2005 SQuASHDUC

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Subject Headings: Question-based Multi-Document Text Summarization, SQuASH Project, DUC 2005, Semantic Role Labeling.

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Abstract

This paper describes the design of the SQUASH system, the SFU Question Answering Summary Handler, developed by members of the Natural Language Lab from the SFU School of Computing Science in order to participate in the 2005_Document Understanding Conference (DUC-2005) summarization task. The system design involves semantic role labelling, semantic subgraph-based sentence selection and automatic post-editing to create a question-based 250 word summary from a set of documents, all of which are relevant to the question topic. We also present and discuss the various evaluations performed on our system output, comparing our performance to the other systems that took part in the DUC 2005 competition.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2005 SQuASHDUCGabor Melli
Yang Wang
Yudong Liu
Mehdi M. Kashani
Zhongmin Shi
Baohua Gu
Anoop Sarkar
Fred Popowich
Description of SQUASH, the SFU Question Answering Summary Handler for the DUC-2005 Summarization TaskProceedings of Document Understanding Workshop at the HLT/EMNLP Annual Meetinghttp://www-nlpir.nist.gov/projects/duc/pubs/2005papers/simonfraseru.sarkar.pdf2005