DocumentCode :
506638
Title :
Trancript mining using epistemic agents and interrogative entailment
Author :
Hughes, Cameron ; Hughes, Tracey
Author_Institution :
Ctest Labs., Youngstown, OH, USA
Volume :
1
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
857
Lastpage :
861
Abstract :
Our current work is directed toward the mining and analysis of interrogative transcripts stored in digital form. In particular, we are interested in excavating the propositions and assertions that are implicit or entailed within the discourse of trial transcripts, law enforcement interrogations, congressional and other types of legal hearings. We are investigating the use of epistemic agents to mine and then perform epistemological analysis that can be used as the basis for understanding the consistency, validity, and soundness of the transcript as a whole. We use interrogative entailment as a mining process to qualify the credential of the transcript. In this paper, we describe the structure of our epistemic agents and the transcript mining process used to excavate statements that are entailed and inferred in the content of transcripts.
Keywords :
data mining; law administration; multi-agent systems; text analysis; epistemic agents; epistemological analysis; interrogative entailment; law enforcement interrogations; legal hearings; prepositional knowledge; text mining; transcript mining process; trial transcripts; Auditory system; Law enforcement; Legal factors; Performance analysis; agents; epistemic structures; epistemological analysis; epistemology; interrogative transcript; propositional knowledge; text mining; transcript mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358042
Filename :
5358042
Link To Document :
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