6533b81ffe1ef96bd12784ef
RESEARCH PRODUCT
Domain Expert Platform for Goal-Oriented Dialog Collection
Didzis GoskoInguna SkadinaNormunds GruzitisGunta Nešpore-bērzkalneArturs Znotinssubject
Subject-matter expertService (systems architecture)AnnotationGoal orientationHuman–computer interactionComputer scienceInterface (Java)Sample (statistics)Dialog boxDomain (software engineering)description
Today, most dialogue systems are fully or partly built using neural network architectures. A crucial prerequisite for the creation of a goal-oriented 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 back-end which is oriented to domain 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 | Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations |