Difference between revisions of "Fall 2022 Schedule"

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The CompSem meeting for the Spring 2014 will be on Wednesdays from 10:30AM-12:00PM in the CINC Fishbowl.
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|2014.08.27 || Md Arafat Sultan - Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence http://www.transacl.org/wp-content/uploads/2014/05/53.pdf
=Fall 2014=
 
{|class="wikitable" border="1"
 
! scope="col" rowspan="2"|Date
 
! scope="col" rowspan="2"|Time
 
! scope="col"|Presenter
 
! scope="col"|Topic
 
! scope="col"|Links & Attachments
 
 
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! scope="col" colspan="3"|Description
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|2014.09.03 || Bill Foland - Natural Language Processing with Hierarchical Neural Network Models; Claire Bonial - Take a Look at this! Form, Function and Productivity of English Light Verb Constructions
 
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|rowspan="2"  style="white-space:nowrap"|2014-08-27||rowspan="2" style="white-space:nowrap"|10:30||[[Md Arafat Sultan]]||Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence
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|2014.09.10 || Khang Lam (University of Colorado at Colorado Springs)
||[http://www.transacl.org/wp-content/uploads/2014/05/53.pdf The Paper]
 
 
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|colspan="3"|We present a simple, easy-to-replicate monolingual aligner that demonstrates state-of-the-art performance while relying on almost no supervision and a very small number of external resources. Based on the hypothesis that words with similar meanings represent potential pairs for alignment if located in similar contexts, we propose a system that operates by finding such pairs. In two intrinsic evaluations on alignment test data, our system achieves F<sub>1</sub> scores of 88–92%, demonstrating 1–3% absolute improvement over the previous best system. Moreover, in two extrinsic evaluations our aligner outperforms existing aligners, and even a naive application of the aligner approaches state-of the-art performance in each extrinsic task.
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|2014.09.17 || Event extraction report
 
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|rowspan="4"|2014-09-03||rowspan="2"|10:30||[[Bill Foland]]||Natural Language Processing with Hierarchical Neural Network Models||???
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|2014.09.24 || Chris Jenkins - The Natural Sciences need better Semantics Data: NLP and ML technologies from Biomedicine can help
 
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|colspan="3"|???
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|2014.10.01 || ???
 
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|rowspan="2"|12:15||[[Claire Bonial]]||Take a Look at this! Form, Function and Productivity of English Light Verb Constructions||???
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|2014.10.08 || ???
 
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|colspan="3"|Dissertation research and its relevance to PropBank and AMRs. Preparation for a job talk.
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|2014.10.15 || ???
 
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|rowspan="2"|2014-09-03||rowspan="2"|10:30||???||???||???
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|2014.10.22 || ???
 
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|colspan="3"|???
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|2014.10.29 || ???
 
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|rowspan="2"|2014-09-10||rowspan="2"|10:30||???||???||???
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|2014.11.05 || ???
 
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|colspan="3"|???
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|2014.11.12 || ???  
 
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|rowspan="2"|2014-09-17||rowspan="2"|10:30||???||???||???
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|2014.11.19 || ???
 
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|-
|colspan="3"|???
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| style="background-color: DarkGray;" | 2014.11.26 || style="background-color: DarkGray;" |Fall break
 
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|rowspan="2"|2014-09-24||rowspan="2"|10:30||???||???||???
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|2014.12.03 || ???
 
|-
 
|-
|colspan="3"|???
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|2014.12.10 || ???
|-
 
|rowspan="2"|2014-10-01||rowspan="2"|10:30||???||???||???
 
|-
 
|colspan="3"|???
 
|-
 
|rowspan="2"|2014-10-08||rowspan="2"|10:30||???||???||???
 
|-
 
|colspan="3"|???
 
|-
 
|rowspan="2"|2014-10-15||rowspan="2"|10:30||???||???||???
 
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|colspan="3"|???
 
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|rowspan="2"|2014-10-22||rowspan="2"|10:30||???||???||???
 
|-
 
|colspan="3"|???
 
|-
 
|rowspan="2"|2014-10-29||rowspan="2"|10:30||???||???||???
 
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|colspan="3"|???
 
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|rowspan="2"|2014-11-05||rowspan="2"|10:30||???||???||???
 
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|colspan="3"|???
 
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|rowspan="2"|2014-11-12||rowspan="2"|10:30||???||???||???
 
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|colspan="3"|???
 
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|rowspan="2"|2014-11-19||rowspan="2"|10:30||???||???||???
 
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|colspan="3"|???
 
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|colspan="2"|2014-11-24 through 28||colspan="3" style="background-color: gray; text-align: center;"|Fall Break
 
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|rowspan="2"|2014-12-03||rowspan="2"|10:30||???||???||???
 
|-
 
|colspan="3"|???
 
|-
 
|rowspan="2"|2014-12-10||rowspan="2"|10:30||???||???||???
 
|-
 
|colspan="3"|???
 
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|colspan="2"|2014-12-14 through 18||colspan="3" style="background-color: gray; text-align: center;"|Final Exams
 
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|colspan="2"|2014-12-19 through 31||colspan="3" style="background-color: gray; text-align: center;"|Winter Break
 
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|}
 
 
 
==Topics for Fall 2014==
 
{|class="wikitable" border="1"
 
! Topic
 
! Person who Thinks it's Important
 
! Person(s) Nominated to Present it
 
 
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|-
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|2014.12.14 || ???
 
|}
 
|}
  

Revision as of 11:55, 4 September 2014

2014.08.27 Md Arafat Sultan - Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence http://www.transacl.org/wp-content/uploads/2014/05/53.pdf
2014.09.03 Bill Foland - Natural Language Processing with Hierarchical Neural Network Models; Claire Bonial - Take a Look at this! Form, Function and Productivity of English Light Verb Constructions
2014.09.10 Khang Lam (University of Colorado at Colorado Springs)
2014.09.17 Event extraction report
2014.09.24 Chris Jenkins - The Natural Sciences need better Semantics Data: NLP and ML technologies from Biomedicine can help
2014.10.01 ???
2014.10.08 ???
2014.10.15 ???
2014.10.22 ???
2014.10.29 ???
2014.11.05 ???
2014.11.12 ???
2014.11.19 ???
2014.11.26 Fall break
2014.12.03 ???
2014.12.10 ???
2014.12.14 ???

Past Schedules