Fwd: LTI Colloquium - Vincent Ng - Friday, 10/5

[Emily Ahn]

Hi everyone,

Vincent Ng will be here this Friday to speak for our weekly Colloquium! 

Here's a sneak peek of the upcoming speakers for this semester:

10/12/2018 - Nathan Schneider

10/19/2019 - He He

11/2/2018 - Karen Livescu

11/9/2018 - Noah Smith

11/16/18 - Ndapa Nakashole

11/30/2018 - Emma Strubell

12/07/2018 - Zhou Yu

---------- Forwarded message ---------
From: Tessa Samuelson <tes...@andrew.cmu.edu>
Date: Mon, Oct 1, 2018 at 6:48 PM
Subject: LTI Colloquium - Vincent Ng - Friday, 10/5
To: <lti-s...@cs.cmu.edu>

Hello all, 

This Friday, 10/5, we will be hosting Vincent Ng for LTI Colloquium. The lecture will begin at the usual time of 2:30 at Porter Hall 100. 

See below for details:

Towards Content-Based Essay Scoring

State-of-the-art automated essay scoring engines such as e-rater do not 

grade essay content, focusing instead on providing diagnostic trait 

feedback on categories such as grammar, usage, mechanics, style and 

organization. Content-based essay scoring is very challenging: it requires 

an understanding of essay content and is beyond the reach of today's 

automated essay scoring technologies. As a result, content-dependent dimensions

of essay quality are largely ignored in existing automated essay scoring 

research. In this talk, we describe our recent and ongoing efforts on 

content-based essay scoring, sharing the lessons we learned from 

automatically scoring one of the arguably most important content-dependent 

dimensions of persuasive essay quality, argument persuasiveness.  

Vincent Ng is a Professor in the Computer Science Department at the 

University of Texas at Dallas. He is also the director of the Machine 

Learning and Language Processing Laboratory in the Human Language 

Technology Research Institute at UT Dallas. He obtained his B.S. from 

Carnegie Mellon University and his Ph.D. from Cornell University. His 

research is in the area of Natural Language Processing, focusing on the

development of computational methods for addressing key tasks in 

information extraction and discourse processing.  

Refreshments will be served at 4:00 in the 5th floor kitchen area. 
 
Instructor: Yulia Tsvetkov

Teaching Assistant: Emily Ahn