Paper Info
Title
Bridging the gap between domain-oriented and linguistically-oriented semantics
Abstract
This paper compares domain-oriented and linguistically-oriented semantics, based on the GENIA event corpus and FrameNet. While the domain-oriented semantic structures are direct targets of Text Mining (TM), their extraction from text is not straghtforward due to the diversity of linguistic expressions. The extraction of linguistically-oriented semactics is more straghtforward, and has been studied independentely of specific domains. In order to find a use of the domain-independent research achievements for TM, we aim at linking classes of the two types of semantics. The classes were connected by analyzing linguistically-oriented semantics of the expressions that mention one biological class. With the obtained relationship between the classes, we discuss a link between TM and linguistically-oriented semantics.
Year
Venue
Keywords
2009
BioNLP@HLT-NAACL
linguistically-oriented semantics,biological class,text mining,genia event corpus,specific domain,direct target,linguistic expression,domain-independent research achievement,domain-oriented semantic structure,linguistically-oriented semactics
DocType
Citations 
PageRank 
Conference
3
0.56
References 
Authors
8
3
Name
Order
Citations
PageRank
Sumire Uematsu182.33
Jin-Dong Kim2170592.21
Jun'ich Tsujii371.01