Difference between revisions of "Class meeting for 10-605 Phrase Finding"
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=== Slides === | === Slides === | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-605/workflow-4-and-phrases.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/workflow-4-and-phrases.pdf Slides in Powerpoint]. The slides also cover Spark and other map-reduce languages. | + | * [http://www.cs.cmu.edu/~wcohen/10-605/2016/workflow-4-and-phrases.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/2016/workflow-4-and-phrases.pdf Slides in Powerpoint]. The slides also cover Spark and other map-reduce languages. |
=== Quiz === | === Quiz === | ||
Latest revision as of 16:38, 1 August 2017
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall 2016.
Contents
Slides
- Slides in Powerpoint, Slides in Powerpoint. The slides also cover Spark and other map-reduce languages.
Quiz
Sample Code
- A tarball with code for phrase-finding in PIG.
- Some sample data for this is on HDFS on opencloud under /user/wcohen/phrases/data
Readings for the Class
- A Language Model Approach to Keyphrase Extraction, Takashi Tomokiyo and Matthew Hurst, MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment.
Also discussed
- Locating complex named entities in web text, Downey et al, IJCAI 2007.
- Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews, Turney, ACL 2002
- Answering subcognitive Turing Test questions: A reply to French, Turney, Journal of Experimental and Theoretical Artificial Intelligence, 13 (4), 409-419.
Things to Remember
- The request-and-answer pattern
- BLRT and pointwise KL-divergence statistics
