JianLiu91's repositories

bert_ner

Ner with Bert

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allennlp

An open-source NLP research library, built on PyTorch.

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coling18tutorial

COLING 2018 Tutorial on Multilingual FrameNet: Automatic semantic role labeling for FrameNet

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Company-Names-Corpus

公司名语料库。

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controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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GetOldTweets-python

A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

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gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

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matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

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MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

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NCRFpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (ACL 2018 demo paper)

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nqg

neural question generation for reading comprehension

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nvdm

neural variational document model

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PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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RENet

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs

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semi-supervised-pytorch

Implementations of different VAE-based semi-supervised and generative models in PyTorch

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twitter-ner

Named Entity Recognition on Twitter data

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twitter-scrape

Download streaming tweets that match specific keywords, and dump the results to a file.

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VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

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VAEText

Pytorch implementations for Auto-Encoding Variational Bayes and Generating Sentences from a Continuous Space

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var-attn

Latent Alignment and Variational Attention

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vecmap

A framework to learn cross-lingual word embedding mappings

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VITutorial

This repository stores slides for a tutorial on variational inference for NLP audiences.

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VQ-VAE

Minimalist implementation of VQ-VAE in Pytorch

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