[FRIAM] Fwd: Title, abstract and bio for Asma Ben Abacha

[George Duncan]

Talk available via Zoom.

George Duncan
Emeritus Professor of Statistics, Carnegie Mellon University
georgeduncanart.com
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My art theme: Dynamic exposition of the tension between matrix order and
luminous chaos.

"Attempt what is not certain. Certainty may or may not come later. It may
then be a valuable delusion."
>From "Notes to myself on beginning a painting" by Richard Diebenkorn.

"It's that knife-edge of uncertainty where we come alive to our truest
power." Joanna Macy.




---------- Forwarded message ---------
From: John Friday <jfriday at cs.cmu.edu>
Date: Mon, Apr 20, 2020 at 11:51 AM
Subject: Title, abstract and bio for Asma Ben Abacha
To: <lti-seminar at cs.cmu.edu>


Hi everyone,

I'm happy to share the title, abstract and bio for Asma Ben Abacha, who
will be speaking for Colloquium on Friday, April 24th. Please join the talk
on Zoom <https://cmu.zoom.us/j/208848796> at 2:30 PM (EST).


*Title: *

*Multimodal Question Answering in the Medical Domain*



*Abstract: *

 Artificial intelligence (AI) is playing an increasingly important role in
our access to information. However, a one-fits-all approach is suboptimal,
especially in the medical domain where health-related information is more
sensitive due to its potential impact on public health, and where
domain-specific aspects such as technical language and case or
context-based interpretation have to be taken into account. Bridging the
gap between several research areas such as AI, NLP, medical informatics,
and computer vision is a promising way to achieve reliable and efficient
access to medical information. In this talk, I will discuss some of my
recent projects on multimodal Question Answering (QA) including NLP methods
for textual QA and Visual Question Answering (VQA). In particular, I’ll
present the lessons learned from working on QA from trusted answer sources
and alternative NLP approaches such as recognizing question entailment and
question summarization. In a second part, I’ll address the task of VQA from
radiology images and potential solutions to support the creation of
large-scale training data through visual question generation.  Throughout
the talk, I’ll present our recent efforts in creating relevant datasets and
new approaches as well as the challenges that we organized to promote
research in multimodal question answering.





·*Bio: *

Dr. Asma Ben Abacha is a staff scientist at the U.S. National Institutes of
Health (NIH), National Library of Medicine (NLM), Lister Hill National
Center for Biomedical Communications. Prior to joining the NLM in 2015, she
was a researcher at the Luxembourg Institute of Science and Technology and
lecturer at the University of Lorraine, France. Dr. Ben Abacha received a
Ph.D. in computer science from Paris 11 University, France, a research
master’s degree from Paris 13 University, and a software engineering degree
from the National School of Computer Sciences (ENSI), Tunisia. She is
currently working on medical question answering, visual question answering,
and NLP-related projects in the medical domain.



Best wishes and 'see' you Friday,

John Friday
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