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:
- 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)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2023.ranlp-1.37.pdf