Abstract
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language text. SRL requires additional information besides lexical and syntactical features to recognize the candidate arguments better. This paper investigates the use of Lexical Relation Pair (LRP) information for the task of Event Construction Extraction. Experimental results show that introducing LRP features can achieve some improvements. Further experiments indicate that using automatically extracted LRPs can obtain even better performance than manually annotated ones. This observation enables the large-scale usage of LRPs in the future. © 2012 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Chen, L., Zhou, Q., & Wang, H. (2012). Improving chinese event construction extraction with lexical relation pairs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7337 LNCS, pp. 314–319). https://doi.org/10.1007/978-3-642-31178-9_40
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
