Putting the user in the loop: interactive Maximal Marginal Relevance for query-focused summarization
| Title | Putting the user in the loop: interactive Maximal Marginal Relevance for query-focused summarization |
| Publication Type | Conference Papers |
| Year of Publication | 2010 |
| Authors | Jimmy Lin, Madnani N, Dorr BJ |
| Conference Name | Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics |
| Date Published | 2010/// |
| Publisher | Association for Computational Linguistics |
| Conference Location | Stroudsburg, PA, USA |
| ISBN Number | 1-932432-65-5 |
| 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. |
| URL | http://dl.acm.org/citation.cfm?id=1857999.1858040 |