Inproceedings3986
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Published: 2023
Buchtitel: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP'23)
Verlag: ACM
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Kurzfassung
In this paper, we propose \textsc{Vocab-Expander} at \url{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. \textsc{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.
Download: Media:Vocab-X_RANLP2023.pdf
Natürliche Sprachverarbeitung, Künstliche Intelligenz