Shekar: A Python Toolkit for Persian Natural Language Processing • Rank 11.4 • Science 93%

Shekar: A Python Toolkit for Persian Natural Language Processing - Published in JOSS (2025)

ontogpt • Rank 16.7 • Science 77%

LLM-based ontological extraction tools, including SPIRES

flair • Rank 27.1 • Science 59%

A very simple framework for state-of-the-art Natural Language Processing (NLP)

drug-named-entity-recognition • Rank 15.1 • Science 67%

deepke • Rank 18.1 • Science 64%

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

hanlp • Rank 24.3 • Science 54%

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

spacy • Rank 37.7 • Science 36%

💫 Industrial-strength Natural Language Processing (NLP) in Python

huspacy • Rank 7.3 • Science 64%

HuSpaCy: industrial-strength Hungarian natural language processing

nlp-progress • Rank 15.8 • Science 54%

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

paper-nestedner-icdar23-code • Rank 0.7 • Science 67%

All the material (code, dataset, results) of our Benchmark of Nested NER approaches accepted at ICDAR 2023

nerpy • Rank 9.0 • Science 44%

🌈 NERpy: Implementation of Named Entity Recognition using Python. 命名实体识别工具，支持BertSoftmax、BertSpan等模型，开箱即用。

https://github.com/camel-lab/camel_tools • Rank 17.5 • Science 23%

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

frog • Rank 7.1 • Science 26%

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

lac • Rank 17.3 • Science 10%

百度NLP：分词，词性标注，命名实体识别，词重要性

band • Rank 8.7 • Science 13%

BAND：BERT Application aNd Deployment, A simple and efficient BERT model training and deployment framework.

https://github.com/linuxscout/mishtar • Rank 2.6 • Science 13%

Mishtar: Named and temporal entities chunker

https://github.com/centre-for-humanities-computing/danish-ner-bias • Rank 2.2 • Science 13%

Investigating bias in Danish language models in Named Entity Recognition (NER). Code from the paper titled "Detecting intersectionality in NER models: A data-driven approach."

roberta-legal-portuguese • Science 41%

Related resources to the paper RoBERTaLexPT: A Legal RoBERTa Model pretrained with deduplication for Portuguese.

https://github.com/compnet/nerwip • Science 13%

Named Entity Extraction in Wikipedia Pages

textgraphs • Science 54%

TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph

biolexica • Science 36%

📘 Generate and apply coherent biomedical lexical indices for NER and NEN

ic_2023_photographes_parisiens • Science 49%

Méthode de création d'un graphe géo-historique à partir des entrées extraites des annuaires du commerce de Paris (XIXème siècle) et carte web : application aux photographes

nervaluate • Science 44%

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

bachelor_thesis_project • Science 44%

System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning

the-corpus-as-a-network • Science 54%

Turning source documents into a graph with NLP

elner-dz • Science 67%

ELNER-DZ: A Dataset for Named Entity Recognition and Linking in Algerian Arabic Dialect (Darija)