Chloé Kiddon

According to our database, Chloé Kiddon authored at least 12 papers between 2007 and 2019.

Collaborative distances:

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

2019

Federated Evaluation of On-device Personalization.

Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage

CoRR, 2019

Towards Federated Learning at Scale: System Design.

Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander

Proceedings of Machine Learning and Systems 2019, 2019

2018

Federated Learning for Mobile Keyboard Prediction.

Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage

CoRR, 2018

2016

Learning to Interpret and Generate Instructional Recipes.

Chloé Kiddon

PhD thesis, 2016

Globally Coherent Text Generation with Neural Checklist Models.

Chloé Kiddon, Luke Zettlemoyer, Yejin Choi

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

2015

Mise en Place: Unsupervised Interpretation of Instructional Recipes.

Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2012

Knowledge Extraction and Joint Inference Using Tractable Markov Logic.

Chloé Kiddon, Pedro M. Domingos

Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

2011

That's What She Said: Double Entendre Identification.

Chloé Kiddon, Yuriy Brun

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models.

Chloé Kiddon, Pedro M. Domingos

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Leveraging Ontologies for Lifted Probabilistic Inference and Learning.

Chloé Kiddon, Pedro M. Domingos

Proceedings of the Statistical Relational Artificial Intelligence, 2010

2007

Learning Alignments and Leveraging Natural Logic.

Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, Christopher D. Manning

Proceedings of the ACL-PASCAL@ACL 2007 Workshop on Textual Entailment and Paraphrasing, 2007

Robust Graph Alignment Methods for Textual Inference and Machine Reading.

Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel M. Cer, Daniel Ramage, Chloé Kiddon, Christopher D. Manning

Proceedings of the Machine Reading, 2007