The accurate recognition of modal information is vital for the correct interpretation of statements. In this paper, we report on the collection a list of words and phrases that express modal information in biomedical texts, and propose a categorisation scheme according to the type of information conveyed. We have performed a small pilot study through the annotation of 202 MEDLINE abstracts according to our proposed scheme. Our initial results suggest that modality in biomedical statements can be predicted fairly reliably though the presence of particular lexical items, together with a small amount of contextual information.

Categorising Modality in Biomedical Texts

Venturi G;Montemagni S;
2008

Abstract

The accurate recognition of modal information is vital for the correct interpretation of statements. In this paper, we report on the collection a list of words and phrases that express modal information in biomedical texts, and propose a categorisation scheme according to the type of information conveyed. We have performed a small pilot study through the annotation of 202 MEDLINE abstracts according to our proposed scheme. Our initial results suggest that modality in biomedical statements can be predicted fairly reliably though the presence of particular lexical items, together with a small amount of contextual information.
2008
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Inglese
LREC 2008, Sixth International Conference on Language Resources and Evaluation: Workshop 'Building and Evaluating Resources for Biomedical Text Mining'
27
34
2-9517408-4-0
Sì, ma tipo non specificato
26 maggio 2008
Marrakech, Marocco
Biomedical texts
Modality
5
none
Thompson, P; Venturi, G; Mcnaught, J; Montemagni, S; Ananiadou, S
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/65081
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