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Query expansion for sentence retrieval using pseudo relevance feedback and word embedding

Arora, Piyush orcid logoORCID: 0000-0002-4261-2860, Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853 and Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365 (2017) Query expansion for sentence retrieval using pseudo relevance feedback and word embedding. In: 8th International Conference of the Cross-Language Evaluation Forum for European Languages, 11–14 Sept 2017, Dublin, Ireland. ISBN 978-3-319-65812-4

This study investigates the use of query expansion (QE) methods in sentence retrieval for non-factoid queries to address the query-document term mismatch problem. Two alternative QE approaches: i) pseudo relevance feedback (PRF), using Robertson term selection, and ii) word embeddings (WE) of query words, are explored. Experiments are carried out on the WebAP data set developed using the TREC GOV2 collection. Experimental results using P@10, NDCG@10 and MRR show that QE using PRF achieves a statistically significant improvement over baseline retrieval models, but that while WE also improves over the baseline, this is not statistically significant. A method combining PRF and WE expansion performs consistently better than using only the PRF method.
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Uncontrolled Keywords:Query expansion; Pseudo relevance feedback; Word embeddings; Sentence retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Jones, Gareth J.F., Lawless, Séamus, Gonzalo, Julio, Kelly, Liadh, Goeuriot, Lorraine, Mandl, Thomas, Cappellato, Linda and Ferro, Nicola, (eds.) Lecture Notes in Computer Science LNCS. Information Systems and Applications 10456. Springer, Cham. ISBN 978-3-319-65812-4
Publisher:Springer, Cham
Official URL:https://doi.org/10.1007/978-3-319-65813-1_8
Copyright Information:© 2017 Springer International Publishing AG
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) as a part of the ADAPT Centre at Dublin City University (Grant No: 12/CE/I2267).
ID Code:22805
Deposited On:03 Dec 2018 10:47 by Piyush Arora . Last Modified 01 Feb 2019 12:28

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