Year: 2017
Type: conference-paper
Abstract: Recent methods for Event Detection focus on Deep Learning for automatic feature generation and feature ranking.However, most of those approaches fail to exploit rich semantic information, which results in relatively poor recall.This paper is a small & focused contribution, where we introduce an Event Detection and classification system, based on deep semantic information retrieved from a framesemantic parser.Our experiments show that our system achieves higher recall than state-of-the-art systems.Further, we claim that enhancing our system with deep learning techniques like feature ranking can achieve even better results, as it can benefit from both approaches.
DOI: 10.18653/v1/w17-2703
Institution: Carnegie Mellon University
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Awards: G4713059963, G5432064702
OpenAlex ID: W2741822233