| { |
| "paper_id": "U07-1001", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T03:08:58.382999Z" |
| }, |
| "title": "Text Mining Techniques for Building a Biolexicon", |
| "authors": [ |
| { |
| "first": "Sophia", |
| "middle": [], |
| "last": "Ananiadou", |
| "suffix": "", |
| "affiliation": { |
| "laboratory": "", |
| "institution": "The University of Manchester", |
| "location": {} |
| }, |
| "email": "sophia.ananiadou@manchester.ac.uk" |
| } |
| ], |
| "year": "", |
| "venue": null, |
| "identifiers": {}, |
| "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.", |
| "pdf_parse": { |
| "paper_id": "U07-1001", |
| "_pdf_hash": "", |
| "abstract": [ |
| { |
| "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", |
| "sec_num": null |
| } |
| ], |
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| } |
| } |
