Tensorflow implementation and pre-trained models of QANet for machine reading comprehension
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Updated
Jul 21, 2022 - Jupyter Notebook
Tensorflow implementation and pre-trained models of QANet for machine reading comprehension
Text Classification using ELMo Embeddings (TF HUB) and a Bi-LSTM model.
Code and data for my 3rd year thesis "Distributional semantic models in sarcasm and irony detection in blogs"
Developing a Sarcasm Detection Solution using Machine Learning and Deep Learning Approaches
Türkçe veri seti üzerinde ELMo ve Derin Öğrenme teknikleri ile Metin Sınıflandırma
Multi-Label Toxic Comment Detection
VKontakte app for ambient sound recommendation using given wall post.
NLU: Unsupervised Intent Inference
Implementing Multilingual WSD using [Normal, Atten]BiLSTM, Seq2Seq[Atten], Multitask WSD
This project is to match the offset of the pre-trained word embeddings such as BERT, ELMo, and Glove to the preprocessed token offset and its dependencies in various ways of preprocessing method such as Stanza and Spacy. Therefore, the result of this can be applied to the graph neural networks without concern of its mismatch of the preprocessed …
This repo provides a comprehensive overview of ELMo (Embeddings from Language Models), a deep contextualized word representation model,
Temporary repository used for collaboration on application of for multiple languages.
Clinical text classification to certain medical categories.
Examples of ELMO and PESC transcripts in XML
A project to explore the use of transfer learning in GANs to produce photo realistic images of human faces from its description
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