PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT-Reference-Cited by-同舟云学术

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PatentSBERTa: A deep NLP based hybrid model for patent distance and classification using augmented SBERT

Published:2024-09 Issue: Volume:206 Page:123536
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Bekamiri Hamid,Hain Daniel S.,Jurowetzki Roman

Publisher

Elsevier BV

Reference67 articles.

1. Mapping the technological landscape: measuring technology distance, technological footprints, and technology evolution;Aharonson;Res. Policy,2016

2. Mapping technology space by normalizing patent networks;Alstott;Scientometrics,2017

3. Text matching to measure patent similarity;Arts;SSRN Electron. J.,2018

4. Natural language processing to identify the creation and impact of new Technologies in Patent Text: code, data, and new measures;Arts;Res. Policy,2021

5. ANN-benchmarks: a benchmarking tool for approximate nearest neighbor algorithms;Aumüller;Inf. Syst.,2020

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