Apr 10, 2018 · We propose and evaluate an information extraction and analysis framework that combines human intelligent (crowdsourcing) with automated ...

We propose and evaluate an information extraction and analysis framework that combines human intelligent (crowdsourcing) with automated methods to produce ...

A bootstrapping algorithm for extracting security entities and their relationships from text that requires little input data, specifically, a few relations ...

The BETTER program aims to dramatically compress the information discovery cycle for Intelligence Community analysts by designing systems that extract ...

In this paper, we introduce Text-Only Pre-Alignment (TOPA), a novel approach to extend large language models (LLMs) for video understanding, without the need ...

Jan 21, 2019 · This paper focuses on the questions of: how can we automatically infer the hierarchical structure of an ABAC model given NLACPs; and, how can we extract and ...

In this paper, we propose an automated system VIEM to detect inconsistent information between the fully standardized NVD database and the unstructured CVE ...

Oct 22, 2024 · This paper proposes a methodology for text mining relying on the classical knowledge discovery loop, with a number of adaptations.

Poster sessions give attendees the chance to share their work with the community, engage in discussion and debate and learn from each other!