no code implementations • 12 Jun 2023 • Varish Mulwad, Tim Finin, Vijay S. Kumar, Jenny Weisenberg Williams, Sharad Dixit, Anupam Joshi
Entity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents, including the retrieval of relevant information included in tables within these documents.
no code implementations • 2 Aug 2022 • Casey Hanks, Michael Maiden, Priyanka Ranade, Tim Finin, Anupam Joshi
Cyber Threat Intelligence (CTI) is information describing threat vectors, vulnerabilities, and attacks and is often used as training data for AI-based cyber defense systems such as Cybersecurity Knowledge Graphs (CKG).
no code implementations • 2 Aug 2022 • Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin, Robert F. Erbacher
This ability to reason over the mission sensed environment and attack context permits the autonomous IoBT system to exhibit resilience in contested conditions.
no code implementations • 8 Feb 2021 • Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin
We evaluate with traditional approaches and conduct a human evaluation study with cybersecurity professionals and threat hunters.
no code implementations • 8 Jun 2020 • Ramin Ayanzadeh, Milton Halem, Tim Finin
We leverage the idea of a statistical ensemble to improve the quality of quantum annealing based binary compressive sensing.
1 code implementation • 6 Mar 2020 • Chan Hee Song, Dawn Lawrie, Tim Finin, James Mayfield
The goal of this work is to improve the performance of a neural named entity recognition system by adding input features that indicate a word is part of a name included in a gazetteer.
no code implementations • 1 Jan 2020 • Ramin Ayanzadeh, Milton Halem, Tim Finin
We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that plays the stochastic environment role of learning automata and tries to iteratively find better Ising Hamiltonians for the given problem of interest.
no code implementations • 29 Sep 2019 • Muhammad Mahbubur Rahman, Tim Finin
Understanding and extracting of information from large documents, such as business opportunities, academic articles, medical documents and technical reports, poses challenges not present in short documents.
no code implementations • 7 May 2019 • Sudip Mittal, Anupam Joshi, Tim Finin
It uses multiple knowledge representations like, vector spaces and knowledge graphs in a 'VKG structure' to store incoming intelligence.
1 code implementation • Journal of Web Semantics 2019 • Ankur Padia, Kostantinos Kalpakis, Francis Ferraro, Tim Finin
We present a family of novel methods for embedding knowledge graphs into real-valued tensors.
no code implementations • WS 2018 • Ankur Padia, Francis Ferraro, Tim Finin
We describe our system used in the 2018 FEVER shared task.
no code implementations • 31 Oct 2018 • Ankur Padia, Francis Ferraro, Tim Finin
Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions.
no code implementations • DeeLIO (ACL) 2022 • Ankur Padia, Francis Ferraro, Tim Finin
KGCleaner is a framework to identify and correct errors in data produced and delivered by an information extraction system.
no code implementations • 28 Jul 2018 • Jennifer Sleeman, Tim Finin, Milton Halem
In scientific disciplines where research findings have a strong impact on society, reducing the amount of time it takes to understand, synthesize and exploit the research is invaluable.
no code implementations • 24 Jul 2018 • Muhammad Mahbubur Rahman, Tim Finin
Understanding large, structured documents like scholarly articles, requests for proposals or business reports is a complex and difficult task.
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 • IJCNLP 2017 • Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn Lawrie, Ch May, ler, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang
It combines a multitude of analytics together with a flexible environment for customizing the workflow for different users.
no code implementations • 3 Sep 2017 • Muhammad Mahbubur Rahman, Tim Finin
A key contribution of our research is modeling the logical and semantic structure of an electronic document.
no code implementations • 10 Aug 2017 • Sudip Mittal, Anupam Joshi, Tim Finin
Knowledge graphs and vector space models are robust knowledge representation techniques with individual strengths and weaknesses.
no code implementations • 31 May 2015 • Travis Wolfe, Mark Dredze, James Mayfield, Paul McNamee, Craig Harman, Tim Finin, Benjamin Van Durme
Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible.