Query expansion for sentence retrieval using pseudo relevance feedback and word embedding
Arora, PiyushORCID: 0000-0002-4261-2860, Foster, JenniferORCID: 0000-0002-7789-4853 and Jones, Gareth J.F.ORCID: 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.
Metadata
Item Type:
Conference or Workshop Item (Poster)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Query expansion; Pseudo relevance feedback; Word embeddings; Sentence retrieval
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