Shaurya Prakash's Projects
Application to convert CSV to Excel files.
Data Sets for Workshop
Python based document scanner application code.
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
Named Entity Recognition (NER) using LSTMs with Keras
Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018)
Demonstration of Rasa NLU from Jupyter Lab
Pandoc Filter Collection
Config files for my GitHub profile.
Named Entity Recognition (LSTM + CRF) - Tensorflow
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
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking (ACL 2019)
The aim of this repository is to show a baseline model for text classification through convolutional neural networks in the PyTorch framework. The architecture implemented in this model was inspired by the one proposed in the paper: Convolutional Neural Networks for Sentence Classification.
The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.
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