Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 8th International Co Gareth J.F. Jones,Séamus Lawless,Nicola Ferro C

Minatory

A Component-Level Analysis of an Academic Search Test Collection.tion setting presented in a parallel paper, analyses of the recall base and the semantic heterogeneity of queries and documents were used for performance prediction. The study finds that neither the recall base, query specificity nor ambiguity can predict the overall search performance or identify b

流眼淚

Density

Vldl379

IRIT-QFR: IRIT Query Feature Resource linguistics features that can be calculated from the query itself, prior to any search although some are collection-dependent and post-retrieval features that imply the query has been evaluated over the target collection. This paper presents the two types of features that we have estimated as well

MITE

小說(shuō)

Query Expansion for Sentence Retrieval Using Pseudo Relevance Feedback and Word Embeddingtch 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

白楊