IIIT Hyderabad at TAC 2009
نویسندگان
چکیده
In this paper, we report our participation in Update Summarization, Knowledge Base Population and Recognizing Textual Entailment at TAC 2009. This year, we enhanced our basic summaization system with support vector regression to better estimate the combined affect of different features in ranking. A Novelty measure is devised to effectively capture relevance and novelty of a term. For Knowledge Base Population, we analyzed IR approaches and Naive Bayes Classification with Phrase and Token searches. Finally for RTE, we extract templates from sentences and compare them based on rules designed seperately for predicting entailment, contradiction and unknown cases, making use of semantic knowledge from resources like Word Net, Verb Ocean and Acronym database.
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