#NLP people, a reminder that the brilliant notebooks developed by #Ghent CDH are a game-changing walkthrough of #NER, #ABSA Sentiment Analysis, and #RelationalExtraction pipelines. 
Please share widely!
https://github.com/GhentCDH/CLSinfra/tree/main
GitHubGitHub - GhentCDH/CLSinfra: Repository that hosts the work done in the framework of the Computational Literary Studies Project (2020-2025).Repository that hosts the work done in the framework of the Computational Literary Studies Project (2020-2025). - GhentCDH/CLSinfra
Panel: More than Chatbots: Multimodal Large Language Models in Humanities Workflows
NER works well, even with small, low-cost models
Abbreviations are tricky—costs & resource demands skyrocket
GPT o1 improves performance, even on abbreviations, but remains resource-intensive
We are happy to announce that we just published our first preprint on arXiv: "NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach".
![Readme2KG Challenge website screen shot:
The vision of NFDI4DataScience (NFDI4DS) is to support all steps of the complex and interdisciplinary research data lifecycle, including collecting/creating, processing, analyzing, publishing, archiving, and reusing resources in Data Science and Artificial Intelligence. GitHub is a popular platform for hosting and collaborating on software projects. In the context of research, authors can use GitHub repositories to share the datasets, models, and source code of experiments in the paper. These repositories can provide implementation details and facilitate the exploration and reproduction of research results. Each GitHub repository typically includes a README.md file, which serves as an introductory document for the project. READMEs are usually written in Markdown format and provide key information such as the project’s purpose, setup instructions, usage examples, and often links to the original research paper. Aiming to enhance the NDFI4DS-KG[1] with information from GitHub README files, a fine-grained Named Entity Recognition task is proposed.](https://cdn.masto.host/sigmoidsocial/media_attachments/files/113/911/853/539/988/035/original/3685008c425e43d8.png "Readme2KG Challenge website screen shot:
The vision of NFDI4DataScience (NFDI4DS) is to support all steps of the complex and interdisciplinary research data lifecycle, including collecting/creating, processing, analyzing, publishing, archiving, and reusing resources in Data Science and Artificial Intelligence. GitHub is a popular platform for hosting and collaborating on software projects. In the context of research, authors can use GitHub repositories to share the datasets, models, and source code of experiments in the paper. These repositories can provide implementation details and facilitate the exploration and reproduction of research results. Each GitHub repository typically includes a README.md file, which serves as an introductory document for the project. READMEs are usually written in Markdown format and provide key information such as the project’s purpose, setup instructions, usage examples, and often links to the original research paper. Aiming to enhance the NDFI4DS-KG[1] with information from GitHub README files, a fine-grained Named Entity Recognition task is proposed.")
Wann? Mi., 26.06., 4-6 pm, Zoom
Abstract: 