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abstractknowledgegraph

AbstractKnowledgeGraph, a systematic knowledge graph that concentrate on abstract thing including abstract entity and action. 抽象知识图谱，目前规模50万，支持名词性实体、状态性描述、事件性动作进行抽象。目标于抽象知识，包括抽象实体，抽象动作，抽象事件。基于该知识图谱，可以进行不同层级的实体抽象和动作抽象，这与人类真实高度概括的认知是一致的。

acm-challenge-workbook

《挑战程序设计竞赛》习题册攻略

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

antispam-python-demo

易盾反垃圾python演示

atis_dataset

The ATIS (Airline Travel Information System) Dataset

attention_based_rnn_for_intent_detetaction_and_slot_filling

The tensorflow implementation of <Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling>

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

bdci2019-sentiment-classification

CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf

This model base on bert-as-service. Model structure : bert-embedding bilstm crf.

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bert-chinese-text-classification-and-deployment

简单高效的Bert中文文本分类模型开发和部署

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-ner

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert-textclassification

Implemention some Baseline Model upon Bert for Text Classification

bert-utils

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

bioner-progress

This repository aims to track the progress in BioNER and give a related paper list and an overview of the state-of-the-art (SOTA).

causalityeventextraction

Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目，本项目罗列了因果显式表达的几种模式，基于这种模式和大规模语料，再经过融合等操作，可形成因果事件图谱。

ccks2018summary

self summary after attending 2018全国知识图谱与语义计算大会，China Conference on Knowledge Graph and Semantic Computing

ccks2019_el

CCKS 2019 Task 2: Entity Recognition and Linking

ccks_baidu_entity_link

ccks baidu entity link 实体链接 第一名

ccl2018summary

self summary after attending CCL2018 (全国计算语言学学术会议), CCL2018参会总结,包括会议论文下载脚本,会议前言技术报告下载,以及个人的一点总结.

chinese_chatbot_corpus

中文公开聊天语料库

chinesener

A neural network model for Chinese named entity recognition