To address this fundamental challenge and accelerate the reliable use of EHRs for RWE, we introduce an integrated data curation and modeling pipeline consisting of 4 modules that leverage recent ...

Natural Language Processing (NLP) is a subfield of Linguistics and Computer Science that deals with processing and understanding huge volumes of unstructured text data. To leverage NLP to analyze ...

This github contains practical assignments for Natural Language Processing course by Higher School of Economics: https://www.coursera.org/learn/language-processing ...

The sixth edition of the South Asian Forum on the Acquisition and Processing of Language (SAFAL) will be held between 17-19 November 2025 at the University of Colorado, Boulder. The conference will ...

Abstract: With the fast-evolving field of education, there is an increase in the demand for intelligent tutorial systems that can adapt to the diverse learning needs of individual students. This ...

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.

Abstract: Requirements engineering (RE) is one of the most natural language-intensive fields within the software engineering area. Therefore, several works have been developed across the years to ...

Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...

spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. 📚 Usage Guides How ...