Article | Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16 | Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg
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Title:
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg
Author:
Hideyuki Tanushi: Dept. Of Computer and Systems Sciences (DSV), Stockholm University, Kista, Sweden Hercules Dalianis: Dept. of Computer and Systems Sciences (DSV), Stockholm University, Kista, Sweden Martin Duneld: Dept. of Computer and Systems Sciences (DSV), Stockholm University, Kista, Sweden Maria Kvist: Dept. of Computer and Systems Sciences (DSV), Stockholm University, Kista, Sweden and Dept. of clinical immunology and transfusion medicine, Karolinska University Hospital, Stockholm, Sweden Maria Skeppstedt: Dept. of Computer and Systems Sciences (DSV), Stockholm University, Kista, Sweden Sumithra Velupillai: Dept. of Computer and Systems Sciences (DSV), Stockholm University, Kista, Sweden
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Full text (pdf)
Year:
2013
Conference:
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Issue:
085
Article no.:
035
Pages:
387-397
No. of pages:
11
Publication type:
Abstract and Fulltext
Published:
2013-05-17
ISBN:
978-91-7519-589-6
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Negation detection is a key component in clinical information extraction systems; as health record text contains reasonings in which the physician excludes different diagnoses by negating them. Many systems for negation detection rely on negation cues (e.g. not); but only few studies have investigated if the syntactic structure of the sentences can be used for determining the scope of these cues. We have in this paper compared three different systems for negation detection in Swedish clinical text (NegEx; PyConTextNLP and SynNeg); which have different approaches for determining the scope of negation cues. NegEx uses the distance between the cue and the disease; PyConTextNLP relies on a list of conjunctions limiting the scope of a cue; and in SynNeg the boundaries of the sentence units; provided by a syntactic parser; limit the scope of the cues. The three systems produced similar results; detecting negation with an F-score of around 80%; but using a parser had advantages when handling longer; complex sentences or short sentences with contradictory statements.

Keywords: Clinical text; negation detection; syntactic analysis

Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Hideyuki Tanushi, Hercules Dalianis, Martin Duneld, Maria Kvist, Maria Skeppstedt, Sumithra Velupillai
Title:
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg
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Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Hideyuki Tanushi, Hercules Dalianis, Martin Duneld, Maria Kvist, Maria Skeppstedt, Sumithra Velupillai
Title:
Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx; PyConTextNLP and SynNeg
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