Paper: Putting the User in the Loop: Interactive Maximal Marginal Relevance for Query-Focused Summarization

ACL ID N10-1041
Title Putting the User in the Loop: Interactive Maximal Marginal Relevance for Query-Focused Summarization
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

This work represents an initial attempt to move beyond “single-shot” summarization to interactive summarization. We present an ex- tension to the classic Maximal Marginal Rel- evance (MMR) algorithm that places a user “in the loop” to assist in candidate selec- tion. Experiments in the complex interac- tive Question Answering (ciQA) task at TREC 2007 show that interactively-constructed re- sponses are significantly higher in quality than automatically-generated ones. This novel al- gorithm provides a starting point for future work on interactive summarization.