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Found 5 papers, 2 papers with code
Topic Modelling Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
This paper addresses a critical gap in legal analytics by developing and applying a novel taxonomy for topic modelling summary judgment cases in the United Kingdom.
LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset
We use the Cambridge Law Corpus of 356, 011 UK court decisions and determine that the large language model achieves a weighted F1 score of 0. 94 versus 0. 78 for keywords.
Can Social Ontological Knowledge Representations be Measured Using Machine Learning?
That such co-occurrence carries an implied social ontology, one that is specific to that person.
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors
We then attempt to digitise these using word embeddings into a multi-dimensioned sentence level fairness perceptions vector to serve as an approximation for these fairness perceptions.
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning
In this paper we consider how to algorithmically operationalise this rule so that it may be used to measure sentences such as: the boy harmed the girl, and categorise them as fair or unfair.
