Real-Time Keyword Extraction from Conversations
Polykarpos Meladianos, Antoine Tixier, Ioannis Nikolentzos, Michalis Vazirgiannis
Abstract
We introduce a novel method to extract keywords from meeting speech in real-time. Our approach builds on the graph-of-words representation of text and leverages the k-core decomposition algorithm and properties of submodular functions. We outperform multiple baselines in a real-time scenario emulated from the AMI and ICSI meeting corpora. Evaluation is conducted against both extractive and abstractive gold standard using two standard performance metrics and a newer one based on word embeddings.- Anthology ID:
- E17-2074
- Volume:
- Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Month:
- April
- Year:
- 2017
- Address:
- Valencia, Spain
- Editors:
- Mirella Lapata, Phil Blunsom, Alexander Koller
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 462–467
- Language:
- URL:
- https://aclanthology.org/E17-2074
- DOI:
- Cite (ACL):
- Polykarpos Meladianos, Antoine Tixier, Ioannis Nikolentzos, and Michalis Vazirgiannis. 2017. Real-Time Keyword Extraction from Conversations. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 462–467, Valencia, Spain. Association for Computational Linguistics.
- Cite (Informal):
- Real-Time Keyword Extraction from Conversations (Meladianos et al., EACL 2017)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/E17-2074.pdf