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» Document generality: its computation for ranking
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DRR
2003
14 years 11 months ago
Information retrieval for OCR documents: a content-based probabilistic correction model
The difficulty with information retrieval for OCR documents lies in the fact that OCR documents comprise of a significant amount of erroneous words and unfortunately most informat...
Rong Jin, ChengXiang Zhai, Alexander G. Hauptmann
94
Voted
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 11 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
ACL
2010
14 years 7 months ago
Automatic Evaluation of Linguistic Quality in Multi-Document Summarization
To date, few attempts have been made to develop and validate methods for automatic evaluation of linguistic quality in text summarization. We present the first systematic assessme...
Emily Pitler, Annie Louis, Ani Nenkova
SIGIR
2004
ACM
15 years 3 months ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng
SIGMOD
2010
ACM
132views Database» more  SIGMOD 2010»
14 years 4 months ago
Durable top-k search in document archives
We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents i...
Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srik...