LLM-based ontological extraction tools, including SPIRES
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Updated
Jun 12, 2024 - Jupyter Notebook
LLM-based ontological extraction tools, including SPIRES
State of the Art Natural Language Processing
A self-hosted search engine for documents.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Sample data set exemplifying an idealized data processing pipeline for didactic purposes
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
PyTorch-IE: State-of-the-art Information Extraction in PyTorch
This collection features a series of NLP projects, covering diverse aspects. Explore projects in text processing, sentiment analysis, entity resolution, and more.
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
modest natural-language processing
A very simple framework for state-of-the-art Natural Language Processing (NLP)
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
Build LLM-enabled FastAPI applications without build configuration.
Underthesea - Vietnamese NLP Toolkit
Identified ADEs and associated terms in an annotated corpus with Named Entity Recognition (NER) modeling with Flair and PyTorch. Fine-tuned pre-trained transformer models such as XLM-RoBERTa, SpanBERT, and Bio_ClinicalBERT. Achieved F1 scores of 0.73 and 0.77 for BIOES and BIO tagging models, respectively.
Cybertron: the home planet of the Transformers in Go
An elegent pytorch implement of transformers
A tool to streamline the Chinese NER process using CKIP model. By student developers - Sherry, Berry
GERBIL - General Entity annotatoR Benchmark
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