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Alvin Grissom II
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Cited by
Year
Pathologies of Neural Models Make Interpretations Difficult
S Feng, E Wallace, A Grissom II, M Iyyer, P Rodriguez, J Boyd-Graber
EMNLP, 2018
2032018
Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation
AC Grissom II, H He, J Boyd-Graber, J Morgan, H Daumé III
EMNLP, 2014
882014
Syntax-based Rewriting for Simultaneous Machine Translation
H He, A Grissom II, J Boyd-Graber, H Daumé III
EMNLP, 2015
32*2015
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
J Merullo, L Yeh, A Handler, A Grissom II, B O'Connor, M Iyyer
EMNLP, 2019
11*2019
Incremental Prediction of Sentence-final Verbs: Humans versus Machines
AC Grissom II, N Orita, J Boyd-Graber
CoNLL, 2016
9*2016
Annotating Factive Verbs
A Grissom II, Y Miyao
LREC, 2012
3*2012
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora
Y Fujinuma, AC Grissom II
IJCNLP, 2017
22017
Incremental Prediction and Decision-Making for Simultaneous Machine Translation
AC Grissom II
University of Colorado Boulder, 2017
12017
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs
W Li, A Grissom II, J Boyd-Graber
EMNLP Findings, 2020
2020
Assessing the Ability of Neural Machine Translation Models to Perform Syntactic Rewriting
J Robin, A Grissom II, M Roselli
Proceedings of the 2019 Workshop on Widening NLP, 2019
2019
Thinking about How NLP is Used to Serve Power: Current and Future Trends
A Grissom II
https://www.youtube.com/watch?v=xpq4FLyLsyE, 2019
2019
Gower as Data: Exploring the Application of Machine Learning to Gower’s Middle English Corpus
KL McShane, A Grissom II
Accessus 5 (2), 8, 2019
2019
Sentiment in Japanese: A Corpus-based Approach with Sociolinguistic and Cross-lingual Implications
AC Grissom II
Emory University, 2009
2009
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Articles 1–13