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Mmr-based active machine learning for bio named entity recognition. In HLT/NAACL


  1. James Active Learning with Statistical Models – David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
  2. Marc A South African Case Study – Kato Ronald and Etienne Barnard, 2006
  3. Kevin Applied Statistical Decision Theory – Raiffa, H. and Schlaiffer, R, 1967.
  4. Peter Arabic Tokenization, POS Tagging and Morphological_Disambiguation – Nizar Habash, Owen Ranbow ACL 2005
  5. Peter Morphological Features Help POS Tagging of Unknown Words Across Language Varieites – Huihsin Tseng, Daniel Jurafsky, Christopher Manning ACL SIGHAN 2005
  6. Peter Arabic Part-of-speech Tagger – Shereen Khoja
  7. Peter Tagset Design and Inflected Languages – David Elworthy 1995


Part-of-Speech Tagging

  1. Probabilistic Models for Segmenting Labeling Sequence Data – John Lafferty, Andrew McCallum, Fernando Pereira

Active Learning

  1. Selective Sampling Using the Query by Committee Algorithm – Yoav Freund, H. Sebastian Seung, Eli Shamir Naftali Tishby
  2. Does Active Learning Help Automatic Dialog Act Tagging in Meeting Data” – Anand Venkataraman, Yang Liu, Elizabeth Shriberg, Andreas Stolcke
  3. Combining active and semi-supervised learning for spoken language understanding,” G. Tur, D. Tur, and R.E. Schapire, Speech Communication, vol. 45, pp. 171-186, 2005.
  4. “Mixed-Initiative Development of Language Processing Systems” – David Day, John Aberdeen, Lynette Hirschman, Robyn Kozierok, Patricia Robinson and Marc Vilain ://
  5. “Toward Optimal Active Learning through Sampling Estimation of Error Reduction” – Nichols Roy, Andrew McCallum
  6. “Active Learning for Statistical Natural Language Parsing” – Min Tang, Xiaoqiang Luo, Salim Roukos
  7. Query by Uncertainty. Lewis & Catleett, 1994
  8. Schohn & Cohn, 2000
  9. Pierce & Cardie, 2003
  10. G. Lucarelli and I. Androutsopoulos, “A Greek Named-Entity Recognizer that Uses Support Vector Machines and Active Learning”. In Proceedings of the 4th Hellenic Conference on Artificial Intelligence (SETN 2006), Heraklion, Greece, 2006.
  12. S. Tong and D. Koller. 2000. Support Vector Machine Active Learning with Applications to Text Classification. In Proc. of ICML, pp. 999-1006.
  13. A. McCallum and K. Nigam.1998. Employing EM and pool-based active learning for text classification. In Proc. of ICML.
  14. A Weakly Supervised Learning Approach for Spoken Language Understanding

Wei-Lin Wu, Ru-Zhan Lu, Jian-Yong Duan, Hui Liu, Feng Gao, Yu-Quan Chen. EMNLP 2006.

  1. Cohn, D. A., Ghahramani, Z., & Jordan, M. I. (1996). Active learning with statistical models. Journal of Artificial Intelligence Research, 4, 129–145.(“Statistically Optimal”)
  2. Whitehead, 1991 “Whitehead [Whi91] showed that random exploration in a deterministic world was yields a learning time that is exponential in the number of states. Thrun [Thr92] showed that directed exploration can learn in time that is polynomial in the number of states for deterministic environments.”
  3. Linden & Weber, 1993
  4. Schmidhuber \& Storch, 1993
  5. Query by Uncertainty or QBU (Thrun \& Moller, 1992)
  6. Theory of optimal experiments V.V. Fedorov 1972 Academic press
  7. On a measure of the information provided by an experiment', D.V.Lindley 1956 Ann. Math. Statist. 27, 986-1005


  1. Eric Active Learning for Natural Language Parsing Information Extraction – Cynthia A. Thompson, Mary Elaine Califf, Raymond J. Mooney
  2. James Selective Sampling In Natural Language Learning – Ido Dagan, Sean P. Engelson
  3. James Committee-Based Sample Selection for Probabilistic Classifiers – Shlomo Argamon-Engelson, Ido Dagan
  4. James Objective Functions and Algorithms – Brigham Anderson, Andrew Moore
  5. George Sequence Selection for Active Learning – Brigham Anderson, Sajid Siddiqi, Andrew Moore
  6. George Query by Committee – H. S. Seung, M. Opper, H. Sompolinsky
  7. Kevin Part-Of-Speech Tagging Using A Variable Memory Markov Model – Hinrich Schuetze, Yoram Singer
  8. Peter Improving Generalization With Active Learning – D A. Cohn, L. Atlas, R. Ladner
  9. Deryle Combining Linguistic Knowledge Statistical Learning in French Part-of-Spreech Tagging – Evelyne Tzoukermann, Dragomir R. Radev, William A. Gale
  10. Deryle A Memory-Based Approach to Learning Shallow Natural Language Patterns – Shlomo Argamon, Ido Dagan, Yuval Krymolowski
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nlp-private/bibliography.txt · Last modified: 2015/04/22 14:45 by ryancha
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