Results 91 to 100 of about 712 (175)
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
Advances in NLP have yielded impressive results for the task of machine reading comprehension (MRC), with approaches having been reported to achieve performance comparable to that of humans.
Schlegel, Viktor; id_orcid +2 more
core +2 more sources
Abstract Understanding the turnover of proteins in tissues gives information as to how external stimuli result in phenotypic change. Nowhere is such phenotypic change more conspicuous than skeletal muscle, which can be effectively remodelled by increased loading, ageing and unloading (disuse), all of which are subject to modification by nutrition and ...
Changhyun Lim +12 more
wiley +1 more source
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
Named Entity Recognition (NER) aims to extract and classify entity mentions in the text into pre-defined types (e.g., organization or person name). Recently, many works have been proposed to shape the NER as a machine reading comprehension problem (also ...
Zhao, Wenting +4 more
core
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
An in-depth analysis of the level of language understanding required by existing Machine Reading Comprehension (MRC) benchmarks can provide insight into the reading capabilities of machines.
Schlegel, Viktor; id_orcid +5 more
core +1 more source
Abstract figure legend Overview of cerebral small vessel disease (cSVD) pathophysiology and current modelling challenges. Left: clinical burden and key unresolved research questions. Right: neurovascular unit (NVU) architecture highlighting sites of cSVD pathology across arterioles, capillaries and venules, including interactions between endothelial ...
Sophie Beaumont +3 more
wiley +1 more source
Objective Here we investigate the status of the adiponectin–PEPITEM pathway in early, treatment naive rheumatoid arthritis (RA) and psoriatic arthritis (PsA) and the therapeutic efficacy of PEPITEM administration in preclinical models. Methods Peripheral blood was isolated from patients with clinical suspect arthralgia and suspected inflammatory ...
Mussarat Wahid +34 more
wiley +1 more source
Aims The repurposed use of favipiravir in COVID‐19 has been reported to have limited clinical efficacy, yet it has been widely used in some countries. Favipiravir causes mutagenesis in RNA viruses, and it is currently unknown whether it may have a measurable effect on the virus in humans.
Akosua A. Agyeman +9 more
wiley +1 more source
Partial Least Squares Regression Models for Outdoor Air Pollutant Forecasting
ABSTRACT Atmospheric pollution presents a significant global health burden, yet the establishment and maintenance of extensive ‘gold standard’ monitoring networks remain prohibitively expensive. We explore the potential of machine learning to create virtual monitoring sites for predicting and reconstructing urban air pollutant concentrations, offering ...
Beatriz Galindo‐Prieto +2 more
wiley +1 more source
Document Re-Ranking Model for Machine-Reading and Comprehension
Recently, the performance of machine-reading and comprehension (MRC) systems has been significantly enhanced. However, MRC systems require high-performance text retrieval models because text passages containing answer phrases should be prepared in ...
Youngjin Jang, Harksoo Kim
core +1 more source
Machine Reading Comprehension for the Tamil Language With Translated SQuAD
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries.
Anton Vijeevaraj Ann Sinthusha +2 more
doaj +1 more source

