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[nl-uiuc] AIIS talk by Prof. Ani Nenkova on Jan 25


Chronological Thread 
  • From: "Samdani, Rajhans" <rsamdan2 AT illinois.edu>
  • To: "aiis AT cs.uiuc.edu" <aiis AT cs.uiuc.edu>, "aivr AT cs.uiuc.edu" <aivr AT cs.uiuc.edu>, "vision AT cs.uiuc.edu" <vision AT cs.uiuc.edu>, "eyal AT cs.uiuc.edu" <eyal AT cs.uiuc.edu>, "aistudents AT cs.uiuc.edu" <aistudents AT cs.uiuc.edu>, "Girju, Corina R" <girju AT illinois.edu>, "Blake, Catherine" <clblake AT illinois.edu>, nl-uiuc <nl-uiuc AT cs.uiuc.edu>, "Efron, Miles James" <mefron AT illinois.edu>
  • Subject: [nl-uiuc] AIIS talk by Prof. Ani Nenkova on Jan 25
  • Date: Mon, 21 Jan 2013 23:49:35 +0000
  • Accept-language: en-US
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc/>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>

Hi all,

We kick-off the AIIS seminar this semester with a talk by Prof. Ani Nenkova
(http://www.cis.upenn.edu/~nenkova/) from the University of Pennsylvania.

* Please notice that we'll resume our 2 pm Friday slot for the seminar this
semester *

** MEETING: Please send me or
bisk1 AT illinois.edu
an email if you wat to meet Prof. Nenkova **

Following are the details of the talk

When: Jan 25, 2 pm.

Where: 3405, Siebel Center

Title:
Assessing text quality with automatic text specificity and communicative goal
predictions 

Abstract:
Aspiring writers are often told that in order to learn to write well, they
need to read high quality texts. Most of us, however, find it surprisingly
hard to pinpoint what aspects of well-written texts make them so good. In
this talk I will present our most recent work on automatic discovery of
elements of text quality with a focus on discovery of communicative goals and
text specificity. Our results suggest that the quality of texts form several
genres could be predicted automatically. 

Our models of communicative goals rely entirely on structural features to
detect sentences with similar communicative goals across a collection of
texts. Our experiments show that coherent texts exhibit strong structural
patterns in pairs of adjacent sentences and that text coherence can be
accurately estimated from these patterns. We have applied this coherence
model to academic and journalistic writing. We have found significant
differences in the communicative goals expressed in great and typical writing
in these domains and I will discuss some of these differences. 

This is joint work with Annie Louis. 

Bio:
Ani Nenkova is an Assistant Professor of Computer and Information Science at
the University of Pennsylvania. Her main areas of research are automatic
summarization, discourse, and text quality. She obtained her PhD degree in
Computer Science from Columbia University in 2006. She also spent a year and
a half as a postdoctoral fellow at Stanford University before joining Penn in
Fall 2007. 

Best,
Rajhans



  • [nl-uiuc] AIIS talk by Prof. Ani Nenkova on Jan 25, Samdani, Rajhans, 01/21/2013

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