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
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Generalized vector spaces model in information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Comparing representations in Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
On the use of words and n-grams for Chinese information retrieval
IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages
Set-based model: a new approach for information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Capturing term dependencies using a language model based on sentence trees
Proceedings of the eleventh international conference on Information and knowledge management
Using Dempster-Shafer's Theory of Evidence to Combine Aspects of Information Use
Journal of Intelligent Information Systems
Partial Probabilistic Interpretations and General Imaging
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Noun-phrase analysis in unrestricted text for information retrieval
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Dempster-Shafer Theory for a Query-Biased Combination of Evidence on the Web
Information Retrieval
An adaptive technique for content-based image retrieval
Multimedia Tools and Applications
Comparing different units for query translation in Chinese cross-language information retrieval
Proceedings of the 2nd international conference on Scalable information systems
Beyond bags of words: effectively modeling dependence and features in information retrieval
Beyond bags of words: effectively modeling dependence and features in information retrieval
Integrating phrase inseparability in phrase-based model
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A Belief Model of Query Difficulty That Uses Subjective Logic
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
A subjective logic formalisation of the principle of polyrepresentation for information needs
Proceedings of the third symposium on Information interaction in context
| Hi-index | 0.00 |
Traditional information retrieval (IR) approaches assume that the indexing terms are independent, which is not true in reality. Although some previous studies have tried to consider term relationships, strong simplifications had to be made at the very basic indexing step, namely, dependent terms are assigned independent counts or probabilities. In this study, we propose to consider dependencies between terms using Dempster-Shafer theory of evidence. An occurrence of a string in a document is considered to represent the set of all the terms implied in it. Probability is assigned to such a set of terms instead of individual terms. During query evaluation phase, a part of the probability of a set can be transferred to those of the query that are related, allowing us to integrate language-dependent relations in IR. This approach has been tested on several Chinese IR collections. Our experimental results show that our model can outperform the existing state-of-the-art approaches. The proposed method can be used as a general way to consider different types of relationship between terms and for other languages.