DocumentCode
3756480
Title
Adaptation of Discourse Parsing Models for the Portuguese Language
Author
Erick G. Maziero;Graeme Hirst;Thiago A.S. Pardo
Author_Institution
Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada
fYear
2015
Firstpage
140
Lastpage
145
Abstract
Discourse parsing in Portuguese has two critical limitations. The first is that the task has been explored using only symbolic approaches, i.e., Using manually extracted lexical patterns. The second is related to the domain of the lexical patterns, which were extracted through the analysis of a corpus of academic texts, generating many domain-specific patterns. For English, many approaches have been explored using machine learning with features based on a prominent lexicon-syntax notion of dominance sets. In this paper, two works were adapted to Portuguese, improving the results, outperforming the baselines and previous works for Portuguese, considering the task of rhetorical relation identification.
Keywords
"Syntactics","Magnetic heads","Satellites","Feature extraction","Machine learning algorithms","Adaptation models","Natural language processing"
Publisher
ieee
Conference_Titel
Intelligent Systems (BRACIS), 2015 Brazilian Conference on
Type
conf
DOI
10.1109/BRACIS.2015.24
Filename
7424009
Link To Document