nanguoshun's Stars
google-research/google-research
Google Research
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
google-research/electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
tomohideshibata/BERT-related-papers
BERT-related papers
salesforce/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
dmis-lab/biobert
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Smerity/sha-rnn
Single Headed Attention RNN - "Stop thinking with your head"
harvardnlp/pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
yikangshen/Ordered-Neurons
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
plkmo/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
AkariAsai/learning_to_retrieve_reasoning_paths
The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".
vacancy/NSCL-PyTorch-Release
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
tkipf/c-swm
Contrastive Learning of Structured World Models
benedekrozemberczki/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
google/neural-logic-machines
Implementation for the Neural Logic Machines (NLM).
microsoft/SGN
This is the implementation of CVPR2020 paper “Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition”.
INK-USC/TriggerNER
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
hint-lab/bert-relation-classification
A pytorch implementation of BERT-based relation classification
bbrattoli/ZeroShotVideoClassification
Zero-shot video classification by end-to-end training of 3D convolutional neural networks
allanj/ner_with_dependency
DFKI-NLP/tacrev
[ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
WING-NUS/SG-Deep-Question-Generation
This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
Cartus/Latent-Forests
Learning Latent Forests for Medical Relation Extraction (authors' PyTorch implementation for the IJCAI20 paper)
KaiQiangSong/joint_parse_summ
(AAAI'20) The source code for the paper "Joint Parsing and Generation for Abstractive Summarization".
freesunshine0316/dep-forest-re
Code corresponding to our paper "Leveraging Dependency Forest for Neural Medical Relation Extraction" at EMNLP 2019
ewrfcas/DocRED_Bert
A bert baseline for DocRED
DFKI-NLP/REval
[ACL 20] Probing Linguistic Features of Sentence-level Representations in Neural Relation Extraction
nanguoshun/English_EveryDay
study oral english