The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.
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Updated
May 8, 2024 - C++
The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
LLM-based ontological extraction tools, including SPIRES
Burobot is a toolbox for tasks such as data collection, training, and data cleaning in the field of artificial intelligence.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 24
Insightful Tutorials and Papers about Knowledge Graphs
NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities
Build LLM-enabled FastAPI applications without build configuration.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
State of the Art Natural Language Processing
Recognition of news agency mentions in historical news articles (BERT-based token classification).
A self-hosted search engine for documents.
This collection features a series of NLP projects, covering diverse aspects. Explore projects in text processing, sentiment analysis, entity resolution, and more.
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning, deep learning, and natural language processing with code included. ⭐ support NLP!
Instruct LLMs for flat and nested NER. Fine-tuning Llama and Mistral models for instruction named entity recognition. (Instruction NER)
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 financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
📘 Generate and apply coherent biomedical lexical indices for NER and NEN
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.
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