fuyanzhe Goto Github PK

git_book

教材对应的源码

graphquestions

A characteristic-rich dataset for factoid question answering described in the paper "On Generating Characteristic-rich Question Sets for QA Evaluation" - EMNLP'16

hscrf-pytorch

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (https://arxiv.org/pdf/1805.03838.pdf)

information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

kaldi-pybind-doc

Documentation of Kaldi Pybind

kbqa-ar-smcnn

Question answering over Freebase (single-relation)

kgqa-based-on-medicine

基于医药知识图谱的智能问答系统

kgrobot

基于知识图谱的智能问答机器人

knowledge_representation_pytorch

Several knowledge graph representation algorithms implemented with pytorch

machinelearningrecipes

neural_kbqa

Knowledge Base Question Answering using memory networks

neural_sp

End-to-end ASR/LM implementation with PyTorch

nre

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

pretrained-language-model

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

qa-snake

基于多搜索引擎和深度学习技术的自动问答

r-net

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

r-net-1

R-net in PyTorch, with BERT and ELMo

rcpapers

Must-read papers on Machine Reading Comprehension

rczoo

question answering, reading comprehension toolkit

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

relation-classification

Relation Classification using LSTM between two given entities using Tensorflow

relation-classification-via-attention-model

code of Relation Classification via Multi-Level Attention CNNs

relation-extraction-using-cnn

A Chainer implementation of a Convolutional Network model for relation classification in the SemEval Task 8 dataset. This model performs Multi-Way Classification of Semantic Relations Between Pairs of Nominals in the SemEval 2010 task 8 dataset.

relation_classification

chinese relation classification

relationclassification-rl

Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)

rescnn_relationextraction

Deep Residual Learning for Weakly-Supervised Relation Extraction: https://arxiv.org/abs/1707.08866

semeval2018task7

dowload page for SemEval 2018 Task 7 'Semantic Relation Extraction and Classification in Scientific Papers'

seq2seq_chatbot

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

seq2seq_chatbot_qa

使用TensorFlow实现的Sequence to Sequence的聊天机器人模型

tacred-relation

Position-aware attention model for relation extraction