1 code implementation • SemEval (NAACL) 2022 • Caleb Martin, Huichen Yang, William Hsu
In this work, we introduce our system to the SemEval 2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER) competition.
no code implementations • IEEE International Conference on Image Processing 2022 • Huichen Yang, William Hsu
We present an end-to-end transformer-based framework named TRDLU for the task of Document Layout Understanding (DLU).
Ranked #2 on Document Layout Analysis on PubLayNet val
no code implementations • 14 Dec 2020 • Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William Hsu, Dan Andresen, Mohammed Tanash
We present a supervised learning model trained on a Simple Linux Utility for Resource Management (Slurm) data set of HPC jobs using three different techniques for selecting features: linear regression, lasso, and ridge regression.
no code implementations • 18 Oct 2020 • Huichen Yang, William H. Hsu
As part of the experimental test bed for empirical evaluation of this approach, we created a merged multi-corpus data set for scientific publication layout detection tasks.
1 code implementation • 16 Dec 2019 • Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, T. Yong-Jin Han, David Buttler, William H. Hsu
This system meets computational information and knowledge management (CIKM) requirements of metadata-driven payload extraction, named entity extraction, and relationship extraction from text.
no code implementations • 20 May 2018 • Dan Andresen, William Hsu, Huichen Yang, Adedolapo Okanlawon
We address the problem of predicting whether sufficient memory and CPU resources have been requested for jobs at submission time.