Quora-Question-Identification

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Spanish word embeddings computed with different methods and from different corpora

Using pre trained word embeddings (Fasttext, Word2Vec)

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

A monolingual and cross-lingual meta-embedding generation and evaluation framework

GloVe word vector embedding experiments (similar to Word2Vec)

This sentiment analysis project determines whether the tweets posted in the Turkish language on Twitter are positive or negative.

It's Smart-Question Answering System on short as well as long documents. It can automatically find answers to matching questions directly from documents. The deep learning language model converts the questions and documents to semantic vectors to find the matching answer.

An evaluation of word-embeddings for classification