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2019_csgen_acl

code for the paper "Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text" accepted ACL 2019 https://arxiv.org/abs/1906.05725

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cntk

Microsoft Cognitive Toolkit (CNTK)

crnn-relation-classification

Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.

ctvae

Control text generation using VAE

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dynamic_node_embedding

emnlp2017-bilstm-cnn-crf

entity-aware-relation-classification

Tensorflow Implementation of "Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing" (arXiv 2019)

fewrel

A Large-Scale Few-Shot Relation Extraction Dataset

graphsage

Representation learning on large graphs using stochastic graph convolutions.

groundhog

Library for implementing RNNs with Theano

hashtagpopularityprediction

hnre

Hierarchical Neural Relation Extraction

improved-gan

code for the paper "Improved Techniques for Training GANs"

lstm-char-cnn

LSTM language model with CNN over characters

maxmargingmm

Code for max margin general moment measure

maxmarginmle

Code for the optimization

nmt

TensorFlow Neural Machine Translation Tutorial

opennre

An Open-Source Package for Neural Relation Extraction (NRE)

random-graph-generation-rl

generate random graphs with specific properties

relation_extraction_baselines

reside

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

semi-synthetic-data-generation

spanbert

Code for using and evaluating SpanBERT.

tnodeembed

tNodeEmbed

vacs

Code and data for "A Deep Generative Model for Code-Switched Text" accepted in IJCAI 2019

vae-random-graph

grapg generation for vae

wikientitydetection

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.