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[nl-uiuc] Reminder: AIIS talk by Dr. Chin-Yew Lin at 3pm


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  • From: Rajhans Samdani <rsamdan2 AT illinois.edu>
  • To: nl-uiuc AT cs.uiuc.edu, aivr AT cs.uiuc.edu, dais AT cs.uiuc.edu, cogcomp AT cs.uiuc.edu, vision AT cs.uiuc.edu, eyal AT cs.uiuc.edu, aiis AT cs.uiuc.edu, aistudents AT cs.uiuc.edu, "Girju, Corina R" <girju AT illinois.edu>
  • Subject: [nl-uiuc] Reminder: AIIS talk by Dr. Chin-Yew Lin at 3pm
  • Date: Mon, 1 Nov 2010 12:05:28 -0500 (CDT)
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>

Hi all
Just a gentle reminder for today's talk at **3** pm.

When: Monday, Nov 1, 3-4 pm.

Where: 3405 SC.

Speaker: Dr. Chin-Yew Lin (http://research.microsoft.com/en-us/people/cyl/)

Title:
Question Answering - The Easy Way?

Abstract:
With the booming of user participating online services such as Yahoo!
Answers,
Facebook Questions, MSDN forums, and plain old online discussion forums, a
lot of
valuable knowledge have been accumulated. To explore the potential impact of
these
user generated content (UGC), we focus our research on utilizing established
user
communities, their networks, and their content to facilitate three
activities:
assimilation, dissemination, and elicitation of community knowledge.

In this talk, I will introduce recent progress on Scalable Question Answering
and
Distillation (SQuAD) - a question answering (QA) project aiming to crawl,
index, and
serve question and answer pairs at web scale. I will use question answering
as an
example to illustrate the approach that we are taking toward solving real
world
problems. Question answering has been an active research field in information
retrieval and natural language processing. Despite the "success" of TREC QA
track,
large scale robust QA systems are yet to be found in the real world. Instead
of taking
a traditional QA approach, SQuAD focuses on mining and organizing existing QA
pairs from the web. I will address six main challenges of the project and
present our
solutions. In particular, I will show the importance of question type, drill
down on
comparative questions, and summarize lessons learned from our participation
of the
NTCIR Pilot Community Question Answering track.

Bio:
Dr. Chin-Yew LIN is a senior researcher and research manager of Microsoft
Research
Asia (MSRA). Before joining Microsoft in 2006, He was a research scientist at
the
Information Sciences Institute at University of Southern California (USC/ISI)
where he
worked in the Natural Language Processing and Machine Translation group since
1997. His research interests are natural language processing, information
retrieval and
social computing. He also developed automatic evaluation technologies for
summarization, QA, and MT. In particular, he created the ROUGE automatic
summarization evaluation package. It has become the de facto standard in
summarization evaluations. More than 200 research sites worldwide have
downloaded
this package.

Dr. Lin is the program co-chair of ACL 2012 and program co-chair of AAAI 2011
AI
and the Web special track. He was program co-chair of AIRS 2009. He also
served as
an area chair in ACL. He is an associate editor of ACM Transaction on Asian
Language Information Processing.

Hoping to see you all.
Best,
Rajhans


Rajhans Samdani,
Graduate Student,
Dept. of Computer Science,
University of Illinois at Urbana-Champaign.



  • [nl-uiuc] Reminder: AIIS talk by Dr. Chin-Yew Lin at 3pm, Rajhans Samdani, 11/01/2010

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