PPT-APE: An Annotation Language and Middleware for Energy-Efficient Mobile Application Development

Nima Nikzad Octav Chipara and William G Griswold nnikzadcsucsdedu Dept of Computer Science and Engineering UC San Diego Dept of Computer Science University of Iowa . 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). entry area tel|mobile [0-9]+ [0-9]+ fwd free entry entry entry area tel mobile area tel mobile 03 10091729 1201 1222 free 1887 free fwd entry tel|mobile entry [0-9]+ area [0-9]+ tel|mobile [0-9]+ [0-9 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. 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. . Philip . McParlane. , Yashar Moshfeghi and Joemon M. Jose. University of Glasgow, UK. http://www.dcs.gla.ac.uk/~philip/. p.mcparlane.1@research.gla.ac.uk. Motivation for annotating images. Problems with existing automatic image annotation collections. 2. n-gram language model. 3. classifier. Studying Humour Features - Bolla, Whelan. Guidelines. define tags and describe how they should be applied. Data. 500 reviews of varying length (>7300 sentences). Nima Nikzad. , . Octav. . Chipara. †. , . and William G. Griswold. nnikzad@cs.ucsd.edu. Dept. of Computer Science and Engineering, UC San Diego. Dept. of Computer Science, University . of . Iowa. †. Publish . ：. 2012 . IEEE International Conference on . . . Computational . Intelligence and Computing Research. Authors . ：. Priya.A.Kotwal. , . Adwitiy.R.Singh. Time . Prof. Nalini . Venkatasubramanian. . &. Prof. Yusuf . Sarwar. Dept. of Information & Computer Science. University of California, Irvine. Intro to Distributed Systems Middleware. 2. CS 237/. NetSys. The TENA Middleware supports distributed real-time application development These applications appear in many domains such as telecom aerospace military testing and training ranges and financial servi 2. I am an ape who is the ancestor to orangutans. I am:. 3. I am the first (earliest) possible primate, also known as a . protoprimate. . I am :. 4. I am an ape ancestor, but I did not knuckle-walk like apes today. I am:. Let\'s explore why residents prefer mobile laundry services and the benefits it brings to their lives. Book your clothes cleaning with us! Addison Snell, CEO. addison. @intersect360.com. Technical Computing. Top-line missions: . Find the oil. Design the minivan. Cure the disease. Driven by price/performance. Fast adoption of new technologies, algorithms, and approaches.