Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The effect of accessing nonmatching documents on relevance feedback
ACM Transactions on Information Systems (TOIS)
Extended Boolean information retrieval
Communications of the ACM
Information Retrieval Systems: Theory and Implementation
Information Retrieval Systems: Theory and Implementation
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Word vectors and two kinds of similarity
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Geometric and quantum methods for information retrieval
ACM SIGIR Forum
On the use of negation in Boolean IR queries
Information Processing and Management: an International Journal
Experimental Evidence for Quantum Structure in Cognition
QI '09 Proceedings of the 3rd International Symposium on Quantum Interaction
QI '09 Proceedings of the 3rd International Symposium on Quantum Interaction
A Quantum-Based Model for Interactive Information Retrieval
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Journal of Biomedical Informatics
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Proceedings of the 2010 ACM Symposium on Applied Computing
Enhanced vector space models for content-based recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Exploring a multidimensional representation of documents and queries
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Negation for document re-ranking in ad-hoc retrieval
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Cross-language information filtering: word sense disambiguation vs. distributional models
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Improving the accessibility of line graphs in multimodal documents
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Querying and ranking news items in the hermes framework
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Exploiting term dependence while handling negation in medical search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Enhanced semantic TV-show representation for personalized electronic program guides
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Learning to handle negated language in medical records search
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
| Hi-index | 0.00 |
Standard IR systems can process queries such as "web NOT internet", enabling users who are interested in arachnids to avoid documents about computing. The documents retrieved for such a query should be irrelevant to the negated query term. Most systems implement this by reprocessing results after retrieval to remove documents containing the unwanted string of letters.This paper describes and evaluates a theoretically motivated method for removing unwanted meanings directly from the original query in vector models, with the same vector negation operator as used in quantum logic. Irrelevance in vector spaces is modelled using orthogonality, so query vectors are made orthogonal to the negated term or terms.As well as removing unwanted terms, this form of vector negation reduces the occurrence of synonyms and neighbours of the negated terms by as much as 76% compared with standard Boolean methods. By altering the query vector itself, vector negation removes not only unwanted strings but unwanted meanings.