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slide 1 600.465 - intro to nlp - j. eisner1 nlp tasks and applications slide 2 the nlp research community papers acl anthology has nearly everything, free! acl anthology…
grouping words 600.465 - intro to nlp - j. eisner linguistic objects in this course trees (with strings at the nodes) syntax, semantics algorithms: generation, parsing, inside-outside,…
600.465 - intro to nlp - j. eisner * bayes’ theorem 600.465 - intro to nlp - j. eisner 600.465 – intro to nlp – j. eisner * remember language id? let p(x) = probability…
parsing tricks 600.465 - intro to nlp - j. eisner left-corner parsing technique for 1 word of lookahead in algorithms like earley’s (can also do multi-word lookahead but…
slide 1600.465 - intro to nlp - j. eisner1 finite-state methods slide 2 600.465 - intro to nlp - j. eisner2 finite state acceptors (fsas) things you may know about…
words vs. terms 600.465 - intro to nlp - j. eisner words vs. terms information retrieval cares about “terms” you search for ’em, google indexes ’em query: what kind…
slide 1600.465 - intro to nlp - j. eisner1 learning to translate slide 2 600.465 - intro to nlp - j. eisner2 source: global reach (www.glreach.com) (native speakers) slide…
600.465 - intro to nlp - j. eisner * building finite-state machines 600.465 - intro to nlp - j. eisner todo why is it called closure? what is a closed set? examples: closure…
600.465 - intro to nlp - j. eisner * (conditional) log-linear modeling 600.465 - intro to nlp - j. eisner 600.465 - intro to nlp - j. eisner * probability is useful we love…
the maximum-entropy stewpot 600.465 - intro to nlp - j. eisner probability is useful we love probability distributions! we’ve learned how to define & use p(…) functions.…
slide 1600.465 - intro to nlp - j. eisner1 current & future nlp research a few random remarks slide 2 600.465 - intro to nlp - j. eisner2 computational linguistics …
slide 1600.465 - intro to nlp - j. eisner1 finite-state programming some examples slide 2 600.465 - intro to nlp - j. eisner2 finite-state programming slide 3 600.465 - intro…
slide 1600.465 - intro to nlp - j. eisner1 semantics from syntax to meaning! slide 2 600.465 - intro to nlp - j. eisner2 programming language interpreter what is meaning…
slide 1600.465 - intro to nlp - j. eisner1 splitting words a.k.a. “word sense disambiguation” slide 2 slide courtesy of d. yarowsky slide 3 slide 4 slide 5 slide 6 slide…
slide 1 600.465 - intro to nlp - j. eisner1 syntactic features morphology, heads, gaps, etc. slide 2 600.465 - intro to nlp - j. eisner2 3 views of a context-free rule …
600.465 - intro to nlp - j. eisner * modeling grammaticality [mostly a blackboard lecture] 600.465 - intro to nlp - j. eisner 600.465 - intro to nlp - j. eisner * word trigrams:…
slide 1600.465 - intro to nlp - j. eisner1 learning in the limit golds theorem slide 2 600.465 - intro to nlp - j. eisner2 observe some values of a function slide 3 600.465…
600.465 - intro to nlp - j. eisner * finite-state and the noisy channel 600.465 - intro to nlp - j. eisner 600.465 - intro to nlp - j. eisner * word segmentation what does…
slide 1 600.465 - intro to nlp - j. eisner1 the expectation maximization (em) algorithm … continued! slide 2 600.465 - intro to nlp - j. eisner2 repeat until convergence!…
slide 1 600.465 - intro to nlp - j. eisner1 hidden markov models and the forward-backward algorithm slide 2 600.465 - intro to nlp - j. eisner2 please see the spreadsheet…