Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
2021-01-07Code Available0· sign in to hype
Oscar Sainz, German Rigau
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ReproduceCode
- github.com/osainz59/Ask2TransformersOfficialIn paperpytorch★ 152
Abstract
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| BabelDomains | A2T | F1-Score | 92.14 | — | Unverified |