Putting the User in the Loop: Interactive Maximal Marginal Relevance for Query-Focused Summarization
نویسندگان
چکیده
This work represents an initial attempt to move beyond “single-shot” summarization to interactive summarization. We present an extension to the classic Maximal Marginal Relevance (MMR) algorithm that places a user “in the loop” to assist in candidate selection. Experiments in the complex interactive Question Answering (ciQA) task at TREC 2007 show that interactively-constructed responses are significantly higher in quality than automatically-generated ones. This novel algorithm provides a starting point for future work on interactive summarization.
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تاریخ انتشار 2010