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