1 code implementation • 8 Mar 2024 • Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo
On the other hand, machine learning methods to automate PPI knowledge extraction from the scientific literature have been limited by a shortage of appropriate annotated data.
no code implementations • 28 Dec 2023 • Daniel Potemkin, Carlos Soto, Ruipeng Li, Kevin Yager, Esther Tsai
In this work, we introduce the prototype of virtual scientific companion (VISION) and demonstrate that it is possible to control basic beamline operations through natural language with open-source language model and the limited computational resources at beamline.
1 code implementation • 22 Aug 2023 • Carlos Soto, Shinjae Yoo
We present an extensible method for identifying semantic points to reverse engineer (i. e. extract the values of) data charts, particularly those in scientific articles.
no code implementations • 21 Sep 2022 • Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra Slavkovic
It is common for data structures such as images and shapes of 2D objects to be represented as points on a manifold.
no code implementations • IJCNLP 2019 • Carlos Soto, Shinjae Yoo
Due to the limited availability of high-quality region-labels for scientific articles, we also contribute a novel dataset of region annotations, the first version of which covers 9 region classes and 822 article pages.