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Browse Dept. of Computer Science by Author "Ganesan, Kavita"
Now showing items 1-11 of 11
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Kim, Hyun Duk; Ganesan, Kavita; Sondhi, Parikshit; Zhai, ChengXiang (2011)The abundance of opinions on the web has kindled the study of opinion summarization over the last few years. People have introduced various techniques and paradigms to solving this special task. This survey attempts to ...
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Vydiswaran, V.G.Vinod; Ganesan, Kavita; Lv,Yuanhua; He, Jing; Zhai, ChengXiang (Text Retrieval Conference (TREC), 2009)
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Vydiswaran, V.G.Vinod; Ganesan, Kavita; Lv,Yuanhua; He, Jing; Zhai, ChengXiang (Text Retrieval Conference (TREC), 2009)Our goal in participating in the TREC 2009 Entity Track was to study whether relation extraction techniques can help in improving accuracy of the entity finding task. Finding related entities is informational in nature ...
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Ganesan, Kavita (2014)
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Ganesan, Kavita (2014-01-16)Opinions on the web present a wealth of information that can be leveraged in our day to day decision making tasks ranging from which product to purchase to which doctor to consult for a particular ailment. Due to the large ...
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Ganesan, Kavita; Zhai, ChengXiang (2010-03-26)The deployment of Web 2.0 technologies has led to rapid growth of various opinions and reviews on the web, such as reviews on products and opinions about people. Such content can be very useful to help people find interesting ...
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Ganesan, Kavita; Zhai, ChengXiang (Springer, 2015)The abundance of opinions on the Web is now becoming a critical source of information in a variety of application areas such as business intelligence, market research and online shopping. Unfortunately, due to the rapid ...
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Ganesan, Kavita; Zhai, ChengXiang; Han, Jiawei (COLING 2010, 2010)We present a novel graph-based summarization framework (Opinosis) that generates concise abstractive summaries of highly redundant opinions. Evaluation results on summarizing user reviews show that Opinosis summaries have ...
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Ganesan, Kavita; Zhai, ChengXiang; Han, Jiawei (Coling 2010, 2010)We present a novel graph-based summarization framework (Opinosis) that generates concise abstractive summaries of highly redundant opinions. Evaluation results on summarizing user reviews show that Opinosis summaries have ...
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Ganesan, Kavita (2006)Vector Based Text Classification in the Question Answering field has long been explored. However, there has not been any attempt so far to take word senses into consideration in the development of the feature sets in the ...
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Ganesan, Kavita (2015-03)Evaluation of summarization tasks is extremely crucial to determining the quality of machine generated summaries. Over the last decade, ROUGE has become the standard automatic evaluation measure for evaluating summarization ...
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Now showing items 1-11 of 11