Class Meeting for 10-710 09-01-2011

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This is one of the class meetings on the schedule for the course Structured Prediction 10-710 in Fall 2011.

Contents

  • 1 Hidden Markov Models as Structured Prediction
  • 2 Required Readings
  • 3 Optional Readings
  • 4 Background Readings

Hidden Markov Models as Structured Prediction

  • Slides

Required Readings

  • Borkar 2001 Automatic Segmentation of Text Into Structured Records
  • Frietag 2000 Maximum Entropy Markov Models for Information Extraction and Segmentation

Optional Readings

  • An Algorithm that Learns What's in a Name, Bikel et al, MLJ 1999. Another well-engineered and influential HMM-based NER system.
  • Unsupervised Learning of Field Segmentation Models for Information Extraction, Grenager, Klein, and Manning, ACL 2005. Unsupervised segmentation paper.
  • Named Entity Recognition with Character-Level Models, Klein et al, CoNLL 2003. Interesting twist on the standard approach of token-tagging - NER by tagging characters and character n-grams.

Background Readings

  • A Maximum Entropy Part-Of-Speech Tagger, Ratnaparkhi, Workshop on Very Large Corpora 1996
  • Mike Collins on learning in NLP, including a section on maxent taggers.
  • Dan Klein on maxent.
Retrieved from "http://curtis.ml.cmu.edu/w/courses/index.php?title=Class_Meeting_for_10-710_09-01-2011&oldid=5600"

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