Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Paul Nulty"'
Publikováno v:
Journal of Data Mining and Digital Humanities, Vol NLP4DH (2022)
The contextual word embedding model, BERT, has proved its ability on downstream tasks with limited quantities of annotated data. BERT and its variants help to reduce the burden of complex annotation work in many interdisciplinary research areas, for
Externí odkaz:
https://doaj.org/article/9bd0801333c94380b6131855f6bbffd5
Publikováno v:
Representations. 149:73-102
This paper presents a computational method for assessing the uses of the category “genre.” It takes as its example the long-standing “Adam Smith” problem, which seeks to settle whether Smith’s two major works, The Theory of Moral Sentiments
Autor:
Paul Nulty
Publikováno v:
Encyclopedia of Big Data ISBN: 9783319320014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4363503ecb85834b2d222e01c3edb79e
https://doi.org/10.1007/978-3-319-32010-6_182
https://doi.org/10.1007/978-3-319-32010-6_182
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783031084720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9d3d0546513712032255ac18aba0bcf
https://doi.org/10.1007/978-3-031-08473-7_4
https://doi.org/10.1007/978-3-031-08473-7_4
Publikováno v:
Contributions to the History of Concepts. 14:66-92
This article proposes a novel computational method for discerning the structure and history of concepts. Based on the analysis of co-occurrence data in large data sets, the method creates a measure of “binding” that enables the construction of ve
Publikováno v:
NLPIR
Word embeddings act as an important component of deep models for providing input features in downstream language tasks, such as sequence labelling and text classification. In the last decade, a substantial number of word embedding methods have been p
Autor:
David Lillis, Paul Nulty
Publikováno v:
SemEval@COLING
This paper describes the UCD system entered for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. We propose a novel method based on distance between temporally referenced nodes in a semantic network constructed from a combination
Publikováno v:
International Journal for History, Culture and Modernity, Vol 7, Iss 0 (2019)
This essay sets out a new method for the history of ideas. Using a mixed approach combining computer assisted reading methods with more traditional close reading, the essay tracks the evolution of a set of terms over the eighteenth century that have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a235eefdc5a3a3926b48ceeb78e385e0
https://www.repository.cam.ac.uk/handle/1810/291260
https://www.repository.cam.ac.uk/handle/1810/291260
Autor:
Paul Nulty, Ewan Jones
The complexity of literary language proves stubbornly difficult to isolate, for reasons that we can label as both absolute and relative. On the one hand, complexity is commonly understood as an intrinsic property of literature, which distinguishes it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75cd4e14f74fc02dd1335e3d26399ad0
This article uses computational and statistical methods for analyzing the concept of liberty 1600-1800. Based on a bespoke set of tools for parsing conceptual structures it contributes to the literature on the concept of liberty and engages with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8726aee22018619fc0ca4db1b09ba942