Technological taxonomies for hypernym and hyponym retrieval in patent texts

Autor:	Zuo, You, Li, Yixuan, García, Alma Parias, Gerdes, Kim
Rok vydání:	2022
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: ToTh 2022 - Terminology & Ontology: Theories and applications, Jun 2022, Chamb{\'e}ry, France
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2212.06039 Zobrazit plný text záznamu View this record from Arxiv