TY - GEN
T1 - Co-Reference Resolution for the Indonesian Language Using Association Rules.
AU - Budi, Indra
PY - 2006
Y1 - 2006
N2 - Abstract In this paper, we proposed a co-reference resolution method for texts in the Indonesian language. The objective of co-reference resolution is to identify equivalence between entities as well as between pronouns and entities that were recognized in a named entity recognition phase. We propose a method that uses association rules. The method combines several features, such as pronoun and name classes, string similarity and position in the text, into a vector of attributes. Applied to a corpus of newspaper articles in the Indonesian language, the method yields an FMeasure of 84.12%. we compare the result to one of state-of-the-art machine learning method for co-reference resolution, decision tree, and the result is comparable.
AB - Abstract In this paper, we proposed a co-reference resolution method for texts in the Indonesian language. The objective of co-reference resolution is to identify equivalence between entities as well as between pronouns and entities that were recognized in a named entity recognition phase. We propose a method that uses association rules. The method combines several features, such as pronoun and name classes, string similarity and position in the text, into a vector of attributes. Applied to a corpus of newspaper articles in the Indonesian language, the method yields an FMeasure of 84.12%. we compare the result to one of state-of-the-art machine learning method for co-reference resolution, decision tree, and the result is comparable.
UR - https://www.researchgate.net/publication/221237337_Co-Reference_Resolution_for_the_Indonesian_Language_Using_Association_Rules
M3 - Conference contribution
BT - International Conference on Information Integration and Web-based Applications & Services
ER -