Using Dominance Chains to Detect Annotation Variants in Parsed Corpora

Autor(es)

Faria, Pablo ; New York Acad Sci

• Tipo de documento: Artigo Científico
• Fonte: 2014 IEEE 10TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE), VOL 1; v. N/A, p. 8-pg., 2014-01-01.

Resumo

In this paper, some results on the detection of variation in annotation in parsed corpora or treebanks are presented. Treebanks are generally built by means of using both automatic tools (i.e., taggers and parsers) and human intervention. In this process, inconsistencies (and, thus, variation) in the annotation arise, caused by a number of factors, for instance, disagreement in interpretation, incomplete or unclear annotation guidelines, etc. In this study, the algorithm for automatic detection of variation proposed in [1] is evaluated against the Tycho Brahe Corpus (TBC, [2]) and compared to an alternative implementation where variants of annotation are characterized by means of "dominance chains". Experimental results demonstrate that the modified version has better relative precision and recall than the original method. (AU)

• Processo FAPESP: 13/18090-6 - Estudo e desenvolvimento de métodos para detecção e correção automática de erros e inconsistências em corpora sintaticamente anotados
• Beneficiário: Pablo Picasso Feliciano de Faria
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado