PPT-Collecting Highly Parallel Data for Paraphrase Evaluation

David L Chen The University of Texas at Austin William B Dolan Microsoft Research The 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies ACL June 20 2011. Collecting Data. Census. Survey. Experiment. Observational study. Interviews/ questionnaires. Data logger to record data over time. Survey Method. Advantages. Disadvantages. Observation. Systematic and mechanical. Part of the Scientific Process of Inquiry. Organizing & Interpreting Data. Before conducting an investigation, it is important to learn how to organize the data you have collected. . After you have organized the data, you need to make sense of what you have observed.. ENGL 110. What counts as paraphrase?. Not. this:. Original: Sending nude or seminude pictures, a phenomenon known as . sexting. , is a growing trend among teens (. Feyerick. ).. Bad paraphrase: Electronically delivering naked or semi-naked photographs, an action referred to as . Skill every college student should know. Objectives. At the end of this lesson, the students . should be able to:. define what a paraphrase is;. detail the steps in paraphrasing;. identify some errors in paraphrasing; and. a concise, detailed summary of key information or a main idea from another author . put . into your own words. for the purpose of your essay;. (“. Paraphrase: Write It in Your . O. wn . W. ords. ”). Aleksandar. . Prokopec. Martin . Odersky. 1. Near Optimal Work-Stealing Tree for Highly Irregular Data-Parallel Workloads. Aleksandar. . Prokopec. Martin . Odersky. Irregular Data-Parallel. 2. Uniform workload. Highly-parallel Accelerators. Marc . S. Orr. PhD Defense, . December . 5. , . 2016. Advisor: David A. Wood. Committee. : Brad Beckmann, Mark Hill, Nam . Sung Kim,. Karu. . Sankaralingam. , and Mike Swift. and Wind Energy: Understanding . Risk. Belgrade, Wednesday, May . 27. th. , . 2015. Chamber of Commerce and Industry of . Serbia. Aleksandar . Vulovic | Project Development & Environmental . Specialist. Objectives. At the end of this lesson, the students . should be able to:. define what a paraphrase is;. detail the steps in paraphrasing;. identify some errors in paraphrasing; and. write accurate paraphrase.. Understanding field methods is critical for analysis even if you did not collect the data so you have an idea of what is possible (and what is not).. This is required even with modern remotely sensed data so we can “Ground Truth” the data. Understanding field methods is critical for analysis even if you did not collect the data so you have an idea of what is possible (and what is not).. This is required even with modern remotely sensed data so we can “Ground Truth” the data. (Fred) X. . Guo. . PhD in Corpus Linguistics. Off-campus MA Supervisor of HNU. Freelance Translator and Researcher. For TC38 London, November 17 & 18, 2016. Self-introduction and . the . rational for this paper. Goals for Rest of Course. Learn how to program massively parallel processors and achieve. high performance. functionality and maintainability. scalability across future generations. Acquire technical knowledge required to achieve the above goals. Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.