Bacteria Biotope Detection, Ontology-based Normalization, and Relation Extraction using Syntactic Rules


Karadeniz İ., ÖZGÜR TÜRKMEN A.

2013 Workshop on Biomedical Natural Language, BioNLP 2013, Sofija, Bulgaristan, 09 Ekim 2013, cilt.2013-October, ss.170-177, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2013-October
  • Basıldığı Şehir: Sofija
  • Basıldığı Ülke: Bulgaristan
  • Sayfa Sayıları: ss.170-177
  • Galatasaray Üniversitesi Adresli: Hayır

Özet

The absence of a comprehensive database of locations where bacteria live is an important obstacle for biologists to understand and study the interactions between bacteria and their habitats. This paper reports the results to a challenge, set forth by the Bacteria Biotopes Task of the BioNLP Shared Task 2013. Two systems are explained: Sub-task 1 system for identifying habitat mentions in unstructured biomedical text and normalizing them through the OntoBiotope ontology and Sub-task 2 system for extracting localization and part-of relations between bacteria and habitats. Both approaches rely on syntactic rules designed by considering the shallow linguistic analysis of the text. Sub-task 2 system also makes use of discourse-based rules. The two systems achieve promising results on the shared task test data set.