gongchuanyang Goto Github PK

kmrc-papers

A list of recent papers regarding knowledge-based machine reading comprehension.

learning_to_retrieve_reasoning_paths

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

leetcode

LeetCode题解，151道题完整版

lightkg

基于Pytorch和torchtext的知识图谱深度学习框架。

logic_guided_qa

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

longformer

Longformer: The Long-Document Transformer

machine-learning-with-python

Python code for common Machine Learning Algorithms

made

EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering

mnemonicreader

A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

mtmsn

A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning

mulqg

Multi-hop Question Generation with Graph Convolutional Network

multihop_dense_retrieval

Multi-hop dense retrieval for question answering

multiqa

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nlp-roadmap

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-question-answering

Important paper implementations for Question Answering using PyTorch

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

pytorch_geometric

Graph Neural Network Library for PyTorch

qanet-pytorch

Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

question_answering_hotpotqa

Question-answering on the filtered (only relevant passages kept) HOTPOTQA dataset.

rcpapers

Must-read papers on Machine Reading Comprehension

record-logger

每周进度汇报

sae

Code for AAAI 2020 paper "Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents"

sg-net

SG-Net: Syntax-guided machine reading comprehension (AAAI 2020)