TY - JOUR
T1 - Whole-part relations rule-based automatic identification
T2 - Issues from fine-grained error analysis
AU - Markov, I.
AU - Mamede, N.
AU - Baptista, J.
PY - 2014
Y1 - 2014
N2 - © Springer International Publishing Switzerland 2014.In this paper, we focus on the most frequent errors that occurred during the implementation of a rule-based module for semantic relations extraction, which has been integrated in STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese. We focus on whole-part relations (meronymy), that is, a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set. In this case, we target the type of meronymy involving human entities and body-part nouns. We describe with some detail the decisions that were made in order to overcome the errors produced by the system and the solutions adopted to improve its performance.
AB - © Springer International Publishing Switzerland 2014.In this paper, we focus on the most frequent errors that occurred during the implementation of a rule-based module for semantic relations extraction, which has been integrated in STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese. We focus on whole-part relations (meronymy), that is, a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set. In this case, we target the type of meronymy involving human entities and body-part nouns. We describe with some detail the decisions that were made in order to overcome the errors produced by the system and the solutions adopted to improve its performance.
U2 - 10.1007/978-3-319-13647-9_5
DO - 10.1007/978-3-319-13647-9_5
M3 - Article
SN - 0302-9743
VL - 8856
SP - 37
EP - 50
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -