Statistics for topic information-extraction
RepositoryStats tracks 643,873 Github repositories, of these 134 are tagged with the information-extraction topic. The most common primary language for repositories using this topic is Python (94).
Stargazers over time for topic information-extraction
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Easy-to-use and powerful LLM and SLM library with awesome model zoo.
LettuceDetect is a hallucination detection framework for RAG applications.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. Legal NER is one the AI component de...
OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. Legal NER is one the AI component de...
LettuceDetect is a hallucination detection framework for RAG applications.
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
[WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Automatically extract chemical information from scientific documents
LettuceDetect is a hallucination detection framework for RAG applications.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
LettuceDetect is a hallucination detection framework for RAG applications.
OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. Legal NER is one the AI component de...
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
LettuceDetect is a hallucination detection framework for RAG applications.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
LettuceDetect is a hallucination detection framework for RAG applications.
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
OpenNyAI is a mission aimed at developing open source software and datasets to catalyze the creation of AI-powered solutions to improve access to justice in India. Legal NER is one the AI component de...
LettuceDetect is a hallucination detection framework for RAG applications.
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
LettuceDetect is a hallucination detection framework for RAG applications.
This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
雅意信息抽取大模型:在百万级人工构造的高质量信息抽取数据上进行指令微调,由中科闻歌算法团队研发。 (Repo for YAYI Unified Information Extraction Model)
PDF解析(文字,章节,表格,图片,参考),基于大模型(ChatGLM2-6B, RWKV)+langchain+streamlit的PDF问答,摘要,信息抽取