Title :
Automated Inference of Socio-Cultural Information from Natural Language Conversations
Author :
Scherl, Richard ; Inclezan, Daniela ; Gelfond, Michael
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Monmouth Univ., West Long Branch, NJ, USA
Abstract :
We discuss a methodology for extracting socio-cultural information from transcripts of natural language conversations. The methodology is applicable to a wide variety of languages. We use Russian and Tamil for illustration. The extracted socio-cultural information pertains to the nature of the relationship between the participants in the interaction. We concentrate on the information implicit in the use of terms that refer to people (pronouns, terms of address etc.). We have constructed an AnsProlog theory of the use of these language indicators in Russian and also in Tamil. It is this theory that looks at the usages of these indicators in the conversation in question and produces information about the relationships of the participants in the conversation.
Keywords :
inference mechanisms; information retrieval; natural language processing; socio-economic effects; AnsProlog theory; Russian; Tamil; natural language conversations; socio-cultural information extraction; Cognition; Construction industry; Context; Data mining; Natural languages; Pragmatics; Speech;
Conference_Titel :
Social Computing (SocialCom), 2010 IEEE Second International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-8439-3
Electronic_ISBN :
978-0-7695-4211-9
DOI :
10.1109/SocialCom.2010.76