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Context Matters: A Pragmatic Study of PLMs’ Negation Understanding
In linguistics, there are two main perspectives on negation: a semantic and a pragmatic view.
Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns
In this article, we explore the shallow heuristics used by transformer-based pre-trained language models (PLMs) that are fine-tuned for natural language inference (NLI).
Exploring the Promises of Transformer-Based LMs for the Representation of Normative Claims in the Legal Domain
In this article, we explore the potential of transformer-based language models (LMs) to correctly represent normative statements in the legal domain, taking tax law as our use case.
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