Popular GitHub Repositories for Discourse Relation

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

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

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

knowledge graph知识图谱,从零开始构建知识图谱

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

? A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

基于Pytorch和torchtext的自然语言处理深度学习框架。

The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)

[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

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

A Large-Scale Few-Shot Relation Extraction Dataset

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

LLM-based ontological extraction tools, including SPIRES

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

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding