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
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
462–467
Language:
URL:
https://www.aclweb.org/anthology/E17-2074
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/E17-2074.pdf