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» A Trainable Document Summarizer
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IJCAI
2007
13 years 9 months ago
Document Summarization Using Conditional Random Fields
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng ...
IPM
2007
143views more  IPM 2007»
13 years 7 months ago
QCS: A system for querying, clustering and summarizing documents
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...
AI
2007
Springer
14 years 1 months ago
Question Answering Summarization of Multiple Biomedical Documents
Abstract. In this paper we introduce a system that automatically summarizes multiple biomedical documents relevant to a question. The system extracts biomedical and general concept...
Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, ...
IPM
2007
86views more  IPM 2007»
13 years 7 months ago
Document concept lattice for text understanding and summarization
We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that reserved after summarization. Here, a concept refers to an abst...
Shiren Ye, Tat-Seng Chua, Min-Yen Kan, Long Qiu
LREC
2010
144views Education» more  LREC 2010»
13 years 9 months ago
A French Human Reference Corpus for Multi-Document Summarization and Sentence Compression
This paper presents two corpora produced within the RPM2 project: a multi-document summarization corpus and a sentence compression corpus. Both corpora are in French. The first on...
Claude de Loupy, Marie Guégan, Christelle A...