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pro vyhledávání: '"Blanco, Roi"'
Sentiment analysis (SA) systems are used in many products and hundreds of languages. Gender and racial biases are well-studied in English SA systems, but understudied in other languages, with few resources for such studies. To remedy this, we build a
Externí odkaz:
http://arxiv.org/abs/2305.11673
Pre-trained language models (LMs) obtain state-of-the-art performance when adapted to text classification tasks. However, when using such models in real-world applications, efficiency considerations are paramount. In this paper, we study how differen
Externí odkaz:
http://arxiv.org/abs/2210.12022
We present a system for answering questions based on the full text of books (BookQA), which first selects book passages given a question at hand, and then uses a memory network to reason and predict an answer. To improve generalization, we pretrain o
Externí odkaz:
http://arxiv.org/abs/1910.00856
Akademický článek
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Autor:
Mackenzie, Joel, Culpepper, J. Shane, Blanco, Roi, Crane, Matt, Clarke, Charles L. A., Lin, Jimmy
Scalable web search systems typically employ multi-stage retrieval architectures, where an initial stage generates a set of candidate documents that are then pruned and re-ranked. Since subsequent stages typically exploit a multitude of features of v
Externí odkaz:
http://arxiv.org/abs/1704.03970
Autor:
Lioma, Christina, Blanco, Roi
Automatic language processing tools typically assign to terms so-called weights corresponding to the contribution of terms to information content. Traditionally, term weights are computed from lexical statistics, e.g., term frequencies. We propose a
Externí odkaz:
http://arxiv.org/abs/1704.01617
The "Local Ranking Problem" (LRP) is related to the computation of a centrality-like rank on a local graph, where the scores of the nodes could significantly differ from the ones computed on the global graph. Previous work has studied LRP on the hype
Externí odkaz:
http://arxiv.org/abs/1505.06386
Autor:
Delgado Gonzalez, Bruno, Lopez-Blanco, Roi, Parcero-Bouzas, Samuel, Barreiro-Piñeiro, Natalia, Garcia-Abuin, Lucas, Fernandez-Megia, Eduardo
Publikováno v:
Journal of the American Chemical Society; 6/26/2024, Vol. 146 Issue 25, p17211-17219, 9p
Publikováno v:
EPTCS 159, 2014, pp. 30-43
Entity-linking is a natural-language-processing task that consists in identifying the entities mentioned in a piece of text, linking each to an appropriate item in some knowledge base; when the knowledge base is Wikipedia, the problem comes to be kno
Externí odkaz:
http://arxiv.org/abs/1407.7930
This paper introduces TwitterPaul, a system designed to make use of Social Media data to help to predict game outcomes for the 2010 FIFA World Cup tournament. To this end, we extracted over 538K mentions to football games from a large sample of tweet
Externí odkaz:
http://arxiv.org/abs/1211.6496