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Talk

 

Claire Cardie (Computer Science & Information Science, Cornell University)

Title and abstract TBA

 

Lunch talk double-header!

Sudha Rao (CS)

Teaching machines to ask useful clarification questions

Abstract TBA. 


Hanna Muller & Phoebe Gaston (LING)

Note the different location!

Lunch served at 12:15; please arrive early so you can be in your seat by 12:30. 

 

Meaning Through the Ages

 

This talk has been cancelled. 

 

Young children’s elicited productions of modal words: children differentiate modal “flavors” and forces

 

Machine Reading for Everyone

Abstract: Machine reading tools such as question answering systems have the potential to accelerate tasks that involve synthesizing information buried in vast text collections.

Recent advances in training deep neural networks have produced  high performing machine reading models.  However, the current success of deep learning hinges upon having large quantities of labeled data to robustly estimate model parameters. For many languages,  little to no labeled data is available for this.

 

Luis Alonso-Ovalle (Department of Linguistics, McGill University)

Title and abstract TBA

 

Lisa Pearl (Department of Language Science & Cognitive Sciences; University of California, Irvine)

Title and abstract TBA

 

Amy Rose Deal (Department of Linguistics, UC Berkeley)

Title and abstract TBA

 

Daniel Harbour (Department of Linguistics; Queen Mary University of London)

Frankenduals and Features Theory

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