Rahul Katragadda

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Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. In this paper we present a Generative Modeling framework for evaluation of content of summaries. We used two simple alternatives to identifying signature-terms from the reference summaries based on model consistency(More)
In this paper, we describe a sentence position based summarizer that is built based on a sentence position policy, created from the evaluation testbed of recent summarization tasks at Document Understanding Conferences (DUC). We show that the summarizer thus built is able to outperform most systems participating in task focused summarization evaluations at(More)
Readability of a summary is usually graded manually on five aspects of readability: grammaticality, coherence and structure, focus, referential clarity and non-redundancy. In the context of automated metrics for evaluation of summary quality, content evaluations have been presented through the last decade and continue to evolve, however a careful(More)
This paper describes our participation at TAC 2008 in all the three tracks. For the Summarization Track we introduced two major features. First, a feature based on Information Loss if we don’t pick a particular sentence. Second, a language modeling extension that boosts novel terms and penalizes stale terms. During our post-TAC analysis we observed that a(More)
In this draft we describe our TAC submissions and post-TAC experiments for Automated Evaluation of Summaries of Peers task of Text Analysis Conference (TAC). We approached the problem using two different approaches. Firstly, we use a generative modeling based approach to capture the sentence level presence of keywords in peer summaries and provide two(More)
Large scientific knowledge bases (KBs) are bound to contain inconsistencies and under-specified knowledge. Inconsistencies are inherent because the approach to modeling certain phenomena evolves over time, and at any given time, contradictory approaches to modeling a piece of domain knowledge may simultaneously exist in the KB. Underspecification is(More)
Multicast is a communication model in which a message is sent from a source to an arbitrary number of distinct destinations. Two main parameters that are used to evaluate multicast routing are the time it takes to deliver the message to all destinations and the traffic, i.e., the total number of links involved in the multicast process. It has been proved(More)
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