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LREC-COLING 2024main

From Technology to Market. Bilingual Corpus on the Evaluation of Technology Opportunity Discovery

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

DOI:10.63317/4b86nysjvafn

Abstract

As companies aim to enhance and expand their product portfolios, Technology Opportunity Discovery (TOD) has gained increasing interest. To comprehend the role of emerging technologies in innovation, we introduce a novel technology-market corpus in English and Japanese languages, and conduct a comprehensive empirical evaluation of the linkage between technology and the market. Our dataset comprises English patents extracted from the USPTO database and Japanese patents from the Japanese Patent Office (JPO), along with their associated products for each stock market company. We compare several static and contextualized word embedding methods to construct a technology-market space and propose an effective methodology based on a fine-tuned BERT model for linking technology to the market.

Details

Paper ID
lrec2024-main-0663
Pages
pp. 7510-7520
BibKey
hazem-etal-2024-technology
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
2522-2686
ISBN
979-10-95546-34-4
Conference
Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Location
Turin, Italy
Date
20 May 2024 25 May 2024

Authors

  • AH

    Amir Hazem

  • KM

    Kazuyuki Motohashi

  • CZ

    Chen Zhu

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