English

Rasa: Open Source Language Understanding and Dialogue Management

Computation and Language 2017-12-18 v2 Artificial Intelligence Machine Learning

Abstract

We introduce a pair of tools, Rasa NLU and Rasa Core, which are open source python libraries for building conversational software. Their purpose is to make machine-learning based dialogue management and language understanding accessible to non-specialist software developers. In terms of design philosophy, we aim for ease of use, and bootstrapping from minimal (or no) initial training data. Both packages are extensively documented and ship with a comprehensive suite of tests. The code is available at https://github.com/RasaHQ/

Keywords

Cite

@article{arxiv.1712.05181,
  title  = {Rasa: Open Source Language Understanding and Dialogue Management},
  author = {Tom Bocklisch and Joey Faulkner and Nick Pawlowski and Alan Nichol},
  journal= {arXiv preprint arXiv:1712.05181},
  year   = {2017}
}

Comments

Presented at NIPS Workshop on Conversational AI, Code at https://github.com/RasaHQ

R2 v1 2026-06-22T23:17:55.556Z