PPT-Partial Parsing

CSCIGA2590 Lecture 5A Ralph Grishman NYU Road Map Goal information extraction Paths POS tags partial parses semantic grammar POS tags full parses semantic interp rules. Partial correctness assertions are represented by intuitionistic linear implica tion We prove soundness and completeness over relational and trace models As a corollary we obtain a complete sequent calculus for inclusion and equivalence of regular e Dr . Niraj. . mishra. Prosthodontics. CONTENTS. GUIDE-PLANE RPD. SWING-LOCK RPD. REMOVABLE PARTIAL OVERDENTURE. IMPLANT SUPPORTED RPD. UNILATERAL RPD. Cu-. Sil. PARTIAL DENTURE. FLEXIBLE PARTIAL DENTURE. 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.. 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. CSCI-GA.2590. Ralph . Grishman. NYU. Ever Faster . Change from CKY and graph-based parsers to transition-based parsers has led to large speed-ups. with little loss of performance. making full-sentence parsing viable for large corpora. . ARCHITECTURE. 1. Agenda. Introduction. Partial Reconfiguration Basics. Design Considerations. Advantages of Partial Reconfiguration. Challenges of Partial Reconfiguration. Application Examples. Friend or Frankenstein? . Maintaining High Standards While . Fostering Student Growth. Meet Andy. Got D’s in College Algebra and Trig, “Flukes!”. Took up through Precalculus in High School, “No Problem!”. 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. 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. Introduction. In this chapter you will learn to add fractions with different denominators (a recap). You will learn to work backwards and split an algebraic fraction into components called ‘Partial Fractions’. 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. ,. 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 . 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