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» Combining Vector Space Model and Multi Word Term Extraction ...
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NLDB
2007
Springer
13 years 10 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...
SAC
2011
ACM
12 years 7 months ago
Biomedical concept extraction based on combining the content-based and word order similarities
It is well known that the main objective of conceptual retrieval models is to go beyond simple term matching by relaxing term independence assumption through concept recognition. ...
Duy Dinh, Lynda Tamine
IIR
2010
13 years 5 months ago
An Ontological Representation of Documents and Queries for Information Retrieval Systems
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information o...
Mauro Dragoni, Célia da Costa Pereira, Andr...
TREC
2004
13 years 5 months ago
The Hong Kong Polytechnic University at the TREC 2004 Robust Track
In the robust track, we mainly tested our passage-based retrieval model with different passage sizes and weighting schemes. In our approach, we used two retrieval models, namely t...
D. Y. Wang, Robert Wing Pong Luk, Kam-Fai Wong
TSD
2009
Springer
13 years 8 months ago
Combining Text Vector Representations for Information Retrieval
Abstract. This paper suggests a novel representation for documents that is intended to improve precision. This representation is generated by combining two central techniques: Rand...
Maya Carrillo, Chris Eliasmith, Aurelio Lóp...