PPT-Uncertain input and noisy-channel sentence comprehension

Roger Levy UC San Diego LSA Institute 2011 26 July 2011 Garden Paths What we dont understand so well In previous days we covered idealobserver models of syntactic comprehension Today well add nuance to this picture. eduau Todd Mytkowicz Microsoft Research toddmmicrosoftcom Kathryn S McKinley Microsoft Research mckinleymicrosoftcom Abstract Emerging applications increasingly use estimates such as sen sor data GPS probabilistic models machine learning big data and Jeff Minneti. Associate Professor of Legal Skills and . Director of Academic Success. Stetson University College of Law. minneti@law.stetson.edu. Understand the process of reading comprehension. Build reading comprehension. Grace Oakley. What are Reading Comprehension Cognitive Strategies?. Visualising. Making connections. Fix-up strategies. Summarising. Asking questions. Making predictions. Inferring. Visualising. Making connections. . Hugh W. Catts, Ph.D.. University of Kansas. NIU 2013. Outline. Model of reading comprehension. Language basis of comprehension difficulties. Evidence for language basis. Early identification. Reading Comprehension. Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. Robust Control Toolbox. Reza . Alinezhad. . Aliakbar. . Afzalian. . Jan 2012. 2. Reza Alinezhad Aliakbar Afzalian. Outline. Modeling uncertainty . Uncertain Elements. Uncertain . Arijit Khan. Systems Group. ETH Zurich. Lei Chen. Hong . Kong University of Science and Technology. Social Network. Transportation Network. Chemical Compound. Biological Network. Graphs are Everywhere. Jeff Minneti. Associate Professor of Legal Skills and . Director of Academic Success. Stetson University College of Law. minneti@law.stetson.edu. Understand the process of reading comprehension. Build reading comprehension. Comprehension means “understanding”. How well you understand depends on….. How well you read the passage. Points To Remember. Read the passage fairly quickly to get a general idea. Read again slowly to know the details. Chapter 1: An Overview of Probabilistic Data Management. 2. Objectives. In this chapter, you will:. Get to know what uncertain data look like. Explore causes of uncertain data in different applications. Read & Respond . Climbing Blindly . Comprehension . Read & Respond . Climbing Blindly . Comprehension . Read & Respond . Climbing Blindly . Fact or Opinion? . Comprehension . BrainPopJr. Spikes in trigger rate. Periodic:. With B ON in 2008 . Without B on during MWGR18 . Sporadic . MWGR 19. Strip noise profile. 6 may . 22 April. REASON: HV problem in RB1 out sect 12. Noisy topology. ?. I . .Papathanasiou. 1,2,3. , . A. Archonti. 3. ,. . E. Efstratiadou. 2,3. , M. . Atsidakou. 1,3. , K. Hilari. 2,3. . . 1. Department of Speech and Language Therapy, TEI of Western Greece Patras, Greece. The Spelling Correction Task. Applications for spelling correction. 2. Web search. Phones. Word processing. Spelling Tasks. Spelling Error Detection. Spelling Error Correction:. Autocorrect . hte. .