Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Analysis combination and pseudo relevance feedback in conceptual language model: LIRIS participation at ImageCLEFMed

Abstract : This paper presents the LIRIS contribution to the CLEF 2009 medical retrieval task (i.e. ImageCLEFmed). Our model makes use of the textual part of the corpus and of the medical knowledge found in the Unified Medical Language System (UMLS) knowledge sources. As proposed in [6] last year, we used a conceptual representation for each sentence and we proposed a language modeling approach. We test two versions of conceptual unigram language model; one that use the log-probability of the query and a second one that compute the Kullback-Leibler divergence. We used different concept detection methods and we combine these detection methods on queries and documents. This year we mainly test the impact of the use of additional analysis on queries. We also test combinations on French queries where we combine translation and analysis, in order to solve the lack of French terms in UMLS, this provide good results close from the English ones. To complete these combinations we proposed a pseudo relevance method. This approach use the n first retrieve documents to form one pseudo query that is used in the Kullback-Leibler model to complete the original query. The results of this approach show that extending the queries with such an approach improves the results.
Complete list of metadata

Cited literature [6 references]  Display  Hide  Download
Contributor : Import Ws Irstea Connect in order to contact the contributor
Submitted on : Monday, October 18, 2010 - 10:56:41 AM
Last modification on : Monday, June 27, 2022 - 11:32:33 AM
Long-term archiving on: : Wednesday, January 19, 2011 - 2:41:58 AM


Files produced by the author(s)



Loïc Maisonnasse, Farah Harrathi, Catherine Roussey, Sylvie Calabretto. Analysis combination and pseudo relevance feedback in conceptual language model: LIRIS participation at ImageCLEFMed. Lecture Notes in Computer Science, Springer, 2010, 6242, p. 203 - p. 210. ⟨10.1007/978-3-642-15751-6⟩. ⟨hal-00527113⟩



Record views


Files downloads