Cause and Effect Extraction from Biomedical Corpus



Document title: Cause and Effect Extraction from Biomedical Corpus
Journal: Computación y sistemas
Database: PERIÓDICA
System number: 000423293
ISSN: 1405-5546
Authors: 1
1
Institutions: 1Anna University, AU-KBC Research Centre, Chennai, Tamil Nadu. India
Year:
Season: Oct-Dic
Volumen: 21
Number: 4
Country: México
Language: Inglés
Document type: Artículo
Approach: Aplicado, descriptivo
English abstract The objective of the present work is to automatically extract the cause and effect from discourse analyzed biomedical corpus. Cause-effect is defined as a relation established between two events, where first event acts as the cause of second event and the second event is the effect of first event. Any causative constructions need three components, a causal marker, cause and effect. In this study, we consider the automatic extraction of cause and effect realized by explicit discourse connective markers. We evaluated our system using BIONLP/NLPBA 2004 shared task test data and obtained encouraging results
Disciplines: Ciencias de la computación,
Literatura y lingüística
Keyword: Lingüística aplicada,
Análisis del discurso,
Causa-efecto,
Discurso conectivo,
Entidad causal,
Reconocimiento de entidades
Keyword: Applied linguistics,
Discourse analysis,
Cause-effect,
Discourse connective,
Causal entity,
Named entity recognition
Full text: Texto completo (Ver HTML) Texto completo (Ver PDF)