An Effective Approach for AESOP and Guided Summarization Task

In this paper we, present (1) an unsupervised system for AESOP task and (2) a generic multi-document summarization system for guided summarization task. We propose the use of: (1) the role and importance of words and sentences in document and, (2) number and coverage strength of topics in document for both AESOP and Guided summarization task. We also use some other statistical features, simple heuristics and grammatical facts to capture the important facts and information from source document(s). Our devised system for AESOP Task uses the above discussed features to judge the summary quality. We believe that, the output of a good generic system may be able to answer the most of the general queries, which are used in guided summarization task. This is main reason for the development of a generic multi-document summarization system for guided summarization task. Part-1: AESOP Task