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attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

awesome-chinese-nlp

A curated list of resources for NLP (Natural Language Processing) for Chinese 中文自然语言处理相关资料

awesome_chinese_medical_nlp

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

ccks2019_subtask2

好像是事件抽取的数据 肿瘤数据

ccks_ee

CCKS举办的针对电子病例的信息抽取比赛，主要是进行医疗实体及事件抽取，本项目包括展示比赛的不断改进与多种方法的尝试，最终取得：valid第6名；test第9名。

chinesecixing

WordForm,针对中文词语的笔画拆解，偏旁查询，拼音转换接口

cms

cms问题集整理

cms-

该仓库用来整理河北师范大学软件学院2015级《cms与模板制作》课程内容

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

dcnn_mlee

Dependency-tree based convolutional neural network for event extraction in MLEE dataset.

ddparser

百度开源的依存句法分析系统

doccano

Open source annotation tool for machine learning practitioners.

eventplus

[NAACL'21 Demo] EventPlus: a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction

fact_triple_extraction

使用句法依存分析抽取事实三元组

glove

GloVe model for distributed word representation

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（可类似事件抽取和事件时序抽取）

ipre

IPRE: a Dataset for Inter-Personal Relationship Extraction

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).图像标注的 不能文本

lstm

基于LSTM神经网络的时间序列预测

ltp

Language Technology Platform

marktool

DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验、自动合并和手动调整，提高了标注结果的准确率。

medical-named-entity-recognition

本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。

medicalrelationextraction

The depository support training and testing BERT-CNN model on three medical relation extraction corpora: BioCreative V CDR task corpus, traditional Chinese medicine literature corpus, and i2b2 temporal relation corpus.

neuraltemporalrelation-emnlp19

relation-extraction

中文关系抽取（可类似事件时序关系抽取）

resources

biaozhu gongju

selenium

seleniumnew

seleniumnew1

text_classification

all kinds of text classificaiton models and more with deep learning