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NLDB
2007
Springer
13 years 10 months ago
Text Segmentation Based on Document Understanding for Information Retrieval
Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user...
Violaine Prince, Alexandre Labadié
CIKM
2006
Springer
13 years 8 months ago
Multi-task text segmentation and alignment based on weighted mutual information
Text segmentation is important for text analysis, while text alignment is to determine shared sub-topics among similar documents. Multi-task text segmentation and alignment is the...
Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen
IJCNLP
2005
Springer
13 years 10 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
ICAIL
2009
ACM
13 years 9 months ago
Segmentation of legal documents
An overwhelming number of legal documents is available in digital form. However, most of the texts are usually only provided in a semi-structured form, i.e. the documents are stru...
Eneldo Loza Mencía
ACL
2006
13 years 6 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone