Výsledky vyhledávání - "Català, Neus"

Report

Autor: Català, Neus, Baixeries, Jaume, Ferrer-Cancho, Ramon, Padró, Lluís, Hernández-Fernández, Antoni

In his pioneering research, G. K. Zipf formulated a couple of statistical laws on the relationship between the frequency of a word with its number of meanings: the law of meaning distribution, relating the frequency of a word and its frequency rank,

Externí odkaz: http://arxiv.org/abs/2107.00042

Zobrazit plný text záznamu

Report

Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts

Autor: Català, Neus, Martin, Mario

Publikováno v: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019) co-located with 35th Conference of the Spanish Society for Natural Language Processing (SEPLN 2019) http://ceur-ws.org/Vol-2421/

This paper describes our approach presented for the eHealth-KD 2019 challenge. Our participation was aimed at testing how far we could go using generic tools for Text-Processing but, at the same time, using common optimization techniques in the field

Externí odkaz: http://arxiv.org/abs/1909.12339

Zobrazit plný text záznamu

Report

Polysemy and brevity versus frequency in language

Autor: Casas, Bernardino, Hernández-Fernández, Antoni, Català, Neus, Ferrer-i-Cancho, Ramon, Baixeries, Jaume

Publikováno v: Computer Speech and Language 58, 19-50 (2019)

The pioneering research of G. K. Zipf on the relationship between word frequency and other word features led to the formulation of various linguistic laws. The most popular is Zipf's law for word frequencies. Here we focus on two laws that have been

Externí odkaz: http://arxiv.org/abs/1904.00812

Zobrazit plný text záznamu

Akademický článek

Acquisition of temporal patterns from electronic health records: an application to multimorbid patients.

Autor: Ageno, Alicia^1,2 (AUTHOR) ageno@cs.upc.edu, Català, Neus^1,2 (AUTHOR), Pons, Marcel³ (AUTHOR)

Publikováno v: BMC Medical Informatics & Decision Making. 9/19/2023, Vol. 23 Issue 1, p1-15. 15p.

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

The polysemy of the words that children learn over time

Autor: Casas, Bernardino, Català, Neus, Ferrer-i-Cancho, Ramon, Hernández-Fernández, Antoni, Baixeries, Jaume

Publikováno v: Interaction Studies 19 (3), 389-426 (2018)

Here we study polysemy as a potential learning bias in vocabulary learning in children. Words of low polysemy could be preferred as they reduce the disambiguation effort for the listener. However, such preference could be a side-effect of another bia

Externí odkaz: http://arxiv.org/abs/1611.08807

Zobrazit plný text záznamu