Elicitation and use of relevance feedback information
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
On document relevance and lexical cohesion between query terms
Information Processing and Management: an International Journal
Probabilistic document-context based relevance feedback with limited relevance judgments
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Fast computation of lexical affinity models
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extending lexical association measures for collocation extraction
Computer Speech and Language
Internet search: Subdivision-based interactive query expansion and the soft semantic web
Applied Soft Computing
Mining linguistic cues for query expansion: applications to drug interaction search
Proceedings of the 18th ACM conference on Information and knowledge management
Textual features for corpus visualization using correspondence analysis
Intelligent Data Analysis
Elicitation and use of relevance feedback information
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Ad hoc retrieval of documents with topical opinion
ECIR'07 Proceedings of the 29th European conference on IR research
Integrating multiple document features in language models for expert finding
Knowledge and Information Systems
Finding domain specific collocations and concordances on the web
MCTLLL '09 Proceedings of the Workshop on Natural Language Processing Methods and Corpora in Translation, Lexicography, and Language Learning
Query expansion based on clustered results
Proceedings of the VLDB Endowment
A novel combined term suggestion service for domain-specific digital libraries
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
LRD: latent relation discovery for vector space expansion and information retrieval
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Improving retrieval effectiveness by using key terms in top retrieved documents
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
A domain-independent approach to finding related entities
Information Processing and Management: an International Journal
| Hi-index | 0.00 |
The paper presents two novel approaches to query expansion with long-span collocates—words, significantly co-occurring in topic-size windows with query terms. In the first approach—global collocation analysis—collocates of query terms are extracted from the entire collection, in the second—local collocation analysis—from a subset of retrieved documents. The significance of association between collocates was estimated using modified Mutual Information and Z score. The techniques were tested using the Okapi IR system. The effect of different parameters on performance was evaluated: window size, number of expansion terms, measures of collocation significance and types of expansion terms. We present performance results of these techniques and provide comparison with related approaches.