Tensorflow implementation and pre-trained models of QANet for machine reading comprehension

Text Classification using ELMo Embeddings (TF HUB) and a Bi-LSTM model.

In this repository, I have implemented various models that transform words and texts into embeddings: Word2Vec, GloVe, FastText, ELMo, and Transformers. Additionally, modifications of these models are included. Descriptions of each model's functionality are also provided.

Code and data for my 3rd year thesis "Distributional semantic models in sarcasm and irony detection in blogs"

Code and data for the paper 'Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings'

Project for DL for NLT Course 2018 - MSc Artificial Intelligence @ UvA

This Twitter bot replies to mentions of it containing emojis with relevant Elmo GIFs!

Türkçe veri seti üzerinde ELMo ve Derin Öğrenme teknikleri ile Metin Sınıflandırma

Examples of ELMO and PESC transcripts in XML

An application that can automatically grade and score short answers

Multi-Label Toxic Comment Detection

Deep contextualized word representations 中文 汉语

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.

a mindspore version of elmo implementation

This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

A project to explore the use of transfer learning in GANs to produce photo realistic images of human faces from its description

VKontakte app for ambient sound recommendation using given wall post.

NLU: Unsupervised Intent Inference