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M.S. Thesis Defense: Wenyan Li
Monday, June 25, 2018
2:00 p.m.
AVW 2460
For More Information:
Maria Hoo
301 405 3681
mch@umd.edu

ANNOUNCEMENT: M.S. Thesis Defense


Name: Wenyan Li

 

Committee: 

Professor Betash Babadi, Chair

Professor Jordan Boyd-Graber

Professor Alexander Barg

 

Date & Time: Monday, June 25th at 2:00pm

 

Place: AVW 2460 

 

Title: Incremental Prediction of Sentence-final Verbs with Attentive Recurrent Neural Networks 

Abstract: 

Sentence-final verb prediction has garnered attention both in computational lin-

guistics and psycholinguistics. It is indispensable for understanding human processing

of verb-final languages, more recently, it has been used for computational approaches to

simultaneous interpretation from verb-final to verb-medial languages. While previous ap-

proaches use classical statistical models, we introduce an attention-based neural model, 

Attentive Neural Verb Inference for Incremental Language (ANVIIL),  to

incrementally predict final verbs on incomplete sentences. Our approach both better pre-

dicts the final verbs in Japanese and German and provides more interpretable

explanations  of why those verbs are selected.



This Event is For: Faculty

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