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#

snips-dataset

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This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

  • UpdatedDec 8, 2022
  • Python

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

  • UpdatedFeb 4, 2021
  • Python

Natural Language Understanding(NLU) benchmark for closed domain chatbot and task-oriented artificial intelligence secretary system

  • UpdatedNov 12, 2021
  • Python

Intent detection and Slot filling joint learning on ATIS and SNIPS datasets using pre-trained models and built-from-scratch models

  • UpdatedAug 17, 2023
  • Jupyter Notebook

Quick and dirty solution to convert CSV training data into Snips JSON format and train an engine

  • UpdatedDec 9, 2021
  • Jupyter Notebook

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