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- item-1 hasContent ruifeng-xu.
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- item-2 hasContent yunqing-xia.
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- 418 creator asuncion-gomez-perez.
- 418 creator daniel-borrajo.
- 418 creator david-manzano-macho.
- 418 type InProceedings.
- 418 label "Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence".
- 418 sameAs 418.
- 418 abstract "Acquiring knowledge from the Web to build domain ontologies has become a common practice in the Ontological Engineering field. The vast amount of freely available information allows collecting enough information about any domain. However, the Web usually suffers a lack of structure, untrustworthiness and ambiguity of the content. These drawbacks hamper the application of unsupervised methods of building ontologies demanded by the increasingly popular applications of the Semantic Web. We believe that the combination of several processing mechanisms and complementary information sources may potentially solve the problem. The analysis of different sources of evidence allows determining with greater reliability the validity of the detected knowledge. In this paper, we present GALeOn (General Architecture for Learning Ontologies) that combines sources and processing resources to provide complementary and redundant evidence for making better estimations about the relevance of the extracted knowledge and their relationships. Our goal in this paper is to show how combining several information sources and extraction mechanisms is possible to build a taxonomy of concepts with a higher accuracy than if only one of them is applied. The experimental results show how this combination notably increases the precision of the obtained results with minimum user intervention.".
- 418 hasAuthorList authorList.
- 418 hasTopic Linguistics.
- 418 isPartOf proceedings.
- 418 keyword "Ontologies".
- 418 keyword "Semantic Web".
- 418 keyword "Text mining".
- 418 title "Unsupervised and Domain Independent Ontology Learning: Combining Heterogeneous Sources of Evidence".
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- item-1 hasContent david-manzano-macho.
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- item-2 hasContent asuncion-gomez-perez.
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- 419 creator christian-heinrich.
- 419 creator florian-schiel.
- 419 creator sabine-barfuesser.
- 419 creator thomas-gilg.
- 419 type InProceedings.
- 419 label "ALC: Alcohol Language Corpus".
- 419 sameAs 419.
- 419 abstract "A number of forensic studies published during the last 50 years report that intoxication with alcohol influences speech in a way that is made manifest in certain features of the speech signal. However, most of these studies are based on data that are not publicly available nor of statistically sufficient size. Furthermore, in spite of the positive reports nobody ever successfully implemented a method to detect alcoholic intoxication from the speech signal. The Alcohol Language Corpus (ALC) aims to answer these open questions by providing a publicly available large and statistically sound corpus of intoxicated and sober speech. This paper gives a detailed description of the corpus features and methodology. Also, we will present some preliminary results on a series of verifications about reported potential features that are claimed to reliably indicate alcoholic intoxication.".
- 419 hasAuthorList authorList.
- 419 hasTopic Linguistics.
- 419 isPartOf proceedings.
- 419 keyword "Corpus (creation, annotation, etc.)".
- 419 keyword "Phonetic Databases, Phonology".
- 419 keyword "Speech resource/database".
- 419 title "ALC: Alcohol Language Corpus".
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- item-1 hasContent florian-schiel.
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- 42 creator marta-villegas.
- 42 creator montserrat-marimon.
- 42 creator nuria-bel.
- 42 creator sergio-espeja.
- 42 type InProceedings.
- 42 label "COLDIC, a Lexicographic Platform for LMF compliant lexica".
- 42 sameAs 42.
- 42 abstract "Despite of the importance of lexical resources for a number of NLP applications (Machine Translation, Information Extraction, Question Answering, among others), there has been a traditional lack of generic tools for the creation, maintenance and management of computational lexica. The most direct obstacle for the development of generic tools, independent of any particular application format, was the lack of standards for the description and encoding of lexical resources. The availability of the Lexical Markup Framework (LMF) has changed this scenario and has made it possible the development of generic lexical platforms. COLDIC is a generic platform for working with computational lexica. The system has been designed to let the user concentrate on lexicographical tasks, but still being autonomous in the management of the tools. The creation and maintenance of the database, which is the core of the tool, demand no specific training in databases. A LMF compliant schema implemented in a Document Type Definition (DTD) describing the lexical resources is taken by the system to automatically configure the platform. Besides, the most standard web services for interoperability are also generated automatically. Other components of the platform include build-in functions supporting the most common tasks of the lexicographic work.".
- 42 hasAuthorList authorList.
- 42 hasTopic Linguistics.
- 42 isPartOf proceedings.
- 42 keyword "LR web services".
- 42 keyword "Lexicon, lexical database".
- 42 keyword "Standards for LRs".
- 42 title "COLDIC, a Lexicographic Platform for LMF compliant lexica".
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