tuvuumass

task-transferability

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

SCoPE

:mag_right: SCoPE: Sentence Content Paragraph Embeddings

100-nlp-papers

100 Must-Read NLP Papers

NseLstm

A Chainer implementation of a general-purpose NseLstm encoder-decoder model that uses an NSE as the encoder and an LSTM as the decoder

2018-summer-main

allennlp

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

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

convertvec

Convert word2vec vectors between binary and plain text format

dress

DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D17-1063

electra-1

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

fastai

The fast.ai deep learning library, lessons, and tutorials

MultiQA

multisemantics

multi-(view, task, semantics)

new-project

This repository contains a template you can use to seed a repository for a new open source project.

pytorch-bert-fine-tuning

Fine tuning runner for BERT with pytorch

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

RelationPrediction

Implementation of R-GCNs for Relational Link Prediction

S2V

ICLR 2018 Quick-Thought vectors

SemEval2020-Task4-Commonsense-Validation-and-Explanation

This project is special for SemEval2020 task4 Commonsense Validation and Explanantion

simplification

Text Simplification System and Dataset

test-git

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

TextClassification

Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).

textcnn-conv-deconv-pytorch

text convolution-deconvolution auto-encoder model in PyTorch

textCNN_public

textGAN_public

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

TreebankPreprocessing

Python scripts preprocessing Penn Treebank and Chinese Treebank

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)