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Welcome to CIS 530

What NLP applications have you seen?. Given the early hour, it will be good to start with some informal discussion before getting to the administrative stuff. . Automatic dialog systemsLanguage understandingLanguage generationSpeech synthesis/recognitionCoordinating dialogCar systems and naviga

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Welcome to CIS 530

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    1. Welcome to CIS 530 Introduction to natural language processing

    2. What NLP applications have you seen? Given the early hour, it will be good to start with some informal discussion before getting to the administrative stuff

    3. Automatic dialog systems Language understanding Language generation Speech synthesis/recognition Coordinating dialog Car systems and navigation Automatic translation Let's try it out! by reading some news

    4. Other applications? Information at our fingertips, most in text form

    5. Ready for administrative info? Class meets Tues and Thur, 9am, Levine 307 Staff Instructor: Ani Nenkova OH: Thu, 10:30 to 11:30, Levine 505 or email for appointment Teaching assistant: Varun Aggarwala Thursdays at 5 if this is a good time for you Teaching assistant for project: Annie Louis Email for appointment when you get started on the project Class webpage

    6. Textbooks Jurafsky & Martin,SPEECH and LANGUAGE PROCESSING: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 2nd edition (MAIN text) Chris Manning & Hinrich Shutze, Foundations of Statistical Natural Language Processing, MIT Press, 1999. (available online from the Penn campus) Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python, Available online from the NLTK site .Various supplementary readings.

    7. Grade 4 Homeworks: 60% Class project: 40% No exams! Can work in pairs for both homeworks and the project But write-ups will be individual The quality of the write-up will be part of the grade

    8. The project Many students at Penn are interested in applications of NLP to finance I have listed some papers on the course website---check them out! The goal of this class is to teach you enough NLP so that you can understand these papers, and apply any of the methods or tools that you learn about for your own needs

    9. The project For the project you will have to define a task within some constraints Do the work Write a report

    10. Data New York Times articles Three domains Finance Science Health

    11. Project: general outline Finance Flesh out specific type of task that may be helpful in financial analysis Health Causal relations and other dependencies Science Analyzing how journalists talk about science. What is an interesting story?

    12. Project timeline One Page proposal : Oct 15th Intitial Report (2 to 4) pages : Nov 20th Project Presentation : Last week of classes Final Report : Dec 15th

    13. Language Homeworks will be in Pyton Lots of help and hints to get you started. Intro: Tuesday, September 14th from 4PM to 5:30 PM. Moore 207 unix lab. For the project you can use any language you feel comfortable with

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