Zobrazeno 1 - 10
of 8 332
pro vyhledávání: '"Shardlow A"'
Autor:
Vásquez-Rodríguez, Laura, Nguyen, Nhung T. H., Przybyła, Piotr, Shardlow, Matthew, Ananiadou, Sophia
In this paper, we present the SimDoc system, a simplification model considering simplicity, readability, and discourse aspects, such as coherence. In the past decade, the progress of the Text Simplification (TS) field has been mostly shown at a sente
Externí odkaz:
http://arxiv.org/abs/2412.18655
Autor:
Ventirozos, Filippos, Nteka, Ioanna, Nandy, Tania, Baca, Jozef, Appleby, Peter, Shardlow, Matthew
This paper presents a case study on the development of Auto-AdvER, a specialised named entity recognition schema and dataset for text in the car advertisement genre. Developed with industry needs in mind, Auto-AdvER is designed to enhance text mining
Externí odkaz:
http://arxiv.org/abs/2412.05655
Priors with non-smooth log densities have been widely used in Bayesian inverse problems, particularly in imaging, due to their sparsity inducing properties. To date, the majority of algorithms for handling such densities are based on proximal Langevi
Externí odkaz:
http://arxiv.org/abs/2411.11403
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles
This paper presents the setup and results of the second edition of the BioLaySumm shared task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP Workshop at ACL 2024. In this task edition, we aim to build on the first edit
Externí odkaz:
http://arxiv.org/abs/2408.08566
Autor:
Li, Zihao, Belkadi, Samuel, Micheletti, Nicolo, Han, Lifeng, Shardlow, Matthew, Nenadic, Goran
In this system report, we describe the models and methods we used for our participation in the PLABA2023 task on biomedical abstract simplification, part of the TAC 2023 tracks. The system outputs we submitted come from the following three categories
Externí odkaz:
http://arxiv.org/abs/2408.03871
Autor:
Mercer, Jean
Publikováno v:
The British Journal of Social Work, 2012 Apr 01. 42(3), 556-559.
Externí odkaz:
https://www.jstor.org/stable/43771660
We derive an algorithm for compression of the currents and varifolds representations of shapes, using the Nystrom approximation in Reproducing Kernel Hilbert Spaces. Our method is faster than existing compression techniques, and comes with theoretica
Externí odkaz:
http://arxiv.org/abs/2406.09932
Publikováno v:
The American Law Register (1852-1891), 1857 Nov 01. 6(1), 6-27.
Externí odkaz:
https://www.jstor.org/stable/3301911
Publikováno v:
In Computer Physics Communications July 2014 185(7):1987-1998
Lexical Simplification (LS) automatically replaces difficult to read words for easier alternatives while preserving a sentence's original meaning. LS is a precursor to Text Simplification with the aim of improving text accessibility to various target
Externí odkaz:
http://arxiv.org/abs/2402.14972