Domain Expert Platform for Goal-Oriented Dialog Collection

Didzis Goško, Arturs Znotins, Inguna Skadina, Normunds Gruzitis, Gunta Nešpore-Bērzkalne
2021 Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations   unpublished
Today, most dialogue systems are fully or partly built using neural network architectures. A crucial prerequisite for the creation of a goaloriented neural network dialogue system is a dataset that represents typical dialogue scenarios and includes various semantic annotations, e.g. intents, slots and dialogue actions, that are necessary for training a particular neural network architecture. In this demonstration paper, we present an easy to use interface and its backend which is oriented to
more » ... ain experts for the collection of goal-oriented dialogue samples. The platform not only allows to collect or write sample dialogues in a structured way, but also provides a means for simple annotation and interpretation of the dialogues. The platform itself is language-independent; it depends only on the availability of particular language processing components for a specific language. It is currently being used to collect dialogue samples in Latvian (a highly inflected language) which represent typical communication between students and the student service.
doi:10.18653/v1/2021.eacl-demos.35 fatcat:jkodejqjbbecfepabpo4b7b4ja