sArAmsha - A Kannada abstractive summarizer

Abstract

Abstractive summarization has been explored only to some extent in recent years in English, Japanese and other foreign languages. This paper shows that abstraction can be accomplished for Indian Languages, specifically Kannada, using guided summarization approach. The sArAmsha system involves analyzing the given Kannada document and performing parts of speech tagging and stemming operations, identification of named entities such as person, location and date, usage of abstraction schemes and Information Extraction (IE) rules created by hand to extract information and finally, creation of a summary by forming sentences based on domain templates. The method can be expanded to a large variety of categories and complexities to deal with more aspects in the future.