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2020 – today
- 2024
[i4]John Bauer, Chloé Kiddon, Eric Yeh, Alexander Shan, Christopher D. Manning:
Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs. CoRR abs/2404.16250 (2024)
2010 – 2019
- 2019
- [c9]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:
Towards Federated Learning at Scale: System Design. SysML 2019 - [i3]Kallista A. Bonawitz, Hubert Eichner, Wolfgang Grieskamp, Dzmitry Huba, Alex Ingerman
, Vladimir Ivanov, Chloé Kiddon, Jakub Konecný, Stefano Mazzocchi, H. Brendan McMahan, Timon Van Overveldt, David Petrou, Daniel Ramage, Jason Roselander:
Towards Federated Learning at Scale: System Design. CoRR abs/1902.01046 (2019) - [i2]Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage:
Federated Evaluation of On-device Personalization. CoRR abs/1910.10252 (2019) - 2018
- [i1]Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage:
Federated Learning for Mobile Keyboard Prediction. CoRR abs/1811.03604 (2018) - 2016
- [b1]Chloé Kiddon:
Learning to Interpret and Generate Instructional Recipes. University of Washington, USA, 2016 - [c8]Chloé Kiddon, Luke Zettlemoyer, Yejin Choi:
Globally Coherent Text Generation with Neural Checklist Models. EMNLP 2016: 329-339 - 2015
- [c7]Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi:
Mise en Place: Unsupervised Interpretation of Instructional Recipes. EMNLP 2015: 982-992 - 2012
- [c6]Chloé Kiddon, Pedro M. Domingos:
Knowledge Extraction and Joint Inference Using Tractable Markov Logic. AKBC-WEKEX@NAACL-HLT 2012: 79-83 - 2011
- [c5]Chloé Kiddon, Pedro M. Domingos:
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models. AAAI 2011: 1049-1056 - [c4]Chloé Kiddon, Yuriy Brun:
That's What She Said: Double Entendre Identification. ACL (2) 2011: 89-94 - 2010
- [c3]Chloé Kiddon, Pedro M. Domingos:
Leveraging Ontologies for Lifted Probabilistic Inference and Learning. StarAI@AAAI 2010
2000 – 2009
- 2007
- [c2]Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel M. Cer, Daniel Ramage, Chloé Kiddon, Christopher D. Manning:
Robust Graph Alignment Methods for Textual Inference and Machine Reading. AAAI Spring Symposium: Machine Reading 2007: 36-42 - [c1]Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chloé Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, Christopher D. Manning:
Learning Alignments and Leveraging Natural Logic. ACL-PASCAL@ACL 2007: 165-170
Coauthor Index
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