Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 13th International C Alberto Barrón-Cedeño,Giovanni Da San Martino,N

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Geochemistry of Sedimentary Ore Depositsand BERT pre-trained model. In addition to URLs, we analyzed the impact of different approaches for dealing with emojis and Twitter handles on the performance of the models. Our results show URLs could be good clues for identifying fake news, despite the fact that they are usually removed in pre-pro

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Jefferson’s Ecologies of Exception the predictions of any classifier in an interpretable and faithful manner. Our experiments show that (a) accuracy is misleading in assessing these methods, (b) not all these methods are effectively capturing the . structure, (c) often, the underlying sequence model is what captures the syntactic st

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https://doi.org/10.1007/978-1-4614-8699-2iLAS Lab at CLEF 2021. Our experimental system could efficiently be fine-tuned before the live evaluation by pre-testing the system with a pseudo test collection based on prior user interaction data from the live system. The results indicate that the experimental system outperforms the other partici

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Bruce M. Hannah,Kurt Kubik,Rodney A. Walkermain points: scarce resources like BioQA datasets can be benefited from data-centric approaches with relatively little effort; and a model design reflecting data characteristics can improve the performance of the system..The scope of this paper is majorly focused on applications of our strategies in

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0302-9743 n to this, the volume presents 7 “best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 14 lab overview papers w978-3-031-13642-9978-3-031-13643-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Experimental IR Meets Multilinguality, Multimodality, and Interaction13th International C