Search Results for author: Arpita Roy

Found 6 papers, 0 papers with code

Incorporating medical knowledge in BERT for clinical relation extraction

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.

Question Answering Relation Extraction +1

Ghosts of NEID's Past

no code implementations1 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

Supervising Unsupervised Open Information Extraction Models

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.

Open Information Extraction Role Embedding

Predicting Malware Attributes from Cybersecurity Texts

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.

UMBC at SemEval-2018 Task 8: Understanding Text about Malware

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).

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