680 Open source projects that are alternatives of or similar to Agriculture_knowledgegraph

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

A collection of research on knowledge graphs

基于深度学习的开源中文关系抽取框架

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Named Entity Recognition & Relation Extraction 实体命名识别与关系分类

PyTorch code for SpERT: Span-based Entity and Relation Transformer

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

A collection of some materials of knowledge graph question answering

基于Pytorch和torchtext的知识图谱深度学习框架。

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

A list of recent papers about Graph Neural Network methods applied in NLP areas.

An open source library for deep learning end-to-end dialog systems and chatbots.

基于深度学习的自然语言处理库

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

As far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

State-of-the-art natural language processing for Ruby

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Zero-shot Transfer Learning from English to Arabic

A curated list of awesome knowledge graph tutorials, projects and communities.

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

Federated Knowledge Extraction Framework

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).

A PyTorch implementation of GraphRel

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

A curated list of network embedding techniques.

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

Dilated CNNs for NER in TensorFlow

Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。

百度NLP：分词，词性标注，命名实体识别，词重要性

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本

ChineseNER based on BERT, with BiLSTM+CRF layer

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

A knowledge graph and a set of tools for drug repurposing

Reasoning Over Knowledge Graph Paths for Recommendation

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

基于知识库的中文问答系统（biLSTM）

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

Implementation of conversational QA model: FlowQA (with slight improvement)

FAQ-based Question Answering System

Ama Laravel? Torne se um Jedi e Ajude outros Padawans

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

这是一款基于web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，同时也支持文本的迭代标注和实体的嵌套标注。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和调整，提高了标注语料的准确率和可靠性。

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow