Ahmed Elgohary

    elgohary [@] cs.umd.edu

I am a PhD student in the computer science department at the university of Maryland. I am a member of the computational linguistics and information processing (CLIP) lab. My main research is on interpretable neural models for natural language processing. I am particularly focused on semantic tasks such as question answering, relation extraction and natural language inference. I am also interested in lexical semantics and multilingual NLP. I just finished a summer internship at the Allen Institute for Artificial Intelligence (AI2).

I am grateful to be supported by an IBM Ph.D. Fellowship.

Previously, I worked on scaling machine learning algorithms with a "systems flavor". I did an internship at IBM Almaden lab in summer 2015 where, in collaboration with awesome IBM researchers, we introduced compressed linear algebra for large-scale machine learning.