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aeda_nlp

Data augmentation for NLP, accepted at EMNLP 2021 Findings

bertgcn

chatyuan_finetuning

clue chatyuan finetuning

chinese-annotator

Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具

chinese_information_extraction

中文信息抽取，包含实体抽取、关系抽取、事件抽取

crisistimelines

Code and models for "CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization". Findings of EMNLP 2022.

deepke

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

imojie

Neural generation model for Open Information Extraction

knowledgegraphcourse

东南大学《知识图谱》研究生课程

lac

百度NLP：分词，词性标注，命名实体识别，词重要性

llmsurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

multi2oie

Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)

nlpir

paddlenlp

An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

paddlepaddle-python

PaddlePaddle炼丹炉

pyltpserver

运用 pyltp 实现分词、词性标注、依存语法分析、命名实体识别、语义角色标注、事实三元组抽取等功能。

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.

qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

relationprompt

This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

simple-db-hw

MIT 6.830 Database

simpledb

UC Berkeley's Database class CS186: Implement A Simple Database Management System

span_oie

veinard