Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Montserrat Batet"'
Autor:
Ildikó Pilán, Pierre Lison, Lilja Øvrelid, Anthi Papadopoulou, David Sánchez, Montserrat Batet
Publikováno v:
Computational Linguistics, Vol 48, Iss 4 (2022)
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a text document to prevent the disclosure of personal information, currentl
Externí odkaz:
https://doaj.org/article/09dc6897b73f41aeb29a8a5e42437a6a
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1762 (2021)
To comply with the EU General Data Protection Regulation (GDPR), companies managing personal data have been forced to review their privacy policies. However, privacy policies will not solve any problems as long as users do not read or are not able to
Externí odkaz:
https://doaj.org/article/2a84547ef2e04088a1a5390005f9f03e
Autor:
Montserrat Batet, David Sánchez
Publikováno v:
Artificial Intelligence Review. 53:2023-2041
Semantic similarity measures based on the estimation of the information content (IC) of concepts are currently regarded as the state of the art. Calculating the IC in an intrinsic (i.e., ontology-based) way is particularly convenient due to its accur
Publikováno v:
Information Fusion. 45:282-295
Personal data are of great interest for research but, at the same time, they pose a serious privacy risk. Therefore, appropriate data protection measures should be undertaken by the data controller before making personal data available for secondary
Publikováno v:
ACL/IJCNLP (1)
Scopus-Elsevier
Scopus-Elsevier
This position paper investigates the problem of automated text anonymisation, which is a prerequisite for secure sharing of documents containing sensitive information about individuals. We summarise the key concepts behind text anonymisation and prov
Autor:
David Sánchez, Montserrat Batet
Publikováno v:
Online Information Review. 42:290-303
Purpose To overcome the limitations of purely statistical approaches to data protection, the purpose of this paper is to propose Semantic Disclosure Control (SeDC): an inherently semantic privacy protection paradigm that, by relying on state of the a
Survey and evaluation of web search engine hit counts as research tools in computational linguistics
Publikováno v:
Information Systems. 73:50-60
In recent years, many studies on computational linguistics have employed the Web as source for research. Specifically, the distribution of textual data in the Web is used to drive linguistic analyses in tasks such as information extraction, knowledge
Publikováno v:
Bioinformatics.
Motivation Detailed patient data are crucial for medical research. Yet, these healthcare data can only be released for secondary use if they have undergone anonymization. Results We present and describe µ-ANT, a practical and easily configurable ano
Publikováno v:
Applied Sciences, Vol 11, Iss 1762, p 1762 (2021)
Applied Sciences
Volume 11
Issue 4
Applied Sciences
Volume 11
Issue 4
To comply with the EU General Data Protection Regulation (GDPR), companies managing personal data have been forced to review their privacy policies. However, privacy policies will not solve any problems as long as users do not read or are not able to
Autor:
Montserrat Batet, David Sánchez
Publikováno v:
KES
Even though the calculation of the semantic similarity between textual entities has received a lot of attention by the research community, the more general notion of semantic relatedness (which considers both taxonomic and non-taxonomic knowledge) ha