For a long time, data volume and data quality have been considered key factors affecting the effectiveness of large model training. The core of the DELT paradigm lies in emphasizing the importance of ...

Both presentations discussed the development of DADAlytics, a semantic tool recently created by the Semantic Lab at Pratt (semlab.io) to help librarians, archivists and humanities scholars generate ...

We use machine learning techniques on textual data to identify financial crises. The onset of a crisis and its duration have implications for real economic activity, and as such can be valuable inputs ...