PDF-Parsing with Compositional Vector Grammars Richard Soc

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Manning Andrew Y Ng Computer Science Department Stanford University Stanford CA 94305 USA richardsocherorg horatiogmailcom manningstanfordedu angcsstanfordedu Abstract

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Parsing with Compositional Vector Grammars Richard Soc: Transcript

Manning Andrew Y Ng Computer Science Department Stanford University Stanford CA 94305 USA richardsocherorg horatiogmailcom manningstanfordedu angcsstanfordedu Abstract Natural language parsing has typically been done with small sets of discrete cat. Richard . Longstreth. Architecture Degree—University of Pa. Ph.d.. in Architectural History—UC Berkeley. Richard . Longstreth. . . East Providence, Rhode Island. . Providence: Rhode Island Historical Preservation Commission, 1976. . Componen. t-. Based Information Systems. Jan Martijn van der Werf. Organizations cooperate. Bob. Charley. Alice. “Who-knows-who” not transitive!. Dave. Organizations deliver services. Bob. Charley. In-domain vs out-domain. Annotated data in. Domain A. A. Parser. Training. Parsing texts in . Domain A. Parsing texts in Domain B . In-domain. Out-domain. Motivation. F. ew or no labeled resources exist for parsing text of the target domain.. The Chomsky hierarchy of grammars . Context-free grammars describe languages that regular grammars can’t . Unrestricted. Context-sensitive. Context-free. Regular. Slide after Durbin, . et al. ., 1998. A . shorted version from. :. Anastasia . Berdnikova. &. Denis . Miretskiy. ‘Colourless green ideas sleep furiously’.. Chomsky constructed finite formal machines – ‘. grammars. ’.. ‘Does the language contain this sentence?’ (intractable) . 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. Read Chapter 23, sections . 3-4. Homework. Chapter . 23, exercises 1, 6, 14, 19. Do them in order. Do NOT read ahead.. Program 5. Any questions?. Parse Trees. A parse tree shows the . derivation. of a sentence in the language from the start symbol to the terminal symbols. . CDT301 – . Compiler. . Theory. , Spring 2011. Teacher. : Linus Källberg. 2. Outline. Introduction to parsing. Specifying language syntax using CFGs. Ambiguous grammars. Introduction to . parsing. Cradle. -to-Cradle . Design. . Douglas H. Fisher . Vanderbilt University. douglas.h.fisher@. vanderbilt.edu. Mary Lou Maher . University of Maryland, College Park. marylou.maher@. gmail.com. Presentation to the . Some slides are based on:. PPT presentation on dependency parsing by . Prashanth. . Mannem. Seven Lectures on Statistical . Parsing by Christopher Manning. . Constituency parsing. Breaks sentence into constituents (phrases), which are then broken into smaller constituents. CS 4705. Julia Hirschberg. 1. Some slides adapted from Kathy McKeown and Dan Jurafsky. Syntactic Parsing. Declarative . formalisms like CFGs, FSAs define the . legal strings of a language. -- but only tell you whether a given string is legal in a particular language. CS2110 – . Fall 2013. 1. Pointers to the textbook. 2. Parse trees. : . Text p. age . 592 (23.34), Figure 23-31. Definition of . Java . Language, sometimes useful: . http://docs.oracle.com/javase/specs/jls/se7/html/index.html. Ji. jih@rpi.edu. September . 13, . 2016. 2. /40. Syntax. By grammar, or syntax, we have in mind the kind of implicit knowledge of your native language that you had mastered by the time you were 3 years old without explicit instruction. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

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