By Carol Peters (auth.), Carol Peters, Valentin Jijkoun, Thomas Mandl, Henning Müller, Douglas W. Oard, Anselmo Peñas, Vivien Petras, Diana Santos (eds.)
This booklet constitutes the completely refereed court cases of the eighth Workshop of the Cross-Language review discussion board, CLEF 2007, held in Budapest, Hungary, September 2007.
The revised and prolonged papers have been conscientiously reviewed and chosen for inclusion within the ebook. There are one hundred fifteen contributions in overall and an creation. The seven distrinct assessment tracks in CLEF 2007, are designed to check the functionality of a variety of multilingual details entry platforms or approach elements. The papers are equipped in topical sections on Multilingual Textual record Retrieval (Ad Hoc), Domain-Specific details Retrieval (Domain-Specific), a number of Language query Answering (QA@CLEF), cross-language retrieval in photo collections (Image CLEF), cross-language speech retrieval (CL-SR), multilingual internet retrieval (WebCLEF), cross-language geographical retrieval (GeoCLEF), and CLEF in different reviews.
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Extra resources for Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers
All topic sets were created by native speakers. One of the decisions taken early on in the organization of the CLEF ad hoc tracks was that for each task the same set of topics, rendered in diﬀerent languages, would be used to query the diﬀerent collections. There were a number of reasons for this: it makes it easier to compare results over diﬀerent target languages, it means that there is a single master set that is rendered in all query languages, and a single set of relevance assessments for each language is suﬃcient for all tasks.
All groups participating in the Indian languages sub-task also had to submit at least one run in Hindi (mandatory) plus runs in other Indian languages (optional). CLEF 2007: Ad Hoc Track Overview 23 Table 5. 61% We were disappointed to only receive runs from one participant for the X → BG, CS, or HU tasks. Furthermore, the results were quite poor; as this group normally achieves very good performance, we suspect that these runs were probably corrupted in some way. For this reason, we decided to disregard them as being of little signiﬁcance.
Acknowledgements We should like to acknowledge the enormous contribution of the groups responsible for topic creation and relevance assessment. In particular, we thank the group responsible for the work on Bulgarian led by Kiril Simov and Petya Osenova, the group responsible for Czech led by Pavel Pecina7 , and the group responsible for Hungarian led by Tam´ as V´aradi and Gergely Botty´an. These groups worked very hard under great pressure in order to complete the heavy load of relevance assessments in time.
Advances in Multilingual and Multimodal Information Retrieval: 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers by Carol Peters (auth.), Carol Peters, Valentin Jijkoun, Thomas Mandl, Henning Müller, Douglas W. Oard, Anselmo Peñas, Vivien Petras, Diana Santos (eds.)