Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Michael F\"arber, Nicholas Popovic

TL;DR
Vocab-Expander is an online tool that leverages multiple word embedding methods and ConceptNet to help users create and expand domain-specific vocabularies efficiently.
Contribution
It introduces a user-friendly system combining diverse embeddings and knowledge bases for tailored vocabulary expansion in various fields.
Findings
Effective in generating relevant domain-specific terms
Supports diverse use cases like information retrieval and education
Easy-to-use interface for quick user validation
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.
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Taxonomy
TopicsNatural Language Processing Techniques · Semantic Web and Ontologies · Topic Modeling
