Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
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Updated
Apr 21, 2020 - Python
Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs
Using pre trained word embeddings (Fasttext, Word2Vec)
CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
GloVe word vector embedding experiments (similar to Word2Vec)
A Tensorflow 2, Keras implementation of POS tagging using Bidirectional LSTM-CRF on Penn Treebank corpus (WSJ)
Sentiment Analysis using LSTM cells on Recurrent Networks. GloVe word embeddings were used for vector representation of words. Amazon Product Reviews were used as Dataset.
Fake news generator and detector using keras
A private, free, open-source search engine built on a P2P network
[not maintained anymore] [for study purpose] A simple PyTorch implementation for "Global Vectors for Word Representation".
A text classification model with pretrained GloVe embeddings
Ask Me: Question Generating Agent
A stacked LSTM based Network for Text Summarization Using Keras
A fast implementation of GloVe, with optional retrofitting
A simple document and image search engine implemented in keras
Bi-Directional Attention Flow for Machine Comprehensions
Text classification using GloVe embeddings, CNN and stacked bi-directional LSTM with Max K Pooling.
This is the repository for the Sentiment Analysis task on IMDB Movie Reviews for classifying positive and negative reviews, using LSTM networks, TensorFlow and GloVe embedding.
Debiasing both contextual and context free embeddings and developing a downstream metric for bias measurement
Text Classification with veritically stacked LSTMs and sibling loss functions using GloVe embeddings (Tensorflow)
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