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UIUC_RuleBased: Sbdlrhmn: A rule-based human interpretation system for semantic textual similarity task

Full APA Reference

AbdelRahman, S. E., & Blake, C. (2012, June). UIUC_RuleBased: Sbdlrhmn: A rule-based human interpretation system for semantic textual similarity task. Workshop on Semantic Evaluation at SemEval 2012: Semantic Evaluation Exercises, Montreal, Canada.

Publication Abstract

In this paper, we describe our two runs as participations in SEMEVAL12, Pilot Semantic Textual Similarity Task, Task-6. The proposed runs, named a rule-based and Cosine Similarity-based, measure the degree of semantic equivalence between pair of sentences. The rule-based system utilizes sentence structure and semantics to compute the pair semantic relatedness. Its rules are a set of decisions representing the human interpretations of the sentence pair contents. As one of its main goals, the system suggests a set of domain-free rules to help the human annotator in scoring semantic equivalence of two sentences. Our Cosine Similarity-based run studies the effect of considering the sentence pair word syntaxes only on their semantic relatedness score.

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