Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering
Question Answering (QA) systems based on Information Retrieval return precise answers to
natural language questions, extracting relevant sentences from document collections …
natural language questions, extracting relevant sentences from document collections …
A new fuzzy logic-based query expansion model for efficient information retrieval using relevance feedback approach
J Singh, A Sharan - Neural Computing and Applications, 2017 - Springer
Efficient query expansion (QE) terms selection methods are really very important for
improving the accuracy and efficiency of the system by removing the irrelevant and …
improving the accuracy and efficiency of the system by removing the irrelevant and …
Rank fusion and semantic genetic notion based automatic query expansion model
J Singh, A Sharan - Swarm and Evolutionary Computation, 2018 - Elsevier
Query expansion term selection methods are really very important for improving the
accuracy and efficiency of pseudo-relevance feedback based automatic query expansion for …
accuracy and efficiency of pseudo-relevance feedback based automatic query expansion for …
A new approach for query expansion using Wikipedia and WordNet
Query expansion (QE) is a well-known technique used to enhance the effectiveness of
information retrieval. QE reformulates the initial query by adding similar terms that help in …
information retrieval. QE reformulates the initial query by adding similar terms that help in …
A novel fuzzy logic model for pseudo-relevance feedback-based query expansion
In this paper, a novel fuzzy logic-based expansion approach considering the relevance
score produced by different rank aggregation approaches is proposed. It is well known that …
score produced by different rank aggregation approaches is proposed. It is well known that …
A prospect-guided global query expansion strategy using word embeddings
The effectiveness of query expansion methods depends essentially on identifying good
candidates, or prospects, semantically related to query terms. Word embeddings have been …
candidates, or prospects, semantically related to query terms. Word embeddings have been …
Using score distributions to compare statistical significance tests for information retrieval evaluation
Statistical significance tests can provide evidence that the observed difference in
performance between 2 methods is not due to chance. In information retrieval (IR), some …
performance between 2 methods is not due to chance. In information retrieval (IR), some …
Improving query expansion using pseudo-relevant web knowledge for information retrieval
In the field of information retrieval, query expansion (QE) has long been used as a technique
to deal with the fundamental issue of word mismatch between a user's query and the target …
to deal with the fundamental issue of word mismatch between a user's query and the target …
Camera mote with a high-performance parallel processor for real-time frame-based video processing
R Kleihorst, A Abbo, B Schueler… - 2007 First ACM/IEEE …, 2007 - ieeexplore.ieee.org
This paper describes a new smart camera mote with a high performance SIMD (single-
instruction multiple-data) processor. Previous versions of our camera mote were equipped …
instruction multiple-data) processor. Previous versions of our camera mote were equipped …
Semantic approaches for query expansion
Abstract To increase the Information Retrieval System's efficiency, there is a requirement to
expand the native user query. There are many approaches to enhance the user query in …
expand the native user query. There are many approaches to enhance the user query in …