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» Document and Query Expansion Models for Blog Distillation
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IIR
2010
15 years 1 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...
CLEF
2004
Springer
15 years 5 months ago
IR-n r2: Using Normalized Passages
This paper describes the fourth participation of IR-n system (Alicante University) at CLEF conferences. At present conference, we have modified the similarity measure and the que...
Fernando Llopis, Rafael Muñoz, Rafael M. Te...
CIKM
2009
Springer
15 years 6 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
SIGIR
2012
ACM
13 years 2 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
84
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NLDB
2007
Springer
15 years 5 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 ...