PPT-Web Scale NLP: A Case Study on URL Word Breaking

Author : tawny-fly | Published Date : 2019-11-08

Web Scale NLP A Case Study on URL Word Breaking Kuansan Wang Chris Thrasher BoJune Paul Hsu Microsoft Research Redmond USA WWW 2011 March 31 2011 More Data gt Complex

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Web Scale NLP: A Case Study on URL Word Breaking: Transcript


Web Scale NLP A Case Study on URL Word Breaking Kuansan Wang Chris Thrasher BoJune Paul Hsu Microsoft Research Redmond USA WWW 2011 March 31 2011 More Data gt Complex Model 2 Banko and Brill. Fall 2011. Dr. Lillian N. Cassel. Overview of the class. Purpose: Course Description. How do they do that?  Many web applications, from Google to travel sites to resource . collections, . present results found by crawling the Web to find specific materials of interest to the application theme.  Crawling the Web involves technical issues, politeness conventions, characterization of materials, decisions about the breadth and depth of a search, and choices about what to present and how to display results.  This course will explore all of these issues.  In addition, we will address what happens after you crawl the web and acquire a collection of pages.  You will decide on the questions, but some possibilities might include these:  What summer jobs are advertised on web sites in your favorite area?  What courses are offered in most (or few) computer science departments?  What theatres are showing what movies?  etc?   Students will develop a web site built by crawling at least some part of the web to find appropriate materials, categorize them, and display them effectively.  Prerequisites: some programming experience: CSC 1051 or the equivalent.. Toby Walsh. NICTA and UNSW. Random . Tie Breaking. Haris. Aziz, Serge Gaspers, Nick . Mattei. , Nina . Narodytska. , Toby Walsh. NICTA and UNSW. Ties matter. Manipulators can only change result if election is close!. Subproblems. . Meliha. . Yetisgen-Yildiz. From last week’s discussion. Presentation. Schedule. : . http. ://faculty.washington.edu/melihay/. MEBI591C.htm. 50 . minutes . presentation+discussion+question. Stress . triggers. A “. stress trigger. ” is something that really makes you feel upset- mad, sad, frustrated, annoyed, etc.. Each of us have different stress triggers.. Once we are triggered, we can . Rick Kelly. Injuries from Breaking Glass or Quartz in MSD. Accidentally breaking glassware. Turned and struck flask against bench. Dropped beaker. Intentionally breaking glass. Cut while opening ampule with hand. Introduction. Polysemy. Words have multiple senses. Example. Let’s have a drink in the bar. I have to study for the bar. Bring me a chocolate bar. Homonymy. May I come in?. Let’s meet again in May. Cedric Cochin 1 TBD. Intel Security - McAfee Labs. TBD, 2015. Who’s this guy. ?! . Hi, I. ’m @. cedric. h. asn’t changed…. Agenda – SESSION 1. Topics. Web as a threat delivery mechanism. Anatomy of the modern user agent. Parser. Earley. parser. Problems with left recursion in top-down parsing. VP . . VP PP. Background. Developed by Jay Earley in 1970. No need to convert the grammar to CNF. Left to right. Complexity. Jimmy Lin. The . iSchool. University of Maryland. Wednesday, September 2, 2009. NLP. IR. About Me. Teaching Assistant: . Melissa Egan. CLIP. About You (pre-requisites). Must be interested in NLP. Must have strong computational background. Text Similarity. Motivation. People can express the same concept (or related concepts) in many different ways. For example, “the plane leaves at 12pm” vs “the flight departs at noon”. Text similarity is a key component of Natural Language Processing. Jiho . Han. Ronny (. Dowon. ) . Ko. Objective:. automatically generate the summary of review extracting the strength/weakness of the product. Use NLP techniques to predict ratings. Similar to sentimental analysis. WIX – ANICE Izrada uz Wix ADI – 2. dio Sadržaj 1. Izmjena naziva postojeće web stranice ................................ ................................ ................................ ...... by Hua Xu. Recent Activities. ETL tool development. Note Type Normalization. COVID-19 lab test normalization . A Potential ETL Workflow for NLP. Note. Note_NLP. Measure-. ment. Condition. Procedure. Drug. cs160. Fall 2009. adapted from:. http://www.stanford.edu/class/cs276/handouts/. lecture14-Crawling.. ppt. Administrative. Midterm. Collaboration on . homeworks. Possible topics with equations for midterm.

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