İzzeddin Gür

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques

2020 · arXiv (Cornell University)

To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which indicate what buildings and population centers have been most affected. …

On Generating Characteristic-rich Question Sets for QA Evaluation

2016

We present a semi-automated framework for constructing factoid question answering (QA) datasets, where an array of question characteristics are formalized, including structure complexity, function, commonness, answer cardinality, and paraphrasing. Instead of collecting questions and manually …