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Hits 1 – 15 of 15

1
AWESSOME : An unsupervised sentiment intensity scoring framework using neural word embeddings
Htait, Amal; Azzopardi, Leif. - : Springer, 2021
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2
Sentiment intensity prediction using neural word embeddings
Htait, Amal; Azzopardi, Leif. - : ACM, 2021
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3
Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search
In: ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03124566 ; ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Sep 2020, Stavanger, Norway. pp.29-32, ⟨10.1145/3409256.3409847⟩ ; https://ictir2020.org (2020)
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4
Using sentiment analysis for pseudo-relevance feedback in social book search
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5
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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6
CLEF eHealth 2019 evaluation lab
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7
Overview of the CLEF eHealth Evaluation Lab 2019
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8
CLEF ehealth 2019 evaluation lab
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9
Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh; Suominen, Hanna; Goeuriot, Lorraine. - : Springer Verlag, 2019
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10
Overview of the CLEF ehealth evaluation lab 2018
Suominen, Hanna; Kelly, Liadh; Goeuriot, Lorraine. - : Springer-Verlag, 2018
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11
Overview of the CLEF eHealth Evaluation Lab 2018
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12
Overview of the CLEF eHealth evaluation lab 2018
Suominen, Hanna; Kelly, Liadh; Goeuriot, Lorraine. - : Springer International Publishing, 2018
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13
CLEF 2017 dynamic search evaluation lab overview
Kanoulas, Evangelos; Azzopardi, Leif. - : Springer-Verlag, 2017
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14
Frontiers, Challenges, and Opportunities for Information Retrieval – Report from SWIRL 2012, The Second Strategic Workshop on Information Retrieval in Lorne
Kelly, Diane; Clarke, Charles L.A.; Moffat, Alistair. - : KTH, Teoretisk datalogi, TCS, 2012. : ACM, 2012
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15
An analysis on document length retrieval trends in language modeling smoothing
In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 11 (2008) 2, 109-138
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