GitHub / Rishabbh-Sahu / intent_and_slot_classification

One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Rishabbh-Sahu%2Fintent_and_slot_classification

Topics: bert, bert-small, conversational-ai, cuda11, flask-api, gpu-acceleration, huggingface-fast-tokenizer, intent-classification, joint-models, multitask-learning, natural-language-processing, ner, nlu, nlu-engine, sequence-classification, slot-classification, slot-filling, tensorflow2, transfer-learning, transformer

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