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

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

Developing a Sarcasm Detection Solution using Machine Learning and Deep Learning Approaches

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

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

Multi-Label Toxic Comment Detection

An implementation of the ELMo architecture using in rust

VKontakte app for ambient sound recommendation using given wall post.

NLU: Unsupervised Intent Inference

Getting Word Embeddings using my ELMO architecture

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.

Deep contextualized word representations 中文 汉语

Clinical text classification to certain medical categories.

Examples of ELMO and PESC transcripts in XML