Resultados de búsqueda - Dan Roth

Modeling Semantic Relations Expressed by Prepositions por Vivek Srikumar, Dan Roth

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Introduction to the Special Issue on Natural Language and Learning Machines por Dan Roth, Roberto Basili

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Mapping to Declarative Knowledge for Word Problem Solving por Subhro Roy, Dan Roth

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Building a State-of-the-Art Grammatical Error Correction System por Alla Rozovskaya, Dan Roth

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Concept Grounding to Multiple Knowledge Bases via Indirect Supervision por Chen-Tse Tsai, Dan Roth

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Reasoning about Quantities in Natural Language por Subhro Roy, Tim Vieira, Dan Roth

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Identifying Semitic Roots: Machine Learning with Linguistic Constraints por Ezra Daya, Dan Roth, Shuly Wintner

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Adapting to Learner Errors with Minimal Supervision por Alla Rozovskaya, Dan Roth, Mark Sammons

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Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary por Daniel Deutsch, Tania Bedrax-Weiss, Dan Roth

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The Importance of Syntactic Parsing and Inference in Semantic Role Labeling por Vasin Punyakanok, Dan Roth, Wen-tau Yih

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Erratum: “From Paraphrase Database to Compositional Paraphrase Model and Back” por John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu, Dan Roth

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Task-Oriented Dialogue as Dataflow Synthesis por Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov

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