1367 Open source projects that are alternatives of or similar to knowledge-graph-nlp-in-action

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

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

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)

LSTM-CRF for NER with ConLL-2002 dataset

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

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

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

datagrand 2019 information extraction competition rank9

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

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

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

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

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

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

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

bert-bilstm-crf implemented in pytorch for named entity recognition.

Named Entity Recognition (LSTM + CRF) - Tensorflow

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

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

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

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

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

中国娱乐圈关系挖掘，可以快速的查询明星之间的关系。This is a complex network of course assignments. The realization of the relationship analysis and visualization of China's entertainment industry, you can quickly query the relationship between the stars

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

中文NER的那些事儿

Memory for Knowledge Graph, using Neo4j. 知识图谱存储与查询。

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

Community effort to build a Neo4j Knowledge Graph (KG) that links heterogeneous data about COVID-19

爬取百度百科中文页面，抽取三元组信息，构建中文知识图谱

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

经济责任审计知识图谱：网络爬虫、关系抽取、领域词汇判定

基于 Bi-LSTM 和 CRF 的中文语义角色标注

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

A Pre-trained BERT on StackOverflow Corpus

sequence tagging for NER for ULMFiT

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Tool for slot extraction from text

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

Flexible and powerful platform for biomedical information extraction from text

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

A Named-Entity Recogniser based on Grobid.

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Pretrained Span and span Pair Encoder, code for "Pre-training Entity Relation Encoder with Intra-span and Inter-spanInformation.", EMNLP2020. It is based on our NERE toolkit (https://github.com/Receiling/NERE).

Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction

simple rule based named entity recognition

A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods

Implementation of Nested Named Entity Recognition using Flair

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

A neural named entity recognition and multi-type normalization tool for biomedical text mining

Graph Data Visualization Demo| 图数据搜索可视化应用案例

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

Code for ANA at SemEval-2019 Task 3

A PyTorch-based toolkit for natural language processing

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0