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1
Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing ...
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2
Ranking Clarifying Questions Based on Predicted User Engagement ...
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3
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering ...
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Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering ...
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5
Knowledge Graph Simple Question Answering for Unseen Domains ...
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6
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search ...
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7
Overview of the CLEF eHealth Evaluation Lab 2019
In: CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 322-339 ; https://hal.archives-ouvertes.fr/hal-03156710 ; CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 322-339, pp.322-339, 2019, ⟨10.1007/978-3-030-28577-7_26⟩ (2019)
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CLEF eHealth 2019 evaluation lab
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CLEF eHealth 2019 Evaluation Lab
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Overview of the CLEF eHealth Evaluation Lab 2019
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CLEF ehealth 2019 evaluation lab
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Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh; Suominen, Hanna; Goeuriot, Lorraine. - : Springer Verlag, 2019
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13
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions ...
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14
Overview of the CLEF ehealth evaluation lab 2018
Abstract: In this paper, we provide an overview of the sixth annual edition of the CLEF eHealth evaluation lab. CLEF eHealth 2018 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins, clinical staff, and health scientists in understanding, accessing, and authoring eHealth information in a multilingual setting. This year’s lab offered three tasks: Task 1 on multilingual information extraction to extend from last year’s task on French and English corpora to French, Hungarian, and Italian; Task 2 on technologically assisted reviews in empirical medicine building on last year’s pilot task in English; and Task 3 on Consumer Health Search (CHS) in mono- and multilingual settings that builds on the 2013–17 Information Retrieval tasks. In total 28 teams took part in these tasks (14 in Task 1, 7 in Task 2 and 7 in Task 3). Herein, we describe the resources created for these tasks, outline our evaluation methodology adopted and provide a brief summary of participants of this year’s challenges and results obtained. As in previous years, the organizers have made data and tools associated with the lab tasks available for future research and development.
Keyword: Electronic computers. Computer science
URL: https://doi.org/10.1007/978-3-319-98932-7_26
https://strathprints.strath.ac.uk/66428/
https://strathprints.strath.ac.uk/66428/1/Suominen_etal_CLEF2018_Overview_CLEF_ehealth_evaluation_lab_2018.pdf
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Overview of the CLEF eHealth Evaluation Lab 2018
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16
Overview of the CLEF eHealth evaluation lab 2018
Suominen, Hanna; Kelly, Liadh; Goeuriot, Lorraine. - : Springer International Publishing, 2018
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17
Examining Cooperation in Visual Dialog Models ...
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18
Neural Vector Spaces for Unsupervised Information Retrieval ...
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19
CLEF 2017 dynamic search evaluation lab overview
Kanoulas, Evangelos; Azzopardi, Leif. - : Springer-Verlag, 2017
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20
Lexical Query Modeling in Session Search ...
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