Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
The effectiveness of a nonsyntatic approach to automatic phrase indexing for document retrieval
Journal of the American Society for Information Science
Word association norms, mutual information, and lexicography
Computational Linguistics
Automatic text structuring and retrieval-experiments in automatic encyclopedia searching
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
An Information Retrieval Approach for Automatically Constructing Software Libraries
IEEE Transactions on Software Engineering
WordNet: a lexical database for English
Communications of the ACM
Natural language processing for information retrieval
Communications of the ACM
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
Using cause-effect relations in text to improve information retrieval precision
Information Processing and Management: an International Journal
Modern Information Retrieval
Biterm language models for document retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Using the Co-occurrence of Words for Retrieval Weighting
Information Retrieval
Word sense disambiguation in information retrieval revisited
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Word classification and hierarchy using co-occurrence word information
Information Processing and Management: an International Journal
Generating and Browsing Multiple Taxonomies Over a Document Collection
Journal of Management Information Systems
A business intelligence system
IBM Journal of Research and Development
Design science in information systems research
MIS Quarterly
Towards a paradigmatic shift in IS: designing for social practice
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
| Hi-index | 0.00 |
Although the management of information assets-specifically, of text documents that make up 80 percent of these assets-an provide organizations with a competitive advantage, the ability of information retrieval (IR) systems to deliver relevant information to users is severely hampered by the difficulty of disambiguating natural language. The word ambiguity problem is addressed with moderate success in restricted settings, but continues to be the main challenge for general settings, characterized by large, heterogeneous document collections. In this paper, we provide preliminary evidence for the usefulness of statistical natural language processing (NLP) techniques, and specifically of collocation indexing, for IR in general settings. We investigate the effect of three key parameters on collocation indexing performance: directionality, distance, and weighting. We build on previous work in IR to (1) advance our knowledge of key design elements for collocation indexing, (2) demonstrate gains in retrieval precision from the use of statistical NLP for general-settings IR, and, finally, (3) provide practitioners with a useful cost-benefit analysis of the methods under investigation.