Zobrazeno 1 - 10
of 4 775
pro vyhledávání: '"Tsakalidis A"'
Publikováno v:
Telecom, Vol 5, Iss 1, Pp 48-48 (2024)
There was an error in the original publication [...]
Externí odkaz:
https://doaj.org/article/e8110f92ecc34830937fb498c0b5b293
Dynamic representation learning plays a pivotal role in understanding the evolution of linguistic content over time. On this front both context and time dynamics as well as their interplay are of prime importance. Current approaches model context via
Externí odkaz:
http://arxiv.org/abs/2408.15689
Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for enhancing data augmentation for improving machine learning models performance as well as addressing concerns related to sensitive data privacy. Therefore, the
Externí odkaz:
http://arxiv.org/abs/2404.08866
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines, appropriate for mental health monitoring. The summaries combine two d
Externí odkaz:
http://arxiv.org/abs/2401.16240
Autor:
Tseriotou, Talia, Chan, Ryan Sze-Yin, Tsakalidis, Adam, Bilal, Iman Munire, Kochkina, Elena, Lyons, Terry, Liakata, Maria
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling. A central focus is the incorporation of Signature-based Neural Network models, which have recently shown success in temporal
Externí odkaz:
http://arxiv.org/abs/2312.03523
The use of spontaneous language to derive appropriate digital markers has become an emergent, promising and non-intrusive method to diagnose and monitor dementia. Here we propose methods to capture language coherence as a cost-effective, human-interp
Externí odkaz:
http://arxiv.org/abs/2310.09623
There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts into timelines in a meaningful way that improves the quality and cost
Externí odkaz:
http://arxiv.org/abs/2303.05891
Autor:
Cristina Oana Mǎrginean, Lorena Elena Meliţ, Anca Meda Vǎsieşiu, Andrea Anzanello, Celeste Antão, Aelita Bredelyte, Christos Tsakalidis, Radu Lupescu, Leonard Azamfirei
Publikováno v:
Frontiers in Education, Vol 9 (2024)
The medical world carries a major burden in terms of specialized human resource and infrastructure. The recent COVID-19 pandemics revealed an urgent need for specialized medical professionals in order to preempt future natural disasters. The aim of t
Externí odkaz:
https://doaj.org/article/0b7d54251fdd48179fc3270ffcd673ed
Opinion summarisation synthesises opinions expressed in a group of documents discussing the same topic to produce a single summary. Recent work has looked at opinion summarisation of clusters of social media posts. Such posts are noisy and have unpre
Externí odkaz:
http://arxiv.org/abs/2211.14923
We introduce I/O-optimal certifying algorithms for bipartite graphs, as well as for the classes of split, threshold, bipartite chain, and trivially perfect graphs. When the input graph is a class member, the certifying algorithm returns a certificate
Externí odkaz:
http://arxiv.org/abs/2210.13057