PPT-Syntactic Ambiguity

CSCIGA2590 Lecture 3B Ralph Grishman NYU Partofspeech Ambiguity Many English words have 2 or more parts of speech the last fast train speeds up station schedules produces lots of structures during parsing. Ambiguity . is a word, phrase, or statement which contains more than one meaning.. Ambiguous words or statements lead to vagueness and confusion, and shape the basis for instances of unintentional humor. Kristopher Kyle. 3-5-2015. Who is this guy?. Interested in:. L2 Writing Quality/Development. Assessment. Natural Language Processing. Productive Vocabulary. Productive Syntax. Outline of Workshop. Why measure linguistic complexity?. Daniel Zeman. http://. ufal. .mff.cuni.cz/course/npfl094. 9.12.1999. http://ufal.mff.cuni.cz/course/npfl094. 2. Level of (Surface) Syntax. Relations between sentence parts. Sentence part = token (word, number, punctuation). Fly fishing – This man embraced ambiguity because it was hard, and he didn't know if he could do it. He embraced ambiguity and he succeeded. . Embracing Ambiguity. I . embraced ambiguity when I went to a Lobo Basketball Camp and I had to walk up and down the pit stairs. I felt really uncomfortable when I was walking up and down the pit stairs because I thought I was going to miss the drill that was already going on. I embraced ambiguity because I kept trying and trying. . Types of Linguistic Theories. Prescriptive. : “prescriptive linguistics” is an oxymoron. Prescriptive grammar: . how people ought to talk. Descriptive. : provide account of syntax of a language. Descriptive grammar. Entrepreneurship 1. 2.12. Objective 2.12. Tolerance - . The capacity to accept deviation from the norm. Ambiguity – words or phrases with either a double meaning. Self-Confidence - A positive belief in your own talents, skills, and objectives. . Understand techniques, strategies, & systems used to foster self-understanding & enhance relationships with others. What is Tolerance?. Tolerance – the capacity to accept deviation from the norm. Feature or Bug?. Oliver R. Goodenough. Vermont Law School & CodeX. Future Law, Stanford Law. April 5, 2018. Will Computational Law Lack . Sufficient Ambiguity?. This is often put forward as an objection to automating legal processes. : . Discovering latent . structure . with . supervised. . learning. Dingquan Wang. and Jason Eisner. 1. Grammar Induction is Broken!. This work tries to fix it!. Starting with syntactic . typology . LI 2013 Nathalie F. Martin Lexical Categories Categories of words Distinguishing categories: Meaning Inflection Distribution Syntactic Categories Contemporary Linguistics Analysis : p. 146-150. Dr. Alexander Panchenko. Language Technology Group -- TU Darmstadt. panchenko@lt.informatik.tu-darmstadt.de. Agenda. . Task. Method. Evaluation. Results. Based on participation in SemEval 2016. “Taxonomy Extraction Evaluation” Task. Guillermo . Garrido. and . Anselmo. . Peñas. NLP & IR Group at UNED. Madrid, Spain. {. ggarrido,anselmo. }@. lsi.uned.es. Shared. . Task. . System. . Description. ACL-HLT 2011 . Workshop. . UN SYSTEME SYNTAXIQUE ET SEMANT|QUE INTEGRE POUR LA COMPREHENSION DU LANGAGE NATUREL Fr&l~rique SEGOND(I) et Karen JENSEN(2) (l)Institut National des T616communications (Evry, France); email: segond the Department set of this grammar the grammar in which very powerful of movinga new AcknowledgmentsI am very grateful to the many people who have influenced this research and madethis thesis possible