LUIS: data collection for task oriented dialogue system creation

  Autori

Gunta, Nešpore-Bērzkalne ; Skadiņa, Inguna ; Grūzītis, Normunds ; Znotiņš, Artūrs and Goško, Didzis

  Vienuma identifikators

http://hdl.handle.net/20.500.12574/47

 Projekta URL

http://bots.ailab.lv/

 Demonstrācijas URL

http://bots.ailab.lv/

 Norāde

https://ebooks.iospress.nl/volumearticle/55530
https://www.aclweb.org/anthology/2021.eacl-demos.35/

 Izdošanas datums

2021

 Tips

corpus, text

 Valoda(-s)

Latvian

 Apraksts

This multi-targeted dataset contains several datasets that allow to train goal-oriented dialogue systems for student service domain in Latvian. The dataset contains a manually annotated dataset of domain-specific dialog intents, a manually created and annotated dataset of generalised and formalised dialog scenarios based on corpus evidence, dataset for FAQ module training.

 Izdevējs

AiLab IMCS UL

 Atbalsts

Latvian Council of Science

Projekta kods: lzp2018/2-0216

Projekta nosaukums: Latvian Language Understanding and Generation in Human-Computer Interaction

 

COST Action

Projekta kods: CA18231

Projekta nosaukums: Multi3Generation: Multi-task, Multilingual, Multi-modal Language Generation

 Tēma(-s)

dialogue named entities intents FrameNet

 Kolekcija (s)

Language resources and tools of AiLab IMCS UL

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