PPT-NLP Introduction to NLP
Author : phoebe-click | Published Date : 2016-09-04
Semantic Role Labeling Syntactic Variation Last week Min broke the window with a hammer The window was broken with a hammer by Min last week With a hammer Min broke
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NLP Introduction to NLP: Transcript
Semantic Role Labeling Syntactic Variation Last week Min broke the window with a hammer The window was broken with a hammer by Min last week With a hammer Min broke the window last week Last week the window was broken by Min with a hammer. Christopher Manning. Stanford University. Digital Humanities 2011. http://nlp.stanford.edu/~manning/courses/DigitalHumanities. /. . Commencement 2010. My humanities qualifications. B.A. (. Hons. ), Australian National University. John Blitzer. 自然语言计算组. http://research.microsoft.com/asia/group/nlc/. Why should I know about machine learning? . This is an NLP summer school. Why should I care about machine learning?. Detecting Questions in Micro-text. Kyle Dent <. kdent@parc.com. >. Original Question: Do people use Twitter to ask questions?. First Answer: Of course.. But to what extent and what kinds of questions?. Outline. Some Sample NLP Task . [Noah Smith]. Structured Prediction For NLP. Structured Prediction Methods. Conditional Random Fields. Structured . Perceptron. Discussion. Motivating Structured-Output Prediction for NLP. Regina Barzilay. What is NLP?. Goal: intelligent processing of human language. Not just effective string matching. Applications of NLP technology:. Less ambitious (but practical goals): spelling corrections, name entity extraction. Class Logistics. Quiz. Where is this quote from?. Dave Bowman. : Open the pod bay doors, HAL.. HAL. : I’m sorry Dave. I’m afraid I can’t do that.. Quiz Answer. “2001: A Space Odyssey” . 1968 film by Stanley Kubrick . In the Context of the ETC Project. SAW Intro. Wiki. Users collaboratively develop and organize content. Information Analysis is up to the user. Goal: . “Self-aware wiki that can develop and organize its content. alebo prečo . som mal dávať väčší pozor na . slovenčine. Róbert . Móro. 26. .. 2. .201. 3. moro. @. fiit. .. stuba.sk. I made her duck.. I made her duck.. Uvaril (upiekol) som jej kačku.. Uvaril som kačku, ktorá jej patrí.. Properties of Propositional Logic. Pros. Compositional. Declarative. Cons. Limited expressive power. Represents facts. First Order Logic. Used to represent. Objects – Martin the cat. Relations – Martin and Moses are brothers. 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. S . -> NP VP. NP -> DT N | NP PP. PP -> PRP NP. VP -> V NP | VP PP. DT -> 'a' | 'the'. N -> 'child' | 'cake' | 'fork'. PRP -> 'with' | 'to'. 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. -. Kasami. -Younger (CKY) Parsing. Notes on Left Recursion. Problematic for many parsing methods. Infinite loops when expanding. But appropriate linguistically. NP -> DT N. NP -> PN. DT -> NP ‘s. 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.
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