VOCAB-EXPANDER: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings
Karlsruhe Institute of Technology (KIT), Institute AIFB, Karlsruhe, Germany 1; Färber, Michael
1; Popovic, Nicholas 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
1; Popovic, Nicholas 11 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)
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 tech-
niques 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 poten-
tial 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.
niques 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 poten-
tial 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.
| Zugehörige Institution(en) am KIT | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsjahr | 2023 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-9544520922 ISSN: 1313-8502 KITopen-ID: 1000165953 |
| Erschienen in | International Conference "Recent Advances in natural Language Processing" (RANLP 2023): Large Language Models for Natural Language Processing, Varna, Sep 4–6, 2023 |
| Veranstaltung | International Conference on Recent Advances in Natural Language Processing (2023), Warna, Bulgarien, 04.09.2023 – 06.09.2023 |
| Verlag | INCOMA Ltd., Shoumen, BULGARIA |
| Seiten | 331 – 335 |
| Externe Relationen | Konferenz |
| Nachgewiesen in | Dimensions OpenAlex Scopus |
| Globale Ziele für nachhaltige Entwicklung |
