Difference between revisions of "Class Meeting for 10-710 09-01-2011"

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=== Optional Readings ===
 
=== Optional Readings ===
  
* [http://www.cs.cmu.edu/~wcohen/10-707/papers/bikel.pdf An Algorithm that Learns What's in a Name, Bikel ''et al'', MLJ 1999].  Another well-engineered and influential HMM-based NER system.
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* [http://www.cs.cmu.edu/~wcohen/10-707/papers/bikel.pdf An Algorithm that Learns What's in a Name, Bikel ''et al'', MLJ 1999]. ([[Paper::Bikel et al MLJ 1999|Wiki]]) Another well-engineered and influential HMM-based NER system.
 
* [http://www.stanford.edu/~grenager/papers/unsupie_final.ps Unsupervised Learning of Field Segmentation Models for Information Extraction, Grenager, Klein, and Manning, ACL 2005].  Unsupervised segmentation paper.
 
* [http://www.stanford.edu/~grenager/papers/unsupie_final.ps Unsupervised Learning of Field Segmentation Models for Information Extraction, Grenager, Klein, and Manning, ACL 2005].  Unsupervised segmentation paper.
 
* [http://www-nlp.stanford.edu/~manning/papers/conll-ner.pdf 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.
 
* [http://www-nlp.stanford.edu/~manning/papers/conll-ner.pdf 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.

Latest revision as of 00:17, 28 September 2011

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

Hidden Markov Models as Structured Prediction

Required Readings

Optional Readings

Background Readings