NLP configuration by OB

NLP configuration by OB for the TV move backwards use case

Introduction

The current document includes the configuration of the NLP model for the TV move backwards use case in the OBs where it is available.

Brazil

The aura-nlpdata repository structure in Brazil is organized by channel: aura-nlpdata-br-[channel]. Each repository will contain the files for the available use cases in this channel.

The following configuration corresponds to the STB channel, which is included in the repository: https://github.com/Telefonica/aura-nlpdata-br-stb

Intent

intent.tv.move_backwards

Entities

  • ent.audiovisual_genre
  • ent.time_length_sec
  • ent.time_length_min
  • ent.time_length_hour
  • ent.time_instant

Pipeline stages

The following stages of STB’s pipeline have been used to develop this UC:

  • PygrapeGrammarWrapper
  • EntityTaggerAdapterWrapper

The whole pipeline.jsonfile is available at: https://github.com/Telefonica/aura-nlpdata-br-stb/blob/master/data/pt-br/stb/pipeline.json