpgrafo -- a Web-based environment for corpora research
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In: http://www.linguateca.pt/Diana/download/SarmentoMaiaSantosLREC2004.pdf (2004)
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Emotional valence-based mechanisms and agent personality
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In: http://paginas.fe.up.pt/~las/conteudo/pub/agentes/oliveira_sarmento_sbia02.pdf (2002)
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A simple and robust method for extracting terminology
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In: http://poloclup.linguateca.pt/docs/meta/META-Sarmento.pdf
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Miscellaneous
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In: http://www.science.uva.nl/~mdr/Publications/Files/cikm2007.pdf
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A simple and robust method for extracting terminology
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In: http://www.erudit.org/livre/meta/2005/000263co.pdf
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REPENTINO – A Wide-Scope Gazetteer for Entity Recognition in Portuguese
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In: http://www.linguateca.pt/documentos/SarmentoPintoCabral2006PROPORSpringer.pdf
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BACO – A large database of text and co-occurrences
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In: http://www.linguateca.pt/documentos/SarmentoLREC2006_BACO.pdf
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Automatic Creation of a Reference Corpus for Political Opinion Mining in User-Generated Content ABSTRACT
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In: http://xldb.fc.ul.pt/xldb/publications/sarmento09_document.pdf
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Exploring the Vector Space Model for Finding Verb Synonyms in Portuguese
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In: http://paginas.fe.up.pt/~las/conteudo/pub/pln/ranlp_2009/sarmento_el_al_ranlp_2009.pdf
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Abstract:
We explore the performance of the Vector Space Model (VSM) in finding verb synonyms in Portuguese by analyzing the impact of three operating parameters: (i) the weighting function, (ii) the context window used for automatically extracting features, and (iii) the minimum number of vector features. We rely on distributional statistics taken from a large n-gram database to build feature vectors, using minimal linguistic pre-processing. Automatic evaluation of synonym candidates using gold-standard information from the OpenOffice and Wiktionary thesaurus shows that low frequency features carry most information regarding verb similarity, and that a [0, +2] window carries more information than a [-2, 0] window. We show that satisfactory precision levels require vectors with 50 or more non-nil components. Manual evaluation over a set of declarative verbs and psychological verbs show that VSM-based approaches achieve good precision in finding verb synonyms for Portuguese, evenwhen using minimal linguistic knowledge. This lead us to proposing a performance baseline for this task.
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Keyword:
Evaluation; Language Resources; Relation Extraction; Semantics; Statistical Methods
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URL: http://paginas.fe.up.pt/~las/conteudo/pub/pln/ranlp_2009/sarmento_el_al_ranlp_2009.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.7217
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The Design of OPTIMISM, an Opinion Mining System for Portuguese Politics
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In: http://epia2009.web.ua.pt/onlineEdition/565.pdf
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