Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Fresno, Víctor"'
Autor:
Salido, Eva Sánchez, Morante, Roser, Gonzalo, Julio, Marco, Guillermo, Carrillo-de-Albornoz, Jorge, Plaza, Laura, Amigó, Enrique, Fernández, Andrés, Benito-Santos, Alejandro, Espinosa, Adrián Ghajari, Fresno, Victor
In this article we present UNED-ACCESS 2024, a bilingual dataset that consists of 1003 multiple-choice questions of university entrance level exams in Spanish and English. Questions are originally formulated in Spanish and translated manually into En
Externí odkaz:
http://arxiv.org/abs/2409.12746
Autor:
Benito-Santos, Alejandro, Ghajari, Adrián, Hernández, Pedro, Fresno, Víctor, Ros, Salvador, González-Blanco, Elena
In this paper, we present a new dataset and benchmark tailored to the task of semantic similarity in song lyrics. Our dataset, originally consisting of 2775 pairs of Spanish songs, was annotated in a collective annotation experiment by 63 native anno
Externí odkaz:
http://arxiv.org/abs/2306.01325
Publikováno v:
Language Resources and Evaluation, 13 October 2021
Nowadays, there are many applications of text mining over corpora from different languages. However, most of them are based on texts in prose, lacking applications that work with poetry texts. An example of an application of text mining in poetry is
Externí odkaz:
http://arxiv.org/abs/2007.04626
The selection of a suitable document representation approach plays a crucial role in the performance of a document clustering task. Being able to pick out representative words within a document can lead to substantial improvements in document cluster
Externí odkaz:
http://arxiv.org/abs/1606.04429
Social media users give rise to social trends as they share about common interests, which can be triggered by different reasons. In this work, we explore the types of triggers that spark trends on Twitter, introducing a typology with following four t
Externí odkaz:
http://arxiv.org/abs/1403.1451
Since very recently, users on the social bookmarking service Delicious can stack web pages in addition to tagging them. Stacking enables users to group web pages around specific themes with the aim of recommending to others. However, users still stac
Externí odkaz:
http://arxiv.org/abs/1302.4916
Publikováno v:
In Journal of Biomedical Informatics June 2019 94
Publikováno v:
KSEM 2011, 5th International Conference on Knowledge Science, Engineering and Management
Recent research has shown the usefulness of social tags as a data source to feed resource classification. Little is known about the effect of settings on folksonomies created on social tagging systems. In this work, we consider the settings of social
Externí odkaz:
http://arxiv.org/abs/1202.5477
This document describes the BM25 and BM25F implementation using the Lucene Java Framework. Both models have stood out at TREC by their performance and are considered as state-of-the-art in the IR community. BM25 is applied to retrieval on plain text
Externí odkaz:
http://arxiv.org/abs/0911.5046
Publikováno v:
In Expert Systems With Applications 30 December 2018 114:1-14