6533b86efe1ef96bd12cbc38

RESEARCH PRODUCT

Part-of-speech labeling for Reuters database

Radu George CretulescuLucian VintanDaniel MorariuA. David

subject

Information retrievalbusiness.industryComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALVerbAdverbSpace (commercial competition)Part of speechcomputer.software_genreSequence labelingNounVector space modelArtificial intelligencebusinesscomputerAdjectiveNatural language processing

description

Even if the Vector Space Model used for document representation in information retrieval systems integrates a small quantity of knowledge it continues to be used due to its computational cost, speed execution and simplicity. We try to improve this document representation by adding some syntactic information such as the parts of speech. In this paper, we have evaluated three different tagging algorithms in order to select the most suitable tagger for using it to tag the Reuters dataset. In this work, we have evaluated the taggers using only five different parts of speech: noun, verb, adverb, adjective and others. We considered these particular tags being the most representative for describing the documents into these parts of speech space.

yearjournalcountryeditionlanguage
2015-10-012015 19th International Conference on System Theory, Control and Computing (ICSTCC)
https://doi.org/10.1109/icstcc.2015.7321279