Affiliations: Department of Mathematics, Indian Institute of Technology Delhi, Hauz Khas, Delhi, India
Correspondence:
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Corresponding author. Raksha Agarwal, Department of Mathematics, Indian Institute of Technology Delhi, Hauz Khas, Delhi-110016, India. E-mail: raksha.agarwal@maths.iitd.ac.in.
Abstract: The present paper proposes a fuzzy inference system for query-focused multi-document text summarization (MTS). The overall scheme is based on Mamdani Inferencing scheme which helps in designing Fuzzy Rule base for inferencing about the decision variable from a set of antecedent variables. The antecedent variables chosen for the task are from linguistic and positional heuristics, and similarity of the documents with the user-defined query. The decision variable is the rank of the sentences as decided by the rules. The final summary is generated by solving an Integer Linear Programming problem. For abstraction coreference resolution is applied on the input sentences in the pre-processing step. Although designed on the basis of a small set of antecedent variables the results are very promising.
Keywords: Query-focused text summarization, mamdani fuzzy inference, text similarity, fuzzy ranking, integer linear programming
