An information-retrieval approach to language modeling: applications to social data

Authors:
Juan M. Huerta
Affiliations:
IBM T. J. Watson Research Center, Yorktown Heights, NY
Venue:
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Year:
2010

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Abstract

In this paper we propose the IR-LM (Information Retrieval Language Model) which is an approach to carrying out language modeling based on large volumes of constantly changing data as is the case of social media data. Our approach addresses specific characteristics of social data: large volume of constantly generated content as well as the need to frequently integrating and removing data from the model.