Stanford InfoLab Publication Server

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Number of items: 9.

Chavira, Mark and Wong, Dik Kin and Manning, Christopher (2001) Applying Hierarchical Classification Techniques Without A Hierarchy. Technical Report. Stanford.

Toutanova, Kristina and Manning, Christopher (2000) Enriching the Knowledge Sources used in a Maximum Entropy Part-of-Speech tagger. In: Joint SIGDAT Conference on Empirical Methods in NLP and Very Large Corpora (EMNLP/VLC-2000) , October 7-8, 2000 , Hong Kong.

Kamvar, Sepandar and Haveliwala, Taher and Manning, Christopher and Golub, Gene (2003) Exploiting the Block Structure of the Web for Computing PageRank. Technical Report. Stanford.

Toutanova, Kristina and Ilhan, H. Tolga and Manning, Christopher (2002) Extensions to HMM-based Statistical Word Alignment Models. In: 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP 2002), July 6-7, 2002, Philadelphia, PA.

Toutanova, Kristina and Manning, Christopher (2002) Feature Selection for a Rich HPSG Grammar Using Decision Trees. In: Sixth Conference on Natural Language Learning (CoNLL-2002), August 31 - September 1, 2002 , Taipei, Taiwan.

Toutanova, Kristina and Klein, Dan and Manning, Christopher and Singer, Yoram (2003) Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In: Human Language Technology Conference (HLT-NAACL 2003), May 27 - June 1, 2003, Edmonton, Canada.

Toutanova, Kristina and Mitchell, Mark and Manning, Christopher (2003) Optimizing Local Probability Models for Statistical Parsing. In: 14th European Conference on Machine Learning, (ECML 2003), September 22-26, 2003, Dubrovnik, Croatia.

Toutanova, Kristina and Manning, Christopher and Shieber, Stuart and Flickinger, Dan and Oepen, Stephan (2002) Parse Disambiguation for a Rich HPSG Grammar. Technical Report. Stanford InfoLab. (Publication Note: First Workshop on Treebanks and Linguistic Theories (TLT2002), September 20-21, 2002, Sozopol, Bulgaria)

Andrew, Galen and Grenager, Trond and Manning, Christopher (2004) Verb Sense and Subcategorization: Using Joint Inference to Improve Performance on Complementary Tasks. Technical Report. Stanford InfoLab.

This list was generated on Tue Sep 26 00:46:30 2017 PDT.