Will Monroe

According to our database, Will Monroe authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large language model augmented exercise retrieval for personalized language learning.

Austin Xu, Will Monroe, Klinton Bicknell

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2020

Simultaneous Translation and Paraphrase for Language Education.

Stephen Mayhew, Klinton Bicknell, Chris Brust, Bill McDowell, Will Monroe, Burr Settles

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2018

Learning in the rational speech acts model.

William Charles Monroe

PhD thesis, 2018

IcoRating: A Deep-Learning System for Scam ICO Identification.

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

CoRR, 2018

Generating Bilingual Pragmatic Color References.

Will Monroe, Jennifer Hu, Andrew Jong, Christopher Potts

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Understanding the Rational Speech Act model.

Arianna Yuan, Will Monroe, Yu Bai, Nate Kushman

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding.

Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, Christopher Potts

Trans. Assoc. Comput. Linguistics, 2017

Adversarial Learning for Neural Dialogue Generation.

Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky

CoRR, 2017

Data Distillation for Controlling Specificity in Dialogue Generation.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2017

Learning to Decode for Future Success.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2017

Adversarial Learning for Neural Dialogue Generation.

Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Understanding Neural Networks through Representation Erasure.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2016

A Simple, Fast Diverse Decoding Algorithm for Neural Generation.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2016

Learning to Generate Compositional Color Descriptions.

Will Monroe, Noah D. Goodman, Christopher Potts

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Reinforcement Learning for Dialogue Generation.

Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Learning in the Rational Speech Acts Model.

Will Monroe, Christopher Potts

CoRR, 2015

Text to 3D Scene Generation with Rich Lexical Grounding.

Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Word Segmentation of Informal Arabic with Domain Adaptation.

Will Monroe, Spence Green, Christopher D. Manning

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014