Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
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Updated
Mar 21, 2021 - Jupyter Notebook
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
This is NLP project of text multi-classification. My pre-trained model classify speech into three different categories offensive, hateful and neither.
This project used in my dissertation for detecting sarcasm in twitter dataset using Sate-of-the-Art Transformer
Question Answering Chatbot with DistilRoBERTa Sentence Embeddings, Dialogflow and Ngrok
A sophisticated multilabel text classification model to seamlessly categorize diverse quote tags.
Data and models to extract toponyms and spatio-temporal entities from text data.
Using Task Specific Knowledge Distillation to obtain DistilRoBERTa model fine-tuned on SST-2 part of the GLUE dataset for sentiment analysis.
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