Mining methodologies from NLP publications: A case study in automatic terminology recognition
Computer Speech and Language
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We describe an approach to pattern-based expertise topic extraction from publicly available scientific publications using Google Scholar. The approach is based on the observation that in the scientific text genre expertise topics will occur frequently in the context of particular phrasings that introduce them, such as 'method for', 'approach to', etc. The extracted knowledge can be used to analyze research structure in terms of expertise topics, researchers associated with these and relations between them.