@inproceedings{48d6021c9a0e4179919c3af2970413a0,
title = "Intent detection system based on word embeddings",
abstract = "Intent detection is one of the main tasks of a dialogue system. In this paper we present our intent detection system that is based on FastText word embeddings and neural network classifier. We find a significant improvement in the FastText sentence vectorization. The results show that our intent detection system provides state-of-the-art results on three English datasets outperforming many popular services.",
keywords = "Dialog system, Intent detection, Word embeddings",
author = "Kaspars Balodis and Daiga Deksne",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 18th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2018 ; Conference date: 12-09-2018 Through 14-09-2018",
year = "2018",
doi = "10.1007/978-3-319-99344-7\_3",
language = "English",
isbn = "9783319993430",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "25--35",
editor = "\{van Genabith\}, Josef and Gennady Agre and Thierry Declerck",
booktitle = "Artificial Intelligence",
address = "Germany",
}