Left-Brain/Right-Brain Multi-Document Summarization (2004)
by
John M. Conroy
,
Jade Goldstein
,
Judith D. Schlesinger
,
Dianne P. O’leary
| Venue: | In Proceedings of the Document Understanding Conference (DUC |
| Citations: | 22 - 2 self |
BibTeX
@INPROCEEDINGS{Conroy04left-brain/right-brainmulti-document,
author = {John M. Conroy and Jade Goldstein and Judith D. Schlesinger and Dianne P. O’leary},
title = {Left-Brain/Right-Brain Multi-Document Summarization},
booktitle = {In Proceedings of the Document Understanding Conference (DUC},
year = {2004}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Since we began participating in DUC in 2001, our summarizer has been based on an HMM (Hidden Markov Model) for sentence selection within a document and a pivoted QR algorithm to generate a multi-document summary. Each year, however, we have modified the features used by the HMM and added added linguistic capabilities in order to improve the summaries we generate. This year’s entry,
Citations
| 642 | Accurate methods for the statistics of surprise and coincidence - Dunning - 1993 |
| 342 | A trainable document summarizer - Kupiec, Pedersen, et al. - 1995 |
| 69 | The automated acquisition of topic signatures for text summarization - Lin, Hovy - 2000 |
| 34 | Text summarization via hidden markov models and pivoted qr matrix decomposition. Technical report - Conroy, O’leary - 2001 |
| 33 | A Scalable Summarization System using Robust NLP - Aone, Okurowski, et al. - 1997 |
| 9 | Performance of a Three-Stage System for MultiDocument Summarization - Dunlavy, Conroy, et al. - 2003 |
| 4 | Experiments in multi-modal automatic content extraction - Boschee, Bratus, et al. - 2001 |
