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SIGIR
2000
ACM
15 years 2 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
DEXAW
2004
IEEE
105views Database» more  DEXAW 2004»
15 years 1 months ago
Automated Japanese Essay Scoring System: Jess
We have developed an automated Japanese essay scoring system named jess. The system evaluates an essay from three features: (1) Rhetoric -- ease of reading, diversity of vocabular...
Tsunenori Ishioka, Masayuki Kameda
ACL
2008
14 years 11 months ago
FastSum: Fast and Accurate Query-based Multi-document Summarization
We present a fast query-based multi-document summarizer called FastSum based solely on word-frequency features of clusters, documents and topics. Summary sentences are ranked by a...
Frank Schilder, Ravikumar Kondadadi
WWW
2004
ACM
15 years 10 months ago
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
We present a principled methodology for filtering news stories by formal measures of information novelty, and show how the techniques can be used to custom-tailor newsfeeds based ...
Evgeniy Gabrilovich, Susan T. Dumais, Eric Horvitz
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 1 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...