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» Linguistic Knowledge can Improve Information Retrieval
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LREC
2010
136views Education» more  LREC 2010»
14 years 11 months ago
A Japanese Particle Corpus Built by Example-Based Annotation
This paper is a report on an on-going project of creating a new corpus focusing on Japanese particles. The corpus will provide deeper syntactic/semantic information than the exist...
Hiroki Hanaoka, Hideki Mima, Jun-ichi Tsujii
VISUAL
1999
Springer
15 years 2 months ago
General Image Database Model
In this paper we propose a new General Image DataBase (GIDB) model. The model establishes taxonomy based on the systematisation of existing approaches. The GIDB model is based on t...
Peter L. Stanchev
WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
15 years 4 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
CIKM
2009
Springer
14 years 7 months ago
Interactive relevance feedback with graded relevance and sentence extraction: simulated user experiments
Research on relevance feedback (RFB) in information retrieval (IR) has given mixed results. Success in RFB seems to depend on the searcher's willingness to provide feedback a...
Kalervo Järvelin
COLING
2010
14 years 5 months ago
Simultaneous Ranking and Clustering of Sentences: A Reinforcement Approach to Multi-Document Summarization
Multi-document summarization aims to produce a concise summary that contains salient information from a set of source documents. In this field, sentence ranking has hitherto been ...
Xiaoyan Cai, Wenjie Li, Ouyang You, Hong Yan