Design challenges and misconceptions in named entity recognition (2009)

by Lev Ratinov , Dan Roth
Venue:PROCEEDINGS OF THE THIRTEENTH CONFERENCE ON COMPUTATIONAL NATURAL LANGUAGE LEARNING (CONLL)
Citations:59 - 4 self

Active Bibliography

CoNLL ’09 Design Challenges and Misconceptions in Named Entity Recognition – Lev Ratinov, Dan Roth
2 Cross-Domain Bootstrapping for Named Entity Recognition – Ang Sun, Ralph Grishman
40 Natural language processing (almost) from scratch. arXiv:1103.0398v1 – Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa, Michael Collins - 2011
Inference with Classifiers: A STUDY OF STRUCTURED OUTPUT PROBLEMS IN NATURAL LANGUAGE PROCESSING – Vasin Punyakanok - 2005
18 Semi-supervised learning for natural language – Percy Liang - 2005
Examiner Examiner Guide – Prof Sunita Sarawagi, Rahul Gupta, Place Declaration
Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors – Tomoya Iwakura, Seishi Okamoto
Learning Representations for Weakly Supervised Natural Language Processing Tasks – Fei Huang, Doug Downey, Arun Ahuja, Yi Yang, Yuhong Guo, Er Yates
iii Acknowledgements – Ang Sun, Heng Ji, Ernest Davis, Lakshminarayanan Subramanian, The Proteus Group - 2012
18 A Context Pattern Induction Method for Named Entity Extraction – Partha Pratim Talukdar, Thorsten Brants - 2006
1 Learning for collective information extraction – Razvan C. Bunescu - 2004
Proceedings of the 9th Conference on Computational Natural Language Learning (CoNLL), – Pages Ann Arbor, Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang - 2005
Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
INTERACTIVE LEARNING PROTOCOLS FOR NATURAL LANGUAGE APPLICATIONS – Kevin Small - 2009
Thèse de doctorat de – Télécom Paristech, Spécialité Informatique Et Reseaux, Nataliya Sokolovska, Thierry Artières, Francis Bach, Yves Grandvalet, Marc Tommasi, François Yvon - 2010
35 Exploiting Wikipedia as External Knowledge for Named Entity Recognition – Kentaro Torisawa
www.elsevier.com/locate/pr Robust and efficient multiclass SVM models for phrase pattern recognition – Yu-chieh Wu A, Yue-shi Lee B, Jie-chi Yang C
56 Word representations: A simple and general method for semisupervised learning – Joseph Turian, Département D’informatique Et, Recherche Opérationnelle (diro, Université De Montréal, Lev Ratinov, Yoshua Bengio - 2010
10 Semi-Supervised Named Entity Recognition: Learning to Recognize 100 Entity Types with Little Supervision – David Nadeau