cdjasonj Goto Github PK

-ner_bilstm_selfatt_crf

跑了一下多个粒度嵌入对中文命名实体识别效果的影响

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-knowledge-graph

整理知识图谱相关学习资料

bert

TensorFlow code and pre-trained models for BERT

bert-for-sequence-labeling-and-text-classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

bert_chinese_classification

本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序

bilstm_cnn_crf_cws

BiLstm+CNN+CRF 法律文档（合同类案件）领域分词（100篇标注样本）

ccf_ie

2019百度语言与智能技术竞赛信息抽取赛代5名代码

ccks_ee

CCKS蚂蚁金服事件主体抽取

conv_seq2seq

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

datagrand

2019达观杯 第六名代码

deepspeedexamples

Example models using DeepSpeed

dialogueclassifier

通过分析客户和客服对话，对客户的问题进行一些分类。

ds-relationextraction

Distantly Supervised Relation Extraction

information-extraction

joint-entity-and-relation-extraction

实现了一下multi-head-selection联合关系实体抽取

keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

keras-utility-layer-collection

Collection of custom layers and utility functions for Keras which are missing in the main framework.

keras_attention

:bookmark: An Attention Layer in Keras

leetcode-python

用来记录下我的刷题之旅~~~~

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

ner

基于tensorflow深度学习的中文的命名实体识别

ner_blstm-crf

LSTM-CRF for NER with ConLL-2002 dataset

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

ogeek

ogeek算法挑战赛方案

oppogeek

天池OGeek算法挑战赛

pcnn

A neural architecture for relation extraction task implemented in Tensorflow.

pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

sequence-labeling