Statement map: assisting information crediblity analysis by visualizing arguments
Proceedings of the 3rd workshop on Information credibility on the web
Annotating semantic relations combining facts and opinions
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Statement map: reducing web information credibility noise through opinion classification
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
Leveraging Diverse Lexical Resources for Textual Entailment Recognition
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
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In this paper, we present a database of logical relations between predicate argument structures (PASs) in Japanesefor recognizing relations between statements.We have defined nine logical relations between PASsand manually collected argument structures and logical relations for verbs from definition sentences in a machine-readable Japanese dictionary.In addition, we augmented the relations in our database with a thesaurus of verb argument structures,which identifies synonymy and antonymy between PASs.Our database consists of 29,555 entries and 45,905 relations between PASs.In a preliminary experiment with this database,we constructed a system that recognizes synonymy between PASs in Web documentswith a precision of about 0.80.