@conference {13843, title = {Putting the user in the loop: interactive Maximal Marginal Relevance for query-focused summarization}, booktitle = {Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics}, series = {HLT {\textquoteright}10}, year = {2010}, month = {2010///}, pages = {305 - 308}, publisher = {Association for Computational Linguistics}, organization = {Association for Computational Linguistics}, address = {Stroudsburg, PA, USA}, abstract = {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.}, isbn = {1-932432-65-5}, url = {http://dl.acm.org/citation.cfm?id=1857999.1858040}, author = {Jimmy Lin and Madnani,Nitin and Dorr, Bonnie J} }