225 research outputs found
Privacy through Anonymisation in Large-scale Socio-technical Systems: Multi-lingual Contact Centres across the EU
Large-scale socio-technical systems (STS) inextricably interconnect individual â e.g., the right to privacy â, social â e.g., the eïŹectiveness of organisational processes â, and technology issues âe.g., the software engineering process. As a result, the design of the complex software infrastructure involves also non-technological aspects such as the legal onesâso that, e.g., law-abidingness can be ensured since the early stages of the software engineering process.
By focussing on contact centres (CC) as relevant examples of knowledge-intensive STS, we elaborate on the articulate aspects of anonymisation: there, individual and organisational needs clash, so that only an accurate balancing between legal and technical aspects could possibly ensure the system eïŹciency while preserving the individual right to privacy. We discuss ïŹrst the overall legal framework, then the general theme of anonymisation in CC. Finally we overview the technical process developed
in the context of the BISON project
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Personal assistants, automatic speech recognizers and dialogue understanding
systems are becoming more critical in our interconnected digital world. A clear
example is air traffic control (ATC) communications. ATC aims at guiding
aircraft and controlling the airspace in a safe and optimal manner. These
voice-based dialogues are carried between an air traffic controller (ATCO) and
pilots via very-high frequency radio channels. In order to incorporate these
novel technologies into ATC (low-resource domain), large-scale annotated
datasets are required to develop the data-driven AI systems. Two examples are
automatic speech recognition (ASR) and natural language understanding (NLU). In
this paper, we introduce the ATCO2 corpus, a dataset that aims at fostering
research on the challenging ATC field, which has lagged behind due to lack of
annotated data. The ATCO2 corpus covers 1) data collection and pre-processing,
2) pseudo-annotations of speech data, and 3) extraction of ATC-related named
entities. The ATCO2 corpus is split into three subsets. 1) ATCO2-test-set
corpus contains 4 hours of ATC speech with manual transcripts and a subset with
gold annotations for named-entity recognition (callsign, command, value). 2)
The ATCO2-PL-set corpus consists of 5281 hours of unlabeled ATC data enriched
with automatic transcripts from an in-domain speech recognizer, contextual
information, speaker turn information, signal-to-noise ratio estimate and
English language detection score per sample. Both available for purchase
through ELDA at http://catalog.elra.info/en-us/repository/browse/ELRA-S0484. 3)
The ATCO2-test-set-1h corpus is a one-hour subset from the original test set
corpus, that we are offering for free at https://www.atco2.org/data. We expect
the ATCO2 corpus will foster research on robust ASR and NLU not only in the
field of ATC communications but also in the general research community.Comment: Manuscript under review; The code will be available at
https://github.com/idiap/atco2-corpu
Age-Related Inflammation: the Contribution of Different Organs, Tissues and Systems. How to Face it for Therapeutic Approaches
A typical feature of ageing is a chronic, low-grade inflammation characterized by a general increase in the production of proinflammatory
cytokines and inflammatory markers (âinflamm-ageingâ). This status may slowly damage one or several organs, especially
when unfavorable genetic polymorphisms and epigenetic alterations are concomitant, leading to an increased risk of frailty together with
the onset of age-related chronic diseases. The contribution of different tissues (adipose tissue, muscle), organs (brain, liver), immune
system and ecosystems (gut microbiota) to age-related inflammation (âinflamm-ageingâ) will be discussed in this review in the context of
its onset/progression leading to site-restricted and systemic effects. Moreover, some of the possible strategies and therapies to counteract
the different sources of molecular mediators which lead to the age-related inflammatory phenotype will be presente
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