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Computational Linguistics and Information Processing

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== Colloquia ==
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<center>[[Image:colloq.jpg|center|504px|x]]</center>
  
{{#widget:Google Calendar
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== CLIP Colloquium ==
|id=j68vmmdfnnq8khdrd9f93djv84@group.calendar.google.com
 
|color=B1440E
 
|title=CLIP Events
 
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=== Past Speakers ===
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The CLIP Colloquium is a weekly speaker series organized and hosted by CLIP Lab. The talks are open to everyone. Most talks are held on Wednesday at 11AM in AV Williams 3258 unless otherwise noted. Typically, external speakers have slots for one-on-one meetings with Maryland researchers.
  
* Roger Levy
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If you would like to get on the clip-talks@umiacs.umd.edu list or for other questions about the colloquium series, e-mail [mailto:oard@umiacs.umd.edu Doug Oard], the current organizer.
  
=== September 22: Earl Wagner ===
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For up-to-date information, see the [https://talks.cs.umd.edu/lists/7 UMD CS Talks page].  (You can also subscribe to the calendar there.)
  
'''Presenting the Context of News Events with Brussell'''
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=== Colloquium Recordings ===
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* [[Colloqium Recording (Fall 2020)|Fall 2020]]
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* [[Colloqium Recording (Spring 2021)|Spring 2021]]
  
Using content-specific models to guide information retrieval and extraction can provide richer interfaces to end-users for both understanding the context of news events and navigating related news articles. A system, Brussell, is presented that uses semantic models to organize retrieval and extraction results, generating both storylines explaining how news event situations unfold and also biographical sketches of the situation participants. A survey of business news suggests the broad prevalence of news event situations indicating Brussell's potential utility, and its performance in finding kidnapping situations is characterized.
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=== Previous Talks ===
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* [[https://talks.cs.umd.edu/lists/7?range=past Past talks, 2013 - present]]
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* [[CLIP Colloquium (Spring 2012)|Spring 2012]]  [[CLIP Colloquium (Fall 2011)|Fall 2011]]  [[CLIP Colloquium (Spring 2011)|Spring 2011]] [[CLIP Colloquium (Fall 2010)|Fall 2010]]
  
=== September 29: Eugene Charniak ===
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== CLIP NEWS  ==
  
'''Top-Down Nearly-Context-Sensitive Parsing'''
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* News about CLIP researchers on the UMIACS website [http://www.umiacs.umd.edu/about-us/news]
 
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* Please follow us on Twitter @umdclip [https://twitter.com/umdclip?lang=en]
We present a new syntactic parser that works left-to-right and top
 
down, thus maintaining a fully-connected parse tree for a few
 
alternative parse hypotheses.  All of the commonly used statistical
 
parsers use context-free dynamic programming algorithms and as such
 
work bottom up on the entire sentence.  Thus they only find a complete
 
fully connected parse at the very end. In contrast, both subjective
 
and experimental evidence show that people understand a sentence
 
word-to-word as they go along, or close to it. The constraint that
 
the parser keeps one or more fully connected syntactic trees is
 
intended to operationalize this cognitive fact. Our parser achieves a
 
new best result for top-down parsers of 89.4%,a 20% error reduction
 
over the previous single-parser best result for parsers of this type
 
of 86.8% (Roark01). The improved performance is due to embracing the
 
very large feature set available in exchange for giving up dynamic
 
programming.
 
 
 
 
 
Eugene Charniak is University Professor of Computer Science and
 
Cognitive Science at Brown University and past chair of the Department
 
of Computer Science.  He received his A.B. degree in Physics from
 
University of Chicago, and a Ph.D. from M.I.T. in Computer Science.
 
He has published four books the most recent being Statistical Language
 
Learning.  He is a Fellow of the American Association of Artificial
 
Intelligence and was previously a Councilor of the organization.  His
 
research has always been in the area of language understanding or
 
technologies which relate to it.  Over the last 20 years years he has
 
been interested in statistical techniques for many areas of language
 
processing including parsing and discourse.
 
 
 
=== October 4: Dave Newman ===
 
 
 
'''Topic modeling: Are we there yet?'''
 
 
 
Topic models -- such as Latent Dirichlet Allocation (LDA) -- have been
 
heralded by many as a revolutionary method for extracting semantic
 
content from document collections.  The machine learning community has
 
been busy extending the original LDA model in dozens of ways, but this
 
creation of new models has far outpaced broader applications of topic
 
modeling. Why this gap? I will share some insights as to why topic
 
models are not quite ready for prime time, including results from
 
studies of end-users using topics to find and access online resources.
 
I will present a pointwise mutual information (PMI) based measure that
 
is useful for evaluating topic models, as an alternative to perplexity
 
or log-likelihood of test data.  I will then show how one can leverage
 
PMI data to structure Dirichlet priors which regularize the learning
 
of topic models -- particularly for small or noisy document
 
collections -- to learn topics that are more coherent and
 
interpretable.
 
 
 
David Newman is a Research Scientist in the Department of
 
Computer Science at the University of California, Irvine and currently
 
visiting NICTA Australia.  His research focuses on theory and
 
application of topic models and related text mining and machine
 
learning techniques.  Newman's work combines theoretical advances with
 
practical applications to improve the way people find and discover
 
information.  Newman received his PhD from Princeton University.
 
 
 
=== October 6: EMNLP Practice Talks ===
 
 
 
Some subset of:
 
* Jordan Boyd-Graber
 
* Eric Hardisty
 
* Hendra Setiawan
 
* Amit Goyal
 

Revision as of 18:21, 6 June 2021

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CLIP Colloquium

The CLIP Colloquium is a weekly speaker series organized and hosted by CLIP Lab. The talks are open to everyone. Most talks are held on Wednesday at 11AM in AV Williams 3258 unless otherwise noted. Typically, external speakers have slots for one-on-one meetings with Maryland researchers.

If you would like to get on the clip-talks@umiacs.umd.edu list or for other questions about the colloquium series, e-mail Doug Oard, the current organizer.

For up-to-date information, see the UMD CS Talks page. (You can also subscribe to the calendar there.)

Colloquium Recordings

Previous Talks

CLIP NEWS

  • News about CLIP researchers on the UMIACS website [1]
  • Please follow us on Twitter @umdclip [2]