PDF-Lazy Annotation for Program Testing and Verication K

Author : tatiana-dople | Published Date : 2014-11-12

L McMillan Cadence Berkeley Labs Abstract We describe an interpolantbased approach to test genera tion and model checking for sequential programs The method generates

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Lazy Annotation for Program Testing and Verication K: Transcript


L McMillan Cadence Berkeley Labs Abstract We describe an interpolantbased approach to test genera tion and model checking for sequential programs The method generates FloydHoare style annotations of the program on demand as a result of failure to ac. Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). PropBank. . Outline. Introduction to the project. Basic linguistic concepts. Verb & Argument. Making information explicit. Null arguments. Tasks to be carried out. Timesheets, tips. Creation of Resources. Massimo Poesio. University of . Essex. Part 1: Intro, . Microtask. . crowdsourcing. ANNOTATED CORPORA: . AN ERA OF PLENTY?. With the release of the . OntoNotes. and ANC corpora for English and a number of corpora for other languages (Prague Dependency Treebank especially) we may think we won’t need to do any more annotation for a while . A Close Reading Strategy for Better Comprehension. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. Triplets to Sentence Fingerprints. Motivation. . Scientific concepts are annotated with controlled vocabulary (CV) terms from ontologies such as Gene Ontology (GO) and Plant Ontology (PO). . Our Arabidopsis specific tool - . Abstract. A large number of organizations today generate and share textual descriptions of their products, services, and actions. Such collections of textual data contain significant amount of structured information, which remains buried in the unstructured text. While information extraction algorithms facilitate the extraction of structured relations, they are often expensive and inaccurate, especially when operating on top of text that does not contain any instances of the targeted structured information. . GO editors agreed on C16 relations . QuickGO graph of relations much less flat. 32. 51. Progress on Annotation extension relations. David OS transferred all . C16 relations . Wiki pages to . GitHub. and created new pages. Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). A Close Reading Strategy for Better Comprehension. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. . The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog.. Text Annotation by Teachers. What is Text Annotation?. While reading, students mark the pages for . Important information. Text meaning or key details. Ideas and questions. What About Highlighters?. (ideas for . joint journal paper). CEMI meeting, Praha, 14. 3. 2014. Outline. Introduction. Why annotations?. State-of-the-art in multimedia annotation. Search-based image annotation. What. . we. . The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. . Tool. (. TART). Outline. Pragmatics & Corpora. Speech/Dialogue-Act Annotation. The DART Approach. From DART to . TART. Observations & Issues. Intended Features. Potential Applications. Pragmatics & Corpora.

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