Technological taxonomies for hypernym and hyponym retrieval in patent texts
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Abstract (arXiv)
This paper presents an automatic approach to creating taxonomies of technical terms based on the Cooperative Patent Classification (CPC). The resulting taxonomy contains about 170k nodes in 9 separate technological branches and is freely available. We also show that a Text-to-Text Transfer Transformer (T5) model can be fine-tuned to generate hypernyms and hyponyms with relatively high precision, confirming the manually assessed quality of the resource. The T5 model opens the taxonomy to any new technological terms for which a hypernym can be generated, thus making the resource updateable with new terms, an essential feature for the constantly evolving field of technological terminology.
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References · 7
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
- 2014Embedding Entities and Relations for Learning and Inference in Knowledge Basescited by 929
- 2019KG-BERT: BERT for Knowledge Graph Completioncited by 323
- 2017A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Networkcited by 143
- 2018Predicting Semantic Relations using Global Graph Propertiescited by 4
- 2017Negative Sampling Improves Hypernymy Extraction Based on Projection Learningcited by 1
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