Paul Nulty

Birkbeck, University of London — United Kingdom

Computer Science · Physical Sciences

11h-index1.8kcitations47works0.52yr avg
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Research Topics

Topic Modeling(20), Natural Language Processing Techniques(10), Advanced Text Analysis Techniques(7), Artificial Intelligence in Law(6), Computational and Text Analysis Methods(5)

Publications47 total

Dual-process theory and decision-making in large language models
Nature Reviews Psychology·2025· 1 cited
Thinking Fast and Slow in Large Language Models: a Review of the Decision-Making Capabilities of Generative AI Agents
2024Open Access
The Idea of Government in the British Eighteenth Century
Cambridge University Press eBooks·2023
Distributional Concept Analysis and the Digital History of Ideas
Cambridge University Press eBooks·2023· 1 cited
The Idea of Liberty, 1600–1800
Cambridge University Press eBooks·2023
Operationalising Conceptual Structure
Cambridge University Press eBooks·2023
Argument Mining with Graph Representation Learning
2023· 11 citedOpen Access
quanteda/readtext: CRAN v0.82
London School of Economics and Political Science Research Online (London School of Economics and Political Science)·2023Open Access
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
Journal of Data Mining & Digital Humanities·2022· 15 citedOpen Access
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
arXiv (Cornell University)·2022Open Access
Semantic/Content Analysis/Natural Language Processing
2022
A Decade of Legal Argumentation Mining: Datasets and Approaches
Lecture notes in computer science·2022· 6 cited
Using Pseudo-Labelled Data for Zero-Shot Text Classification
Lecture notes in computer science·2022· 2 cited
Transformer-based Multi-task Learning for Disaster Tweet Categorisation
arXiv (Cornell University)·2021· 6 citedOpen Access
Crisis Domain Adaptation Using Sequence-to-sequence Transformers
arXiv (Cornell University)·2021· 2 citedOpen Access
A Comparative Study on Word Embeddings in Deep Learning for Text Classification
2020· 105 citedOpen Access
Quantitative Analysis of Textual Data [R package quanteda version 2.1.2]
2020· 3 cited
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Frequent Co-authors

David Lillis(12), Kenneth Benoit(9), Ewan Jones(9), Gabriel Recchia(9), Peter de Bolla(8), Adam Obeng(7), Gechuan Zhang(7), Kohei Watanabe(4), Will Lowe(4), Aki Matsuo(4), Fintan Costello(4), Akitaka Matsuo(3), John Regan(3), Kohei Watanabe(3), Haiyan Wang(3), Stefan Müller(3), Pablo Barberá(3), Christopher Gandrud(3), Tyler Rinker(3), Christian Mueller(3)