Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings

Michael Faerber, Nicholas Popovic


Abstract
In this paper, we propose Vocab-Expander at https://vocab-expander.com, an online tool that enables end-users (e.g., technology scouts) to create and expand a vocabulary of their domain of interest. It utilizes an ensemble of state-of-the-art word embedding techniques based on web text and ConceptNet, a common-sense knowledge base, to suggest related terms for already given terms. The system has an easy-to-use interface that allows users to quickly confirm or reject term suggestions. Vocab-Expander offers a variety of potential use cases, such as improving concept-based information retrieval in technology and innovation management, enhancing communication and collaboration within organizations or interdisciplinary projects, and creating vocabularies for specific courses in education.
Anthology ID:
2023.ranlp-1.37
Volume:
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
Month:
September
Year:
2023
Address:
Varna, Bulgaria
Editors:
Ruslan Mitkov, Galia Angelova
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
331–335
Language:
URL:
https://aclanthology.org/2023.ranlp-1.37
DOI:
Bibkey:
Cite (ACL):
Michael Faerber and Nicholas Popovic. 2023. Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 331–335, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings (Faerber & Popovic, RANLP 2023)
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PDF:
https://aclanthology.org/2023.ranlp-1.37.pdf