# Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline

arXiv: https://arxiv.org/abs/1907.05403 · HTML: https://mlsanity.com/paper/1907.05403/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Jul 2019.

## Built on by (most cited first, 2 of 2)

- [When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality](https://mlsanity.com/paper/2402.13113/) (2024)
- [Voice-Based Smart Assistant System for Vehicles using RASA](https://mlsanity.com/paper/2312.01642/) (2023)

## Abstract (arXiv)

As spoken dialogue systems and chatbots are gaining more widespread adoption, commercial and open-sourced services for natural language understanding are emerging. In this paper, we explain how we altered the open-source RASA natural language understanding pipeline to process incrementally (i.e., word-by-word), following the incremental unit framework proposed by Schlangen and Skantze. To do so, we altered existing RASA components to process incrementally, and added an update-incremental intent recognition model as a component to RASA. Our evaluations on the Snips dataset show that our changes allow RASA to function as an effective incremental natural language understanding service.