NB. M-x outline-mode NB. [N] = new stuff, [?] = needs discussion, maybe omit or merge NB. Section titles may have been changed, or inserted to make structure clearer. ------------------------------------------------------ * Some things you can do with NLP ** Examples NLP for linguistic research NLP for applications ** What do we mean by NLP? terminology: CL/HLT etc ** Audience and Goals [N] * The Language Challenge ** NL is rich and complex and difficult *** Language is integral to culture *** Language is intertwined in modern technology [?] [not quite clear what the message is here] ** How NLP can make a difference *** Information overload for ordinary people Text and multimedia on WWW QA example *** Information overload for professionals [N] biomedical example *** But NLP is still limited in what it can do * Overview of NLP ** One ideal: Intelligence and Turing Test example of spoken dialogue ** More realistic: not so intelligent NLP Other examples of NLP applications ** Brief history of NLP [this seems a bit tricky -- what needs to be included here? so far, it seems a bit arbitrary] *** Formal language theory --> computational syntax *** Formal logic --> automated inference *** Formal semantics and compositionality [?] [not really at the same level; maybe merge in with preceding chunk] *** Domain dependence e.g. semantic grammars *** Machine learning [N] ** Philosophical Perspective [maybe push this up a level?] *** Rationalism vs Empiricism schools of linguistics *** Realism vs Idealism [?] God's truth vs. hocus pocus [maybe drop this?\ * Architecture of Linguistic and NLP Systems ** Modularity Generative grammars [link back to formal language theory] ** Competence and Performance *** NLP aspects simple parsing example *** Cognitive aspects [N] human sentence processing -- say that it's out of scope *** Spoken Dialogue system language resources / static processing tools / dynamic * Outline of book [N]