Popular GitHub Repositories for Atis

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.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Complete code for the proposed CNN-Transformer model for natural language understanding.

Train NLU on ATIS dataset

Weather-Flight-Bot, a combined model of semantics slot-filling and intent detection powered by neural network (LSTM and CNN layers).

In this project, you will learn how to generate a complete semantic parse of utterances. First, you will make a discovery on your dataset to get insights about the dataset analytics. Then, you will learn, to extract entities with two different techniques – with spaCy Matcher and by walking on the dependency tree. Next, you will learn different ways of performing intent recognition by analyzing the sentence structure. Finally, you will put all the information together to generate a semantic parse.

Named Entity Recognition on ATIS dataset with Transformers