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Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices

Autor: Schmidtová, Patrícia, Mahamood, Saad, Balloccu, Simone, Dušek, Ondřej, Gatt, Albert, Gkatzia, Dimitra, Howcroft, David M., Plátek, Ondřej, Sivaprasad, Adarsa

Automatic metrics are extensively used to evaluate natural language processing systems. However, there has been increasing focus on how they are used and reported by practitioners within the field. In this paper, we have conducted a survey on the use

Externí odkaz: http://arxiv.org/abs/2408.09169

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Akademický článek

Discovering patterns in outpatient neurology appointments using state sequence analysis

Autor: Fran Biggin, Quinta Ashcroft, Timothy Howcroft, Jo Knight, Hedley Emsley

Publikováno v: BMC Health Services Research, Vol 23, Iss 1, Pp 1-13 (2023)

Abstract Background Outpatient services in the UK, and in particular outpatient neurology services, are under considerable pressure with an ever-increasing gap between capacity and demand. To improve services, we first need to understand the current

Externí odkaz: https://doaj.org/article/25083dba3f6a40408dcdc1dc955f0d2f

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OTTers: One-turn Topic Transitions for Open-Domain Dialogue

Autor: Sevegnani, Karin, Howcroft, David M., Konstas, Ioannis, Rieser, Verena

Publikováno v: ACL2021

Mixed initiative in open-domain dialogue requires a system to pro-actively introduce new topics. The one-turn topic transition task explores how a system connects two topics in a cooperative and coherent manner. The goal of the task is to generate a

Externí odkaz: http://arxiv.org/abs/2105.13710

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Akademický článek

The cultural politics of civic pride through Hull UK City of Culture 2017

Autor: Howcroft, Michael

Publikováno v: Arts and the Market, 2023, Vol. 13, Issue 3, pp. 138-158.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/AAM-08-2021-0043

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Akademický článek

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Semantic Noise Matters for Neural Natural Language Generation

Autor: Dušek, Ondřej, Howcroft, David M., Rieser, Verena

Neural natural language generation (NNLG) systems are known for their pathological outputs, i.e. generating text which is unrelated to the input specification. In this paper, we show the impact of semantic noise on state-of-the-art NNLG models which

Externí odkaz: http://arxiv.org/abs/1911.03905

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The Bach Doodle: Approachable music composition with machine learning at scale

Autor: Huang, Cheng-Zhi Anna, Hawthorne, Curtis, Roberts, Adam, Dinculescu, Monica, Wexler, James, Hong, Leon, Howcroft, Jacob

To make music composition more approachable, we designed the first AI-powered Google Doodle, the Bach Doodle, where users can create their own melody and have it harmonized by a machine learning model Coconet (Huang et al., 2017) in the style of Bach

Externí odkaz: http://arxiv.org/abs/1907.06637

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On the Geometrically Exact Low Order Modelling of a Flexible Beam: Formulation and Numerical Tests

Autor: Howcroft, C., Cook, R. G., Neild, S. A., Lowenberg, M. H., Cooper, J. E., Coetzee, E. B.

This paper proposes a low order geometrically exact flexible beam formulation based on the utilisation of generic beam shape functions to approximate distributed kinematic properties of the deformed structure. The proposed nonlinear beam shapes appro

Externí odkaz: http://arxiv.org/abs/1806.11510

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