Event
M.S. Thesis Defense: Wenyan Li
Monday, June 25, 2018
2:00 p.m.-4:00 p.m.
AVW 2460
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, 2018 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 linguistics 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 approaches 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 predicts the final verbs in Japanese and German and provides more interpretable explanations of why those verbs are selected.