Event
M.S. Thesis Defense: Wenyan Li
Monday, June 25, 2018
2:00 p.m.
AVW 2460
Maria Hoo
301 405 3681
mch@umd.edu
ANNOUNCEMENT: M.S. Thesis Defense
Name: Wenyan Li
Committee:
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Professor Betash Babadi, Chair Professor Jordan Boyd-Graber Professor Alexander Barg |
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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.
