Medical Text Annotation Tool | A Great Partner for NLP

Medical Text Annotation Tool | A Great Partner for NLP

At this stage, deep learning has become a very important technical means in the field of natural language processing, among which supervised learning is a very important method. Whether it is sequence labeling or text classification in supervised learning, it relies on a large amount of labeled data for model training. How to improve the … Read more

FoolNLTK — A Simple and Easy-to-Use Chinese NLP Toolkit

FoolNLTK — The author claims it is “possibly not the fastest open-source Chinese word segmentation, but very likely the most accurate open-source Chinese word segmentation.” This open-source toolkit is trained based on the BiLSTM model, with functions including word segmentation, part-of-speech tagging, and entity recognition. It also supports user-defined dictionaries, allows training of custom models, … Read more

Artificial Intelligence and Natural Language Processing

Artificial Intelligence and Natural Language Processing

“ // 6th Southern Information Conference // // Warm-up Special // (4) “ Artificial Intelligence and “Natural Language Processing” Natural Language Processing (NLP) is a branch of artificial intelligence and linguistics, and it is an important direction in the development of artificial intelligence. This field explores how to enable computers to understand, process, and utilize … Read more

General Processing Flow of Natural Language Processing (NLP)

General Processing Flow of Natural Language Processing (NLP)

Follow the WeChat public account “ML_NLP“ Set as “Starred“, delivering heavy content at the first time! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/79041829 Author | mantch Editor | Machine Learning Algorithms and Natural Language Processing WeChat public account This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. … Read more

Four Lines of Code to Triple Large Model Context Length

Four Lines of Code to Triple Large Model Context Length

Crecy from Aofeisi Quantum Bit | WeChat Official Account QbitAI No fine-tuning is required; just four lines of code can triple the context length of large models! Moreover, it is “plug-and-play” and theoretically adaptable to any large model, successfully tested on Mistral and Llama2. With this technology, large models (LargeLM) can transform into LongLM. Recently, … Read more