@inproceedings{2f5fa3350f7d4de480b427607c4d807e,
title = "Re-ranking summaries based on cross-document information extraction",
abstract = "This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorporate IE results into sentence ranking. Experiments have shown our integration methods can significantly improve a high-performing multi-document summarization system, according to the ROUGE-2 and ROUGE-SU4 metrics (7.38\% relative improvement on ROUGE-2 recall), and the generated summaries are preferred by human subjects (0.78 higher TAC Content score and 0.11 higher Readability/Fluency score).",
keywords = "Information Extraction, Multi-document Summarization",
author = "Heng Ji and Juan Liu and Benoit Favre and Dan Gillick and Dilek Hakkani-Tur",
note = "This work was supported by the U.S. Army Research Laboratory under Cooperative Agreement Number W911NF-09-2-0053, the U.S. NSF CAREER Award under Grant IIS-0953149, Google, Inc., DARPA GALE Program, CUNY Research Enhancement Program, PSC-CUNY Research Program, Faculty Publication Program and GRTI Program. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either This work was supported by the U.S. Army Research Laboratory under Cooperative Agreement Number W911NF-09-2-0053, the U.S. NSF CAREER Award under Grant IIS-0953149, Google, Inc., DARPA GALE Program, CUNY Research Enhancement Program, PSC-CUNY Research Program, Faculty Publication Program and GRTI Program. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on",
year = "2010",
doi = "10.1007/978-3-642-17187-1\_42",
language = "English (US)",
isbn = "3642171869",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "432--442",
booktitle = "Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Proceedings",
address = "Germany",
}