TREC and TIPSTER experiments with INQUERY
TREC-2 Proceedings of the second conference on Text retrieval conference
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
Local Feedback in Full-Text Retrieval Systems
Journal of the ACM (JACM)
Quantitative evaluation of passage retrieval algorithms for question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Discovery of inference rules for question-answering
Natural Language Engineering
Question answering passage retrieval using dependency relations
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Context sensitive stemming for web search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Document relevance assessment via term distribution analysis using fourier series expansion
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Context-based online medical terminology navigation
Expert Systems with Applications: An International Journal
Enhancing Web Search by Aggregating Results of Related Web Queries
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Combining WordNet and ConceptNet for automatic query expansion: a learning approach
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Word distribution analysis for relevance ranking and query expansion
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Passage reranking for question answering using syntactic structures and answer types
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Selecting expansion terms as a set via integer linear programming
Proceedings of the 21st ACM international conference on Information and knowledge management
QUBiC: An adaptive approach to query-based recommendation
Journal of Intelligent Information Systems
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Classical query expansion techniques such as the local context analysis (LCA) make use of term co-occurrence statistics to incorporate additional contextual terms for enhancing passage retrieval. However, relevant contextual terms do not always co-occur frequently with the query terms and vice versa. Hence the use of such methods often brings in noise, which leads to reduced precision. Previous studies have demonstrated the importance of relationship analysis for natural language queries in passage retrieval. However, they found that without query expansion, the performance is not satisfactory for short queries. In this paper, we present two novel query expansion techniques that make use of dependency relation analysis to extract contextual terms and relations from external corpuses. The techniques are used to enhance the performance of density based and relation based passage retrieval frameworks respectively. We compare the performance of the resulting systems with LCA in a density based passage retrieval system (DBS) and a relation based system without any query expansion (RBS) using the factoid questions from the TREC-12 QA task. The results show that in terms of MRR scores, our relation based term expansion method with DBS outperforms the LCA by 9.81%, while our relation expansion method outperforms RBS by 17.49%.