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2022 ACL ACL 2022

Context Matters: A Pragmatic Study of PLMs’ Negation Understanding

Abstract

AbstractIn linguistics, there are two main perspectives on negation: a semantic and a pragmatic view. So far, research in NLP on negation has almost exclusively adhered to the semantic view. In this article, we adopt the pragmatic paradigm to conduct a study of negation understanding focusing on transformer-based PLMs. Our results differ from previous, semantics-based studies and therefore help to contribute a more comprehensive – and, given the results, much more optimistic – picture of the PLMs’ negation understanding.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — linguistic pragmatics
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Reto Gubelmann , Siegfried Handschuh

Topics

Machine Learning > Application Areas > Domain Adaptation Deep Learning > Architectures > Transformers Deep Learning > Models > Large Language Models Natural Language Processing > Applications > Natural Language Understanding Deep Learning > Models > Language Models

Keywords

transfer learning semantic parsing semantic analysis natural language understanding pre-trained language model pretrained language model negation understanding transformer model linguistic pragmatics
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