The effects of query complexity, expansion and structure on retrieval performance in probabilistic text retrieval
Explore this paper's citation graph
Summary
The test revealed that when the queries were unexpanded, there were no great differences between different structure types irrespective of the complexity level, and when queries were expanded, the performance of the retrieval system was satisfactory.
- Type
- article
- Published
- 1999-01-01
- Cited by
- 56
- References
- 180
- OpenAlex
- https://openalex.org/W119444765
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14618320
Keywords
Query expansion, Computer science, Information retrieval, Probabilistic logic, Divergence-from-randomness model
References
- Using Structured Queries for Disambiguation in Cross-Language Information Retrieval
- The Stratified Model of Information Retrieval Interaction: Extension and Applications
- Information Retrieval Experiment
- Information Retrieval Techniques
- Information Retrieval Today
- Query Expansion/Reduction and its Impact on Retrieval Effectiveness
- Xerox TREC-5 Site Report: Routing, Filtering, NLP, and Spanish Tracks
- National Institute of Standards and Technologyにおける超伝導研究及び生活
- The First Text REtrieval Conference (TREC-1)
- Simple, proven approaches to text retrieval
- Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
- Okapi at TREC-6 Automatic ad hoc, VLC, routing, filtering and QSDR
- Combining Evidence for Information Retrieval
- The Oxford reference dictionary
- An Association Thesaurus for Information Retrieval
- Combining Evidence from Multiple Searches
- Interactive query expansion and relevance feedback for document retrieval systems
- UCLA-Okapi at TREC-2: Query Expansion Experiments
- Information Retrieval Interaction
- Relevance and Information Behavior.
Cited by
- A Method for Measuring Wide Range Performance of Boolean Queries in Full-Text Databases
- Suomalaisen semanttisen webin ontologiat
- Den kombinerade effekten av query-expansion och query-strukturer på återvinningseffektiviteten i ett probabilistiskt system
- Automated question answering : template-based approach
- Kuinka evaluoida tiedonhakumenetelmiä parhaiden dokumenttien löytämisen kannalta
- Information Retrieval Special Issue: Conceptual, Linguistic and Task-Based IR: Research at the University of Tampere
- User-oriented evaluation methods for information retrieval: a case study based on conceptual models for query expansion
- Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval
- The Co-Effects of Query Structure and Expansion on Retrieval Performance in Probabilistic Text Retrieval
- Extensions to the STAIRS Study—Empirical Evidence for the Hypothesised Ineffectiveness of Boolean Queries in Large Full-Text Databases
- A Test Collection for the Evaluation of Content-Based Image Retrieval Algorithms—A User and Task-Based Approach
- ExpansionTool: Concept-Based Query Expansion and Construction
- The effects of indexing strategy-query term combination on retrieval effectiveness in a Swedish full text database
- The Uexküll Approach: Evaluation of Multivariate Data Organizations for Support of Visual Information Retrieval
- Developing an automatic linguistic truncation operator for best-match retrieval of Finnish in inflected word form text database indexes
- Aspects of Swedish morphology and semantics from the perspective of mono- and cross-language information retrieval
- IR evaluation methods for retrieving highly relevant documents
- Experiments with dictionary-based CLIR using graded relevance assessments: Improving effectiveness by pseudo-relevance feedback
- Stemming and lemmatization in the clustering of finnish text documents
- Consistency of textual expression in newspaper articles: an argument for semantically based query expansion
Related papers
- A Method for Measuring Wide Range Performance of Boolean Queries in Full-Text Databases
- The impact of query structure and query expansion on retrieval performance
- Using graded relevance assessments in IR evaluation
- An evaluation of retrieval effectiveness for a full-text document-retrieval system
- Inference Networks for Document Retrieval
- IR evaluation methods for retrieving highly relevant documents
- Combining Automatic and Manual Index Representations in Probabilistic Retrieval
- Introduction to Modern Information Retrieval
- The Co-Effects of Query Structure and Expansion on Retrieval Performance in Probabilistic Text Retrieval
- Document text characteristics affect the ranking of the most relevant documents by expanded structured queries