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{ |
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"paper_id": "U07-1001", |
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"header": { |
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"generated_with": "S2ORC 1.0.0", |
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"date_generated": "2023-01-19T03:08:58.382999Z" |
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}, |
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"title": "Text Mining Techniques for Building a Biolexicon", |
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"authors": [ |
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{ |
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"first": "Sophia", |
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"middle": [], |
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"last": "Ananiadou", |
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"suffix": "", |
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"affiliation": { |
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"laboratory": "", |
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"institution": "The University of Manchester", |
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"location": {} |
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}, |
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"email": "[email protected]" |
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} |
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], |
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"year": "", |
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"venue": null, |
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"identifiers": {}, |
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"abstract": "My talk will focus on building a biolexicon by leveraging existing bio-resources, combining them within a common, standardized lexical, terminological, conceptual representation framework and employing advanced NL technologies to discover new terms, concepts, relations and linguistic lexical information from text. In particular I will discuss term normalisation techniques, named entity recognition and a smart dictionary look up. This research forms part of the National Centre for Text Mining (www.nactem.ac.uk) and the project BOOTStrep.", |
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"paper_id": "U07-1001", |
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"abstract": [ |
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{ |
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"text": "My talk will focus on building a biolexicon by leveraging existing bio-resources, combining them within a common, standardized lexical, terminological, conceptual representation framework and employing advanced NL technologies to discover new terms, concepts, relations and linguistic lexical information from text. In particular I will discuss term normalisation techniques, named entity recognition and a smart dictionary look up. This research forms part of the National Centre for Text Mining (www.nactem.ac.uk) and the project BOOTStrep.", |
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"section": "Abstract", |
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} |
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} |