BoostCD

BoostCD

Information extraction system with training, inference, and evaluation pipeline.

End-to-end information extraction system with training, inference, and evaluation pipelines. Uses a conda environment and Hugging Face datasets; supports training on custom data, batched inference, and prediction postprocessing. Published at an NLP conference.

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Data Science Lab

Data Science Lab
Robert West

Prof. Robert West

Our research aims to make sense of large amounts of data. Frequently, the data we analyze is collected on the Web, e.g., using server logs, social media, wikis, online news, online games, etc. We distill heaps of raw data into meaningful insights by developing and applying algorithms and techniques in areas including social and information network analysis, machine learning, computational social science, data mining, natural language processing, and human computation.

This page was last edited on 2026-03-03.