Building Linguistically Generalizable NLP Systems
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Workshop Description

The workshop will take place at EMNLP in Copenhagen, Denmark.
Date:
 Friday, September 8, 2017. 
Location: Enghave Plads & Kodbyen at CPH conference facility
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Machine learning techniques have had immeasurable positive impact on the field of natural language processing, to the point that we now have systems for many NLP problems that work incredibly well, at least when the NLP problem is carefully designed, and these systems are tested on data that looks like their training data. Especially with the influx of deep learning approaches to NLP, we find ourselves more and more in the situation that we have systems that work well under some conditions, but have little idea what those conditions are.

We believe that linguistic knowledge is indispensable in many phases of the NLP pipeline, including:
  1. Task design and choice of language(s)
  2. Annotation schema design
  3. System architecture design and/or feature design
  4. Evaluation design and error analysis
  5. Generalization beyond training data

Our goal in this workshop is to bring together researchers from NLP and Linguistics through a carefully designed shared task. This shared task is designed to test the true generalization ability of NLP systems beyond the distribution of data on which they may have been trained. Details will be released in early 2017.
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This workshop will take place at EMNLP 2017, in Copenhagen, Denmark.

​This workshop adheres to the ACL anti-harassment policy. Any participant who experiences harassment or hostile behavior may contact any current member of the ACL Executive Committee or contact Priscilla Rasmussen.

Organizers

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Emily M. Bender
University of Washington
Linguistics
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Hal Daumé III
University of Maryland
Computer Science
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Allyson Ettinger
University of Maryland
Linguistics
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Sudha Rao
University of Maryland
Computer Science
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  • Home
  • CFP
  • Schedule
  • Organization
  • Accepted Papers
  • Invited Talks