Statistics for topic named-entity-recognition
RepositoryStats tracks 641,255 Github repositories, of these 229 are tagged with the named-entity-recognition topic. The most common primary language for repositories using this topic is Python (150). Other languages include: Jupyter Notebook (28), Java (11)
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Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
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
Guideline following Large Language Model for Information Extraction
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Insightful Tutorials and Papers about Knowledge Graphs
中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集，以及中文预训练模型、词向量、实体识别综述等。
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
[EMNLP 2022] Generative Knowledge Graph Construction: A Review
Guideline following Large Language Model for Information Extraction
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
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
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
[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
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
Named Entity Recognition with an decoder-only (autoregressive) LLM using HuggingFace
💫 Industrial-strength Natural Language Processing (NLP) in Python
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
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
A very simple framework for state-of-the-art Natural Language Processing (NLP)
[LREC-COLING 2024 (Oral), Interspeech 2024 (Oral), NAACL 2025] A Series of Multilingual Multitask Medical Speech Processing
pytorch를 사용하여 텍스트 전처리부터, BERT, GPT와 같은 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
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