PPT-Data Recombination for Neural Semantic Parsing

Author : brambani | Published Date : 2020-06-15

Robin Jia and Percy Liang Stanford University Semantic Parsing What states border Texas 2 Semantic Parser AndState NextTo StateId Texas New Mexico Oklahoma Arkansas

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Data Recombination for Neural Semantic Parsing: Transcript


Robin Jia and Percy Liang Stanford University Semantic Parsing What states border Texas 2 Semantic Parser AndState NextTo StateId Texas New Mexico Oklahoma Arkansas Louisiana. Module 1 - . Part . 1. The . Semantic Web and Linked Data . Concepts: . A . basic overview . . 1-. 1. Library of . Congress. BIBFRAME Pilot Training . for Catalogers. Overview. Context . Goals . of the . Semi-supervised . dependency parsing. Supervised parsing . Training: Labeled data. Semi-supervised parsing. Training: Additional unlabeled data + labeled data. Unlabeled data. Labeled data. Semi-supervised Parsing. Summary of assumptions so far. We have covered the role of chance (parent choice), demography (population size) and mutation, in shaping genetic diversity. . Neutral Wright-Fisher . models. Parents are always chosen at random. This means no new mutations affect reproductive success of parents, i.e. . Global Neural CCG Parsing with Optimality Guarantees. Agenda.  . Deep Learning. RNN and LSTM. A* parser. Global Neural CCG parsing. Conclusion. Deep Learning. The Winter of Neural Nets. In the 1980s neural network models were proposed and attracted much interest, with some empirical success. On Semantic Perception, Mapping and Exploration (SPME). Karlsruhe, Germany ,2013. Semantic Parsing for Priming Object Detection in RGB-D Scenes. Cesar Cadena and Jana Kosecka. Motivation. 5/5/2013. Long-term robotic operation. ,. SEMANTIC ROLE . LABELING, SEMANTIC PARSING. Heng. . Ji. jih@rpi.edu. September 17, . 2014. Acknowledgement: . FrameNet. slides from Charles . Fillmore;. Semantic Parsing Slides from . Rohit. Kate and Yuk . for . Speech Recognition. Rodolfo Corona. 1. Outline. Introduction. Background. Related Work. Methodology. Experiment. Dataset. Experimental Set-up. Experiments & Results. Conclusion. Future Work. Movement led by W3C that promotes common formats for data on the web. Describes things in a way that computer applications can understand it. Describes the relationship between things and properties of things. Paper by John McCormac, Ankur Handa, Andrew Davison, and Stefan Leutenegger Dyson Robotics Lab, Imperial College London. Presentation by Chris Conte. Hey robot, go fetch me a Twix from the snack bar. Introduction. Jeff Heflin. Lehigh University. The Semantic Web. “Semantic” “Web”. Semantic: "of or relating to meaning in language" (Def. Webster’s). Web: The World Wide Web. Official Definition. Semantic Parsing. Converting natural language to a logical form. e.g., executable code for a specific application. Example:. Airline reservations. Geographical query systems. Stages of Semantic . Parsing. the Department set of this grammar the grammar in which very powerful of movinga new AcknowledgmentsI am very grateful to the many people who have influenced this research and madethis thesis possible Dec 2018. The Past ~30 Odd Years. 1984 . Lenat’s. Cyc vision. 1989 TBL’s Web vision. 1991 DARPA Knowledge Sharing Effort. 1996 RDF. 1998 XML. 1999 RDFS. 2000 DARPA Agent Markup Language, OIL. 2001 W3C Semantic Web Activity. Sequential Question Answering. Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang. ACL-2017. Challenging research problem. Advocated in semantic parsing. [Pasupat & Liang 2015]. But, a . natural. way to interact with a question answering system?.

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