2009
DOI: 10.1109/stil.2009.8
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Abstract: The construction of terminological products is important to the organization and spreading of knowledge. This task can be leveraged by the automatic extraction of terms, which has been considered a Natural Language Processing problem. In this paper, the interaction between the statistical approach to term extraction and the process of stopword removal is investigated. Experiments conducted on two corpora show that stopword removal improves performance when extracting bigram terms, no matter if the removal is …

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