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Will Monroe
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2020 – today
- 2024
- [c9]Austin Xu
, Will Monroe
Large language model augmented exercise retrieval for personalized language learning. LAK 2024: 284-294 - [i13]Austin Xu, Will Monroe, Klinton Bicknell:
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning. CoRR abs/2402.16877 (2024) - 2020
- [c8]Stephen Mayhew, Klinton Bicknell, Chris Brust, Bill McDowell, Will Monroe, Burr Settles:
Simultaneous Translation and Paraphrase for Language Education. NGT@ACL 2020: 232-243
2010 – 2019
- 2018
- [b1]William Charles Monroe:
Learning in the rational speech acts model. Stanford University, USA, 2018 - [c7]Arianna Yuan, Will Monroe, Yu Bai, Nate Kushman:
Understanding the Rational Speech Act model. CogSci 2018 - [c6]Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts:
Generating Bilingual Pragmatic Color References. NAACL-HLT 2018: 2155-2165 - [i12]Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, Jiwei Li:
IcoRating: A Deep-Learning System for Scam ICO Identification. CoRR abs/1803.03670 (2018) - [i11]Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts:
Generating Bilingual Pragmatic Color References. CoRR abs/1803.03917 (2018) - 2017
- [j1]Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts:
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. Trans. Assoc. Comput. Linguistics 5: 325-338 (2017) - [c5]Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. EMNLP 2017: 2157-2169 - [i10]Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky:
Adversarial Learning for Neural Dialogue Generation. CoRR abs/1701.06547 (2017) - [i9]Jiwei Li, Will Monroe, Dan Jurafsky:
Learning to Decode for Future Success. CoRR abs/1701.06549 (2017) - [i8]Jiwei Li, Will Monroe, Dan Jurafsky:
Data Distillation for Controlling Specificity in Dialogue Generation. CoRR abs/1702.06703 (2017) - [i7]Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts:
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding. CoRR abs/1703.10186 (2017) - 2016
- [c4]Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao:
Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016: 1192-1202 - [c3]Will Monroe, Noah D. Goodman, Christopher Potts:
Learning to Generate Compositional Color Descriptions. EMNLP 2016: 2243-2248 - [i6]Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky:
Deep Reinforcement Learning for Dialogue Generation. CoRR abs/1606.01541 (2016) - [i5]Will Monroe, Noah D. Goodman, Christopher Potts:
Learning to Generate Compositional Color Descriptions. CoRR abs/1606.03821 (2016) - [i4]Jiwei Li, Will Monroe, Dan Jurafsky:
A Simple, Fast Diverse Decoding Algorithm for Neural Generation. CoRR abs/1611.08562 (2016) - [i3]Jiwei Li, Will Monroe, Dan Jurafsky:
Understanding Neural Networks through Representation Erasure. CoRR abs/1612.08220 (2016) - 2015
- [c2]Angel X. Chang, Will Monroe, Manolis Savva
Text to 3D Scene Generation with Rich Lexical Grounding. ACL (1) 2015: 53-62 - [i2]Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning:
Text to 3D Scene Generation with Rich Lexical Grounding. CoRR abs/1505.06289 (2015) - [i1]Will Monroe, Christopher Potts:
Learning in the Rational Speech Acts Model. CoRR abs/1510.06807 (2015) - 2014
- [c1]Will Monroe, Spence Green, Christopher D. Manning:
Word Segmentation of Informal Arabic with Domain Adaptation. ACL (2) 2014: 206-211
Coauthor Index
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