no code implementations • EMNLP 2021 • Arpita Roy, SHimei Pan
In recent years pre-trained language models (PLM) such as BERT have proven to be very effective in diverse NLP tasks such as Information Extraction, Sentiment Analysis and Question Answering.
no code implementations • 1 Dec 2020 • Shubham Kanodia, Joe P. Ninan, Andrew J. Monson, Suvrath Mahadevan, Colin Nitroy, Christian Schwab, Samuel Halverson, Chad F. Bender, Ryan Terrien, Frederick R. Hearty, Emily Lubar, Michael W. McElwain, Lawrence. W. Ramsey, Paul M. Robertson, Arpita Roy, Gudmundur Stefansson, Daniel J. Stevens
The NEID spectrograph is a R $\sim$ 120, 000 resolution fiber-fed and highly stabilized spectrograph for extreme radial velocity (RV) precision.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics
no code implementations • IJCNLP 2019 • Arpita Roy, Youngja Park, Taesung Lee, SHimei Pan
We propose a novel supervised open information extraction (Open IE) framework that leverages an ensemble of unsupervised Open IE systems and a small amount of labeled data to improve system performance.
no code implementations • NAACL 2019 • Arpita Roy, Youngja Park, SHimei Pan
Text analytics is a useful tool for studying malware behavior and tracking emerging threats.
no code implementations • SEMEVAL 2018 • Ankur Padia, Arpita Roy, Taneeya Satyapanich, Francis Ferraro, SHimei Pan, Youngja Park, Anupam Joshi, Tim Finin
We describe the systems developed by the UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing).
no code implementations • 21 Sep 2017 • Arpita Roy, Youngja Park, SHimei Pan
In this pa-per, we describe a novel method to train domain-specificword embeddings from sparse texts.