Tehran Institute for Advanced Studies (TEIAS)

/ Recent Developments and Uphill Battles in Natural Language Processing __ Daniel Khashabi

Talk

Recent Developments and Uphill Battles in Natural Language Processing

Daniel Khashabi Talk

August 9, 2023
(18 Mordad, 1402)

16:00

Venue

This Talk is online

Register

Registration Deadline

August 8, 2023

You may need a VPN to start the talk.

[email protected]

+982189174612

Daniel Khashabi

Assistant professor in computer science at Johns Hopkins University

Overview

As AI-driven language interfaces (such as chat-bots) become more integrated into our lives, they need to become more versatile and reliable in their communication with human users. What technologies are behind such developments and what are the open challenges? In this talk, I will describe the recent advances in natural language processing, particularly the advent of language models and the different ways it has affected the state of our technology. Then I will focus on the open problems that we are facing. I will conclude with my speculations on the future of NLP research toward broader NLP systems by addressing the limitations of the presented ideas and other missing elements needed to move toward more general-purpose interactive language understanding systems.

Biography

Daniel Khashabi

Daniel Khashabi is an assistant professor in computer science at Johns Hopkins University and a member of the Center for Language and Speech Processing (CLSP). Khashabi’s work focuses on computational foundations of intelligent behavior within various mediums of communication, particularly natural language. This involves developing formalisms that characterize and result in natural language processing (NLP) systems that are capable of understanding and reasoning with (and about) an uncertain world while being general to handle a broader space of contexts. He obtained a Ph.D. from the University of Pennsylvania in 2019 and a BSc from Amirkabir University of Technology (Tehran Polytechnic) in 2012. Before joining Johns Hopkins, he was a postdoctoral fellow at the Allen Institute for AI (2019-2022).

Add to Google Calendar