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Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models

2021-01-07 18:04:39
Oscar Sainz, German Rigau

Abstract

tract: In this paper we present a system that exploits different pre-trained Language Models for assigning domain labels to WordNet synsets without any kind of supervision. Furthermore, the system is not restricted to use a particular set of domain labels. We exploit the knowledge encoded within different off-the-shelf pre-trained Language Models and task formulations to infer the domain label of a particular WordNet definition. The proposed zero-shot system achieves a new state-of-the-art on the English dataset used in the evaluation.

Abstract (translated)

URL

https://arxiv.org/abs/2101.02661

PDF

https://arxiv.org/pdf/2101.02661


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