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1
Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages
In: Fraunhofer FOKUS ; Fraunhofer IBMT (2020)
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2
Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk ...
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3
(Not so) Elementary, my dear Watson! A different perspective on medical terminology ...
Vezzani, Federica; Di Nunzio, Giorgio Maria. - : Umanistica Digitale, 2019
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4
A lexicon based approach to classification of ICD10 codes. IMS unipd at CLEF eHealth task 1
In: CLEF eHealth 2017 ; https://hal.archives-ouvertes.fr/hal-03481851 ; CLEF eHealth 2017, Sep 2017, Dublin, Ireland (2017)
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A Reproducible Approach with R Markdown to Automatic Classification of Medical Certificates in French
In: Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017 ; https://hal.archives-ouvertes.fr/hal-03481762 ; Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017, Accademia University Press, pp.153-158, 2017, ⟨10.4000/books.aaccademia.2403⟩ (2017)
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6
An Interactive Two-Dimensional Approach to Query Aspects Rewriting in Systematic Reviews. IMS Unipd At CLEF eHealth Task 2
In: CLEF eHealth 2017 ; https://hal.archives-ouvertes.fr/hal-03481866 ; CLEF eHealth 2017, Sep 2017, Dublin, Ireland (2017)
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7
LogCLEF: Enabling research on multilingual log files
In: Leveling, Johannes orcid:0000-0003-0603-4191 , Di Nunzio, Giorgio Maria and Mandl, Thomas (2011) LogCLEF: Enabling research on multilingual log files. In: The 1st Workshop on Personalised Multilingual Hypertext Retrieval (PMHR 2011), 6 June 2011, Eindhoven, the Netherlands. (2011)
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8
CLEF 2005: Ad Hoc track overview
In: Di Nunzio, Giorgio Maria, Ferro, Nicola, Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Peters, Carol (2006) CLEF 2005: Ad Hoc track overview. In: CLEF 2005: Workshop on Cross-Language Information Retrieval and Evaluation, 2006, Vienna, Austria. (2006)
Abstract: We describe the objectives and organization of the CLEF 2005 ad hoc track and discuss the main characteristics of the tasks offered to test monolingual, bilingual and multilingual textual document retrieval. The performance achieved for each task is presented and a preliminary analysis of results is given. The paper focuses in particular on the multilingual tasks which reused the test collection created in CLEF 2003 in an attempt to see if an improvement in system performance over time could be measured, and also to examine the multilingual results merging problem.
Keyword: cross language information retrieval; Information retrieval
URL: http://doras.dcu.ie/16202/
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