ryh95 / Pytorch-in-NLP-research

a list of implementations using Pytorch in NLP research

Pytorch in NLP research

This is a curated list of papers in NLP research using Pytorch.

Papers Implemented by authors

sen2vec

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data (EMNLP 2017)

GCN graph

Semi-Supervised Classification with Graph Convolutional Networks (ICLR 2017)

Recurrent NN

Quasi-Recurrent Neural Networks (ICLR 2017)

QA

Reading Wikipedia to Answer Open-Domain Questions (ACL 2017)

Recurrent NN

Training RNNs as Fast as CNNs

Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog (EMNLP 2017)

Papers with Third-Party Implementations

Recursive NN sen2vec

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks (ACL 2015)

QA

Reading Wikipedia to Answer Open-Domain Questions (ACL 2017)

MT attention

Attention is All You Need

sen2vec

A Structured Self-attentive Sentence Embedding (ICLR 2017)

A Recurrent Latent Variable Model for Sequential Data (NIPS 2015)

Recurrent NN

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting (NIPS 2015)

attention slot filling intent detection

Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling