Title :
Retrieving abstract information from multi-party conversations
Author :
Ranathunga, Surangika
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Moratuwa Katubedda, Moratuwa, Sri Lanka
Abstract :
This paper presents the use of dialog acts and addressee information in extracting domain-specific abstract information from multi-party conversations. Identification of dialog acts and addressee information is done in a domain-independent manner. This information is then used with a domain-specific rule set for identifying abstract information in chat conversations. To retrieve abstract information from a conversation in a new domain, the only requirement is to define a new rule set. This eliminates the need of domain-specific corpora. This paper also presents an improved version of a commonly used addressee recognition algorithm.
Keywords :
abstracting; information retrieval; interactive systems; learning (artificial intelligence); abstract information retrieval; addressee information; addressee recognition algorithm; chat conversations; dialog acts; domain-specific abstract information; domain-specific rule set; machine learning; multiparty conversations; rule-based algorithms; Boolean functions; Data structures; Noise measurement; addressee recognition; dialog act recognition; natural language processing;
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on
Print_ISBN :
978-1-4799-7731-4
DOI :
10.1109/ICTER.2014.7083905