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C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval ...
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Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ...
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The Multilingual TEDx Corpus for Speech Recognition and Translation ...
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Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020
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USC-SFI MALACH Interviews and Transcripts English – Speech Recognition Edition
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USC-SFI MALACH Interviews and Transcripts English – Speech Recognition Edition ...
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An Information Retrieval Test Collection for English SMS Conversations
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Microblogging Temporal Summarization: Filtering Important Twitter Updates for Breaking News
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Frontiers, Challenges, and Opportunities for Information Retrieval – Report from SWIRL 2012, The Second Strategic Workshop on Information Retrieval in Lorne
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Formative Evaluation for Multilingual Multimedia Search and Sense-Making
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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
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UB Frankfurt Linguistik
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Combining Evidence from Unconstrained Spoken Term Frequency Estimation for Improved Speech Retrieval
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Classifying Attitude by Topic Aspect for English and Chinese Document Collections
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Overview of the CLEF-2006 cross-language speech retrieval track
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In: Oard, Douglas W., Wang, Jianqiang, Jones, Gareth J.F. orcid:0000-0003-2923-8365 , White, Ryen W., Pecina, Pavel, Soergel, Dagobert, Huang, Xiaoli and Shafran, Izhak (2007) Overview of the CLEF-2006 cross-language speech retrieval track. In: CLEF 2006: Workshop on Cross-Language Information Retrieval and Evaluation, 20-22 Sept. 2006, Alicante, Spain. (2007)
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Abstract:
The CLEF-2006 Cross-Language Speech Retrieval (CL-SR) track included two tasks: to identify topically coherent segments of English interviews in a known-boundary condition, and to identify time stamps marking the beginning of topically relevant passages in Czech interviews in an unknown-boundary condition. Five teams participated in the English evaluation, performing both monolingual and cross-language searches of ASR transcripts, automatically generated metadata, and manually generated metadata. Results indicate that the 2006 evaluation topics are more challenging than those used in 2005, but that cross-language searching continued to pose no unusual challenges when compared with collections of character-coded text. Three teams participated in the Czech evaluation, but no team achieved results comparable to those obtained with English interviews. The reasons for this outcome are not yet clear.
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Keyword:
Evaluation; Generalized Average Precision; Information retrieval; Speech Retrieval
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URL: http://doras.dcu.ie/16197/
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