6533b860fe1ef96bd12c384f

RESEARCH PRODUCT

Intent Detection System Based on Word Embeddings

Kaspars BalodisDaiga Deksne

subject

Computer sciencebusiness.industry0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesNeural network classifier010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingImage tracingArtificial intelligenceDialog systembusinesscomputerWord (computer architecture)Natural language processingSentence

description

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.

yearjournalcountryeditionlanguage
2018-01-01
https://doi.org/10.1007/978-3-319-99344-7_3