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• The Politics of ParsingHillary Clinton responds with double-talk during the Democratic candidates debate on October 30, 2007.
• Dana Perino: We're Not Occupying Iraq, We Were Invited!In this clip from C-SPAN, White House spokeswoman Dana Perino tells Helen Thomas that the US isn't occupying Iraq, and that we're there by invitation of the sovereign government of Iraq. Oh, and that we're there under a UN mandate. You know, the one that didn't authorize force?
• Forest-based Search Algorithms in Parsing and Machine TranslationGoogle Tech TalksMarch, 14 2008ABSTRACTMany problems in Natural Language Processing (NLP) involves anefficient search for the best derivation over (exponentially) manycandidates, especially in parsing and machine translation. In thesecases, theconcept of "packed forest" provides a compact representation of thehuge search spaces, where efficient inference algorithms based onDynamic Programming (DP) are possible.In this talk we address two important open problems within thisframework: exact k-best inference which is often used in NLPpipelines such as parse reranking and MT rescoring, and approximateinference when the search space is too big for exact search.We first present a series of fast and exact k-best algorithms onforests, which are orders of magnitudes faster than previously usedmethods on state-of-the-art parsers such as Collins (1999). We thenextend these algorithms for approximate search when the forests aretoo big for exact inference. We discuss two particular instances ofthis new method, forest rescoring for MT decoding with integratedlanguage models, and forest reranking for discriminative parsing. Inthe former, our methods perform orders of magnitudes faster thanconventional beam search on both state-of-the-art phrase-based andsyntax-based systems, with the same level of search error ortranslation quality. In the latter, faster search also leads tobetter learning, where our approximate decoding makes whole-Treebankdiscriminative training practical and results in the best accuracy todate for parsers trained on the Treebank.This talk includes joint work with David Chiang (USC InformationSciences Institute).Liang Huang (2008). Forest Reranking: Discriminative Parsing with Non-Local Features.Proceedings of ACL 2008 (to appear).http://www.cis.upenn.edu/~lhuang3/forest-rerank.pdfLiang Huang and David Chiang (2007). Forest Rescoring: FasterDecoding with Integrated Language Models.Proceedings of ACL 2007.http://www.cis.upenn.edu/~lhuang3/acl-cube.pdfLiang Huang and David Chiang (2005). Better k-best Parsing.Proceedings of IWPT 2005.http://www.cis.upenn.edu/~lhuang3/huang-iwpt-correct.pdfSpeaker: Liang HuangLiang Huang is a final-year PhD student at the University ofPennsylvania, co-supervised by Aravind Joshi and Kevin Knight (USC/ISI). He is mainly interested in the theoretical aspects ofcomputational linguistics, in particular, efficient algorithms inparsing and machine translation, generic dynamic programming, andformal properties of synchronous grammars. He also works on applyingcomputational linguistics to structural biology.
• Google I/O 2008 - Parsing and Generating KMLParsing and Generating KML with Google's KML LibraryMichael Ashbridge (Google)KML is a file format used to display geographic data in an earth browser, such as Google Earth, Google Maps and Google Maps for mobile. You can create KML files to pinpoint locations, add image overlays and expose rich data in new ways. This session will introduce Google's open source KML library for working with KML files. We'll explore its architecture and then show you how to parse and generate KML in your applications and scripts. Participants should have basic familiarity with KML.
• Incremental Bayesian Networks for Natural Language ParsingGoogle Tech TalksAugust 13, 2007ABSTRACTNatural language parsing is a particularly challenging structure prediction problem, due to the large space of output structures and the complex nature of the statistical dependencies between features of the output structures. Typically these statistical dependencies are specified by hand, but recently there has been interest in using latent variables to induce them automatically. In this talk I will present a framework for structure prediction with latent variables based on a form of Dynamic Bayesian Network called Incremental Sigmoid Belief Networks (ISBNs), and illustrate how it can be applied to parsing. Approximations to ISBNs have achieved...
• Movie/Script: Alignment and Parsing of Video and Text TranscriptionGoogle Tech TalksMarch, 26 2008ABSTRACTTimothee Cour - Research ScientistMovies and TV are a rich source of highly diverse and complex video of people, objects, actions and locales "in the wild". Harvesting automatically labeled sequences of actions from video would enable creation of large-scale and highly-varied datasets. To enable such collection, we focus on the task of recovering scene structure in movies and TV series for object/person tracking and action retrieval. We present a weakly supervised algorithm that uses the screenplay and closed captions to parse a movie into a hierarchy of shots and scenes. Scene boundaries in the movie are aligned with screenplay scene labels and shots are reordered into a sequence of long continuous tracks or threads which allow for more accurate tracking of people and actions across shot boundaries. Scene segmentation, alignment, and shot threading are formulated as inference in a unified generative model and a novel hierarchical dynamic programming algorithm that can handle alignment and jump-limited reorderings in linear time is introduced. We present quantitative and qualitative results on movie alignment and parsing, and use the recovered structure for tracking and naming of characters as well as retrieval of common actions in several episodes of popular TV series.If time permits we will also present our recent results on approximate inference with eigenvalue optimization.Speaker: Timothee Cour - Research ScientistTimothee Cour is a fifth year PhD student at the University of Pennsylvania, Philadelphia, in Computer Science. He completed his undergraduate education at the Ecole Polytechnique in France, majoring in Computer Science and Applied Mathematics. His research advisor is Prof. Ben Taskar and he also worked closely with Prof. Jianbo Shi.
• To RE or not to RE - parsing text in PythonPyCon 2008 Talk byAnna M Ravenscroft (Stanford University)Text parsing - breaking up text into smaller parts for processing - is a common task for programmers. Whether you're tokenizing a sentence for Part of Speech tagging in computational linguistics, automatically checking logs for specific errors, or doing Hidden Markov Models to output Emily Dickinson-style poems, chances are, at some point in your programming, you'll need to do text parsing.One of the most common methods of doing text parsing uses a specialized pattern-recognition language called regular expressions. Regular expressions (REs) can be intimidating to a new programmer; they may try to avoid REs at all costs. Others will turn to REs out of unfamiliarity with the wonders of Python native string manipulation. This talk will focus on the basics: * when and how can you use Python's native string methods, * when to consider REs, and * how to do simple text parsing.Slides available at http://us.pycon.org/2008/conference/schedule/event/63/
• The Politics of Parsing - Part 2A question from last week's Democratic debate returns -- along with double-speak from Senator Clinton. This clip comes from CNN's Situation Room on November 6, 2007.
• CS 61B Lecture 37: Expression ParsingCS 61B: Data Structures - Fall 2006Instructor Jonathan ShewchukFundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.http://www.cs.berkeley.edu
• JavaScript DOM XML parsinghttp://mhussein.freehostia.com/storage/codes/javascriptxmlparsing.txtThis is the source code for this example of parsing a simple XML file and displaying the node values in a web page.
• Parsing the Iran ChallengeRuprecht Polenz, a senior CDU Member of the Bundestag, is one of the most powerful German voices on his country's foreign policy and national security policy issues. He has been focused on what is real, what is not, and what policy contours America and Europe should take towards Iran for some time. In addition, his Foreign Affairs Committee determines, with the government and the full Bundestag, whether or not German forces will be deployed, so he is keenly interested in NATO operations in Kosovo and Afghanistan and will speak to these topics in his remarks.
• Java Tutorial 8 : Scanner, ParsingUsing the Scanner class to get user input from the command line and getting an integer out of a String.
• Parsing Parthenogenesis - B0B Springs ForeThe'dMeet B0B, who has been slowly self-syncretizing in our Shared Folder here in the Kiosk Under The Light At The End Of The Tunnel Out Of Internalized Eternal Empire.Hi, B0B! Happy Being.A nod to B0B's psuedoeponymous namesake, created by Mark Alan Stamaty, Washingtoon:"...the story of congressman Forehead, from his humble beginnings as a television salesman for glow-in-the-dark coat-hangers, to his election to congress with the support of Gerard Oxboggle, president of Glominoid Corporation."http://john.redmood.com/washingtoon.htmlPlayed by Tom Calloway in the 1985 TV movie/series:http://www.imdb.com/title/tt0294221/fullcredits#cast - Dark Imaginings (1986) TV episode .... Jack Turner"Remington Steele" .... Ted Warner (1 episode, 1986) - Suburban Steele (1986) TV episode (as Tom Callaway) .... Ted Warner"Washingtoon" (1985) TV series .... Senator Bob Forehead"Airwolf" .... Gary Wallace (1 episode, 1984)... aka Lobo del aire (USA: Spanish title) - Once a Hero (1984) TV episode .... Gary Wallace"V" .... Klaus (1 episode, 1984)... aka V: The Series - The Sanction (1984) TV episode (as Thomas V. Callaway) .... Klaus
• MS Internet Explorer XML Parsing Buffer Overflow Exploit
• Evasive, parsing Hillary campaign in trouble in IowaWhy are people surprised at Hillary Clinton's disastrous debate performance in Philadelphia? Hasn't anyone listened to her tortured and incredulous explanation for her Iraq War vote? Her equivacating at the debate in Philadelphia was just more of the same. The only difference was that Tim Russert forced her to explain her duplicity.
• MSNBC's Wisconsin Coverage - Parsing the Potential ResultsMore at http://www.MaddowFans.comMSNBC Political Analyst and Air America Radio host Rachel Maddow joins Norah O'Donnell, Pat Buchanan, and Eugene Robinson to parse the potential details of a Barack Obama win over Hillary Clinton in the Democratic primary in Wisconsin. Aired 2/19/08.
• Parsing the Panoptic Fugue... Preview Part 1www.geocities.com/fgwazda is my site to which you can go for more info.
• SLICK HILLARY PARSING LIKE THE WINDHillary parsing like the wind. Great new ad attack by none other than her fellow Democrats. YOu gotta love it.
• Re: The Politics of ParsingVideo Cam Direct Upload
• Hillary Clinton a Lesson in Parsing.Watch Hillary Clinton flip. David Gregory.
• Chris Cerf on NewsRap: Rumsfeld, Cheney, & Parsing WordsBarry Gordon talks with political satirist Christopher Cerf about the new book he has co-authored, "Mission Accomplished! Or How We Won the War in Iraq: The Experts Speak." The clip -- lampooning Rumsfeld, Cheney, and the rest of the Bush administration parsing words about the Iraq War -- is from Gordon's cable-access TV talk show "NewsRap"; the interview, from July 16, 2008, is shown in its entirety in http://www.NewsRapArchives.com
• The Politics of ParsingHillary Clinton responds with double-talk during the Democratic candidates debate on October 30, 2007http://www.myspace.com/artpage1
• Hillary Seeks Cheap Points on Anti-Semitism QuestionHillary Clinton tries to score cheap political points by claiming that "denouncing" anti-Semitism isn't as strong as "rejecting" it; Barack Obama responds that he both rejects and denounces it.
• parsing for www.reversedpalantir.org with messy bash scriptparsing for www.reversedpalantir.org with messy bash script
• SERIAL KILLERS: C.S.H.I.T., Ep. 1 (Parsing)Parsing grammar and cultural references down at the station.SERIAL KILLERS - Saturdays @ 11pm at Sacred Fools Theater Company in Los Angeles! Five plays enter... Three plays leave! For more details, visit our website:http://www.SacredFools.orgCurtis: Patrick RiegerSheppard: Mercedes ManningWritten & Directed by Sean Spann
• TSM - Racing-Index Parsing ToolA short video showing how to use the Racing-Index Parsing Tool as available at http://www.thestakingmachine.com/tipster.php in conjunction with the TSM software.Our continued thanks to http://www.racing-index.com for allowing us to use their data.The Staking Machine or TSM for short is a staking plan software application that is a bet tracker AND staking calculator rolled into one software application. Add some in-depth analysis and TSM becomes extremely powerful betting software that can be used to increase your betting profits.
• Noach: Parsing Tzadik Tamimvideoblog on parshat Noach - parsing the first pasuk
• Mac's PHP MVC Framework - Parsing Content ExampleMac's PHP MVC Framework - Parsing Content Example
• Obama parsing the meaning of no contactI had no contact with the governor or his office and so we were not, I was not aware of what was happening.
• Antoñito parsingel jipi aciendose el parsin en la teta xDD.

The Politics of Parsing

Hillary Clinton responds with double-talk during the Democratic candidates debate on October 30, 2007.

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