no code implementations • 8 Oct 2024 • Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood
Our approach models the dependencies across test examples, allowing accurate prediction of the evaluation outcomes for the remaining examples based on the outcomes of the selected ones.
no code implementations • 30 Sep 2024 • Vinayak Arannil, Neha Narwal, Sourav Sanjukta Bhabesh, Sai Nikhil Thirandas, Darren Yow-Bang Wang, Graham Horwood, Alex Anto Chirayath, Gouri Pandeshwar
Alternatively, in cases where domain data is available like healthcare and finance most of the LMs are proprietary necessitating the need for a scalable method to curate real world industry specific pre-training data.
no code implementations • 11 Oct 2022 • Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
The standard classification setting where categories are fixed during both training and testing falls short in dynamic environments where new document categories could potentially emerge.
no code implementations • NAACL 2022 • Benjamin Hsu, Graham Horwood
Identifying related entities and events within and across documents is fundamental to natural language understanding.
no code implementations • EMNLP 2019 • Graham Horwood, Ning Yu, Thomas Boggs, Changjiang Yang, Chad Holvenstot
Online Social Networks (OSNs) provide a wealth of intelligence to analysts in assisting tasks such as tracking cyber-attacks, human trafficking activities, and misinformation campaigns.