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"
Türkçe veri seti üzerinde ELMo ve Derin Öğrenme teknikleri ile Metin Sınıflandırma
Code and data for the paper 'Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings'
Examples of ELMO and PESC transcripts in XML
An application that can automatically grade and score short answers
Multi-Label Toxic Comment Detection
A project to explore the use of transfer learning in GANs to produce photo realistic images of human faces from its description
Noun Compositionality Detection Using Distributional Semantics for the Russian Language
Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.
Sequence Labeling models
Deep Learning technique for news headlines classification
natural language processing and computer vision use cases for non technical user
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