PPT-DEPENDENCY PARSING ， Framenet

SEMANTIC ROLE LABELING SEMANTIC PARSING Heng Ji jihrpiedu September 17 2014 Acknowledgement FrameNet slides from Charles Fillmore Semantic Parsing Slides from Rohit Kate and Yuk . Ling 571. Deep Processing Techniques for NLP. January 12, 2011. Roadmap . Motivation: . Parsing (In) efficiency. Dynamic Programming. Cocke. -. Kasami. -Younger Parsing Algorithm . Chomsky Normal Form. / . FrameNet. Steven Schoonover. Overview. What is . VerbNet. ?. Levin Classification. In-depth look at . VerbNet. Evolution of . VerbNet. What is . FrameNet. ?. Applications. What is . VerbNet. ?. Lana Lazebnik. UNC Chapel Hill. sky. sidewalk. building. road. car. person. car. mountain. The past: . “closed universe. ” datasets. Tens of classes, hundreds of images, offline learning. He et al. (2004), . MAFAA Conference May 2015. Mike . Arieta. MSW, LICSW, LCSW Financial Aid Counselor, University of Minnesota-Twin Cities . What is a Professional Judgment/Dependency Override? . Often used in cases of either dependency overrides or income/data element adjustments. 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. Prof. O. . Nierstrasz. Thanks to Jens Palsberg and Tony Hosking for their kind permission to reuse and adapt the CS132 and CS502 lecture notes.. http://www.cs.ucla.edu/~palsberg/. http://www.cs.purdue.edu/homes/hosking/. , . PropBank. , . VerbNet. Rich Pell. FrameNet. , . PropBank. , . VerbNet. When s. yntactic information is not enough. Lexical databases. Annotate a natural language corpus with semantic information. Top-down vs. bottom-up parsing. Top-down . vs. bottom-up . parsing. Ex. Ex. Ex. Ex. +. Nat. *. Nat. Nat. Ex. Ex. . . . Nat. | . (. Ex. ). | . Ex. . +. . Ex. | . Ex. . *. . Ex. Matched input string. Niranjan Balasubramanian. March 24. th. 2016. Credits: . Many slides from:. Michael Collins, . Mausam. , Chris Manning, . COLNG 2014 Dependency Parsing Tutorial, . Ryan McDonald, . . Joakim. . Nivre. 1. Some slides . adapted from Julia Hirschberg and Dan . Jurafsky. To view past videos:. http://. globe.cvn.columbia.edu:8080/oncampus.php?c=133ae14752e27fde909fdbd64c06b337. Usually available only for 1 week. Right now, available for all previous lectures. Top-down versus Bottom-up Parsing. Top down:. Recursive descent parsing. LL(k) parsing. Top to down and leftmost derivation . Expanding from starting symbol (top) to gradually derive the input string. 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. Parsing Giuseppe Attardi Dipartimento di Informatica Università di Pisa Università di Pisa Question Answering at TREC Consists of answering a set of 500 fact-based questions, e.g. “When was Mozart born Parsing Giuseppe Attardi Dipartimento di Informatica Università di Pisa Università di Pisa Question Answering at TREC Consists of answering a set of 500 fact-based questions, e.g. “When was Mozart born