Semi-supervised Learning in NLP

From ACL Wiki
Jump to navigation Jump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Semi-supervised Learning for NLP Bibliography

The goal of this page is to collect all papers focusing on semi-supervised learning for natural language processing. Another good starting point for papers (divided by topic) is John Blitzer and Jerry Zhu's ACL 2008 tutorial website.

2009

Note: Papers in NAACL Semi-supervised learning for NLP Workshop are pre-linked but the actual pdf's don't exist on ACL anthology yet. --KevinDuh 21:15, 29 April 2009 (UTC)

Carlson, A., Betteridge, J., Hruschka Junior, E.R. & Mitchell, T.M. (2009), "Coupling Semi-Supervised Learning of Categories and Relations", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 1-9. Association for Computational Linguistics.

Veeramachaneni, S. & Kondadadi, R.K. (2009), "Surrogate Learning - From Feature Independence to Semi-Supervised Classification", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 10-18. Association for Computational Linguistics.

Goldberg, A.B. & Zhu, X. (2009), "Keepin' It Real: Semi-Supervised Learning with Realistic Tuning", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 19-27. Association for Computational Linguistics.

Zubiaga, A., Fresno, V. & Martínez, R. (2009), "Is Unlabeled Data Suitable for Multiclass SVM-based Web Page Classification?", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 28-36. Association for Computational Linguistics.

Plank, B. (2009), "A Comparison of Structural Correspondence Learning and Self-training for Discriminative Parse Selection", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 37-42. Association for Computational Linguistics.

Andrzejewski, D. & Zhu, X. (2009), "Latent Dirichlet Allocation with Topic-in-Set Knowledge", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 43-48. Association for Computational Linguistics.

Poveda, J., Surdeanu, M. & Turmo, J. (2009), "An Analysis of Bootstrapping for the Recognition of Temporal Expressions", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 49-57. Association for Computational Linguistics.

Liao, W. & Veeramachaneni, S. (2009), "A Simple Semi-supervised Algorithm For Named Entity Recognition", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 58-65. Association for Computational Linguistics.

Chen, Z. & Ji, H. (2009), "Can One Language Bootstrap the Other: A Case Study on Event Extraction", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 66-74. Association for Computational Linguistics.

Huang, J.-T. & Hasegawa-Johnson, M. (2009), "On Semi-Supervised Learning of Gaussian Mixture Models for Phonetic Classification", In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 75-83. Association for Computational Linguistics.

Dasgupta, S. & Ng, V. (2009), "Discriminative Models for Semi-Supervised Natural Language Learning", Invited Position Paper, In Proceedings of the NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing. Boulder, Colorado, USA. June 2009., pp. 84-85. Association for Computational Linguistics.

2008

2007