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Mark Ormerod

Biographic Data

ID6536800
NAMEMark Ormerod
GIVEN NAMESMark
FAMILY NAMEOrmerod
SIGNATUREORMEROD M
AFFILIATIONSQueen’s University Belfast. [email protected]
ORCID0000-0003-3454-2863
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2023
H-INDEX1
  • How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models

    Open Access•Mark Ormerod, Jesús Martínez del Rincón et al.•ARTICLE•Computational Linguistics•2023•Cited by: 1•References: 1

    Despite the success of Transformer-based language models in a wide variety of natural language processing tasks, our understanding of how these models process a given input in order to represent task-relevant information remains incomplete. In this work, we focus on semantic composition and examine how Transformer-based language models represent semantic information related to the meaning of English noun-noun compounds. We probe Transformer-based…

  • Big society, little justice? Community renewable energy and the politics of localism

    Open Access•Philip Catney, Sherilyn Macgregor et al.•ARTICLE•Local Environment•2014

    This paper challenges “Big Society (BS) Localism”, seeing it as an example of impoverished localist thinking which neglects social justice considerations. We do this through a critical examination of recent turns in the localist discourse in the UK which emphasise self-reliant communities and envisage a diminished role for the state. We establish a heuristic distinction between positive and negative approaches to localism. We argue that the Coali…

  • How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models

    Open Access•Mark Ormerod, Jesús Martínez del Rincón et al.•ARTICLE•Computational Linguistics•2023•Cited by: 1•References: 1

    Despite the success of Transformer-based language models in a wide variety of natural language processing tasks, our understanding of how these models process a given input in order to represent task-relevant information remains incomplete. In this work, we focus on semantic composition and examine how Transformer-based language models represent semantic information related to the meaning of English noun-noun compounds. We probe Transformer-based…

  • Big society, little justice? Community renewable energy and the politics of localism

    Open Access•Philip Catney, Sherilyn Macgregor et al.•ARTICLE•Local Environment•2014

    This paper challenges “Big Society (BS) Localism”, seeing it as an example of impoverished localist thinking which neglects social justice considerations. We do this through a critical examination of recent turns in the localist discourse in the UK which emphasise self-reliant communities and envisage a diminished role for the state. We establish a heuristic distinction between positive and negative approaches to localism. We argue that the Coali…

  • How Is a “Kitchen Chair” like a “Farm Horse”? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models

    Open Access•Mark Ormerod, Jesús Martínez del Rincón et al.•ARTICLE•Computational Linguistics•2023•Cited by: 1•References: 1

    Despite the success of Transformer-based language models in a wide variety of natural language processing tasks, our understanding of how these models process a given input in order to represent task-relevant information remains incomplete. In this work, we focus on semantic composition and examine how Transformer-based language models represent semantic information related to the meaning of English noun-noun compounds. We probe Transformer-based…

Artificial Intelligence (1 works) · Big Society (1 works) · Civil society (1 works) · Computer Science (1 works) · Housing, Finance, and Neoliberalism (1 works) · Ideology (1 works) · Law (1 works) · Law and economics (1 works) · Localism (1 works) · Natural language processing (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae