E-mail: chloe at cs dot washington dot edu
Office: 352 Allen Center
University of Washington
Dept. of Computer Science and Engineering
University of Washington
Seattle, WA, 98195-2350
I have graduated from the University of Washington!
My advisors were Professors Yejin Choi and Luke Zettlemoyer, and my thesis was on interpreting and generating instructional recipes. I am interested in natural language understanding, natural language generation, and machine learning. I was supported by an NSF fellowship
- Chloé Kiddon, Luke Zettlemoyer, and Yejin Choi. Globally Coherent Text Generation with Neural Checklist Models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016. (slides)
- Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, and Yejin Choi. Mise en Place: Unsupervised Interpretation of Instructional Recipes. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.
- Chloé Kiddon and Pedro Domingos. Knowledge Extraction and Joint Inference Using Tractable Markov Logic. In the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX 2012) at NAACL-HLT 2012. 2012.
- Chloé Kiddon and Pedro Domingos. Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models. In the Twenty-Fifth AAAI Conference on Artificial Intelligence. 2011.
- Chloé Kiddon and Yuriy Brun. That's What She Said: Double Entendre Identification. In the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. 2011.
- Chloé Kiddon and Pedro Domingos. Leveraging Ontologies for Lifted Probabilistic Inference and Learning. In the AAAI-10 Workshop on Statistical Relational AI (StarAI). 2010.
- Nathanael Chambers, Daniel Cer, Trong Grenager, David Hall, Chloe Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, and Christopher D. Manning. Learning Alignments and Leveraging Natural Logic. In ACL-PASCAL Workshop on Textual Entailment and Paraphrasing. 2007.
- Marie-Catherine de Marneffe, Trong Grenager, Bill MacCartney, Daniel Cer, Daniel Ramage, Chloé Kiddon, and Christopher D. Manning. Aligning semantic graphs for textual inference and machine reading. In AAAI Spring Symposium at Stanford. 2007.
I grew up in New England but quickly decided the cold snowy winters were not for me. I completed my B.S. in Computer Science at Stanford University in June 2008. I graduated with honors with an honors thesis entitled "Applying Markov Logic for Textual Entailment". During my time at Stanford, I worked in The Stanford Natural Language Processing Group under the supervision of Professor Christopher Manning.