Bibliography for Information Extraction 10-707 in Fall 2009

Below is a bibliography of some of the papers we will cover in Information Extraction 10-707 in Fall 2009. This list is generated automatically using data from William's Zotero instance.

• The role of named entities in Web People Search, by J. Artiles, S. Madrid, E. Amigó, J. Gonzalo. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• Open information extraction from the web, by M. Banko, M. J Cafarella, S. Soderland, M. Broadhead, O. Etzioni. In Procs. of IJCAI, 2007.
• The tradeoffs between open and traditional relation extraction, by M. Banko, O. Etzioni, T. Center. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL-08), 2008.
• Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment, by K. Bellare, A. McCallum. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• A latent dirichlet model for unsupervised entity resolution, by I. Bhattacharya, L. Getoor. In SIAM International Conference on Data Mining, 2006.
• Automatic segmentation of text into structured records. By Vinayak Borkar, Kaustubh Deshmukh, Sunita Sarawagi. In SIGMOD Rec., vol. 30 (2), 2001.
• Exploiting diverse knowledge sources via maximum entropy in named entity recognition, by A. Borthwick, J. Sterling, E. Agichtein, R. Grishman. In Proceedings of the sixth workshop on very large corpora, 1998.
• Extracting patterns and relations from the world wide web. By S. Brin, {{{coauthors}}}. In {{{journal}}}, vol. {{{volume}}} ({{{issue}}}), 1999.
• A shortest path dependency kernel for relation extraction, by Razvan C Bunescu, Raymond J Mooney. In HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, 2005.
• Subsequence kernels for relation extraction, by R. Bunescu, R. Mooney. In Advances in Neural Information Processing Systems, 2006.
• Learning to extract relations from the web using minimal supervision, by R. Bunescu, R. Mooney. In ANNUAL MEETING-ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 2007.
• Coupling semi-supervised learning of categories and relations, by A. Carlson, J. Betteridge, E. R Hruschka Jr, R. Wang, T. M. Mithcell. In NAACL HLT Workshop on Semi-supervised Learning for Natural Language Processing, 2009.
• WHIRL: a word-based information representation language. By William W Cohen, {{{coauthors}}}. In Artif. Intell., vol. 118 (1-2), 2000.
• Stacked sequential learning, by William W. Cohen, Vitor Carvalho. In International Joint Conference on Artificial Intelligence, 2005.
• Hardening soft information sources, by William W Cohen, Henry Kautz, David McAllester. In KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000.
• A comparison of string distance metrics for name-matching tasks, by W. W Cohen, P. Ravikumar, S. E Fienberg. In Proceedings of the IJCAI-2003 Workshop on Information Integration on the Web (IIWeb-03), 2003.
• Semantic role labelling with tree conditional random fields, by T. Cohn, P. Blunsom. In Ninth Conference on Computational Natural Language Learning, 2005.
• Gradient Tree Boosting for Training Conditional Random Fields. By T. G Dietterich, G. Hao, A. Ashenfelter. In Journal of Machine Learning Research, vol. 9 ({{{issue}}}), 2008.
• Methods for domain-independent information extraction from the web: An experimental comparison, by O. Etzioni, M. Cafarella, D. Downey, A. M Popescu, T. Shaked, S. Soderland, D. S Weld, A. Yates. In Proceedings of the national conference on artificial intelligence, 2004.
• Unsupervised Named-Entity Extraction from the Web: An Experimental Study. By O. Etzioni, M. Cafarella, D. Downey, A. M Popescu, T. Shaked, S. Soderland, D. S Weld, A. Yates. In Artif. Intell., vol. {{{volume}}} ({{{issue}}}), 2005.
• Nested Named Entity Recognition, by J. R Finkel, C. D Manning. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• Exponentiated gradient algorithms for log-linear structured prediction, by A. Globerson, T. Y Koo, X. Carreras, M. Collins. In Proceedings of the 24th international conference on Machine learning, 2007.
• Text joins in an RDBMS for web data integration, by Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas, Divesh Srivastava. In Proceedings of the 12th international conference on World Wide Web, 2003.
• Amplifying community content creation with mixed initiative information extraction, by Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld. In Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009.
• Toward Completeness in Concept Extraction and Classification, by E. Hovy, Z. Kozareva, E. Riloff. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• Information extraction from voicemail transcripts, by M. Jansche, S. P Abney. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, 2002.
• Semi-supervised CRFs for Improved Sequence Segmentations and Labeling, by F Jiao, S Wang, C. Lee, R Greiner, DD Schuurmans. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the ACL, 2006.
• Conditional structure versus conditional estimation in NLP models, by D. Klein, C. D Manning. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, 2002.
• Conditional structure versus conditional estimation in NLP models, by D. Klein, C. D Manning. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, 2002.
• Extracting semantic networks from text via relational clustering, by S. Kok, P. Domingos. In Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases-Part I, 2008.
• Structured prediction models via the matrix-tree theorem, by T. Koo, A. Globerson, X. Carreras, M. Collins. In Proc. EMNLP, 2007.
• Stacked Graphical Learning for Efficient Inference in Markov Random Fields, by Z. Kou, W. W Cohen. In {{{booktitle}}}, 2007.
• An effective two-stage model for exploiting non-local dependencies in named entity recognition, by Vijay Krishnan, Christopher D Manning. In ACL-44: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, 2006.
• Hidden Markov models for labeled sequences. By A Krough, {{{coauthors}}}. In Pattern Recognition, vol. 2 ({{{issue}}}), 1994.
• Conditional random fields: Probabilistic models for segmenting and labeling sequence data, by J. Lafferty, A. McCallum, F. Pereira. In Proc. of ICML, 2001.
• Kernel conditional random fields: representation and clique selection, by J. Lafferty, X. Zhu, Y. Liu. In Proceedings of the twenty-first international conference on Machine learning, 2004.
• Robust reading: Identification and tracing of ambiguous names, by X. Li, P. Morie, D. Roth. In Proc. of NAACL, 2004.
• Phrase clustering for discriminative learning, by D. Lin, X. Wu. In Proceedings of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2009.
• Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons, by A. McCallum, W. Li. In Seventh Conference on Natural Language Learning (CoNLL), 2003.
• Maximum Entropy Markov Models for Information Extraction and Segmentation, by Andrew McCallum, Dayne Freitag, Fernando C. N Pereira. In ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning, 2000.
• Reducing Semantic Drift with Bagging and Distributional Similarity, by T. McIntosh, J. R Curran. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2009.
• A Random Walks View of Spectral Segmentation, by Marina Meila, Jianbo Shi. In {{{booktitle}}}, 2001.
• A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora, by M. Miwa, R. S\aetre, Y. Miyao, J. Tsujii. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• Robust Similarity Measures for Named Entities Matching, by E. Moreau, F. Yvon, O. Cappe. In Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), 2008.
• Updating a Name Tagger Using Contemporary Unlabeled Data, by C. Mota, R. Grishman. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, 2009.
• Web-scale distributional similarity and entity set expansion. By P. Pantel, E. Crestan, A. Borkovsky, A. M Popescu, V. Vyas. In Proceedings of EMNLP-09, Singapore, vol. {{{volume}}} ({{{issue}}}), 2009.
• Weakly-supervised discovery of named entities using web search queries, by M. Pasca, {{{coauthors}}}. In CIKM '07, 2007.
• Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies, by M. Pasca, {{{coauthors}}}. In Proceedings of the 12th Conference of the European Chapter of the ACL, 2009.
• A Unified Model of Phrasal and Sentential Evidence for Information Extraction, by S. Patwardhan, E. Riloff. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing,, 2009.
• Entity Extraction via Ensemble Semantics, by M. Pennacchiotti, P. Pantel. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• Table extraction using conditional random fields, by D. Pinto, A. McCallum, X. Wei, W. B Croft. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, 2003.
• Joint inference in information extraction, by H. Poon, P. Domingos. In PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2007.
• Multi-scale Stacked Sequential Learning. By O. Pujol, E. Puertas, C. Gatta. In Multiple Classifier Systems, 2009.
• Using structured text for large-scale attribute extraction, by S. Ravi, M. PaÅŸca. In Proc CIKM 2008, 2008.
• Scaling textual inference to the Web, by S. Schoenmackers, O. Etzioni, D. S Weld, T. Center. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008.
• Shallow parsing with conditional random fields, by F. Sha, F. Pereira. In Proceedings of HLT-NAACL, 2003.
• Collective segmentation and labeling of distant entities in information extraction, by C. Sutton, A. McCallum. In ICML workshop on Statistical Relational Learning, 2004.
• A context pattern induction method for named entity extraction, by P. P Talukdar, T. Brants, M. L.F Pereira. In Tenth Conference on Computational Natural Language Learning, 2006.
• Semi-Supervised Active Learning for Sequence Labeling, by K. Tomanek, U. Hahn. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the ACL, 2009.
• Expanding the recall of relation extraction by bootstrapping, by J. Tomita, S. S.O Etzioni. In Adaptive Text Extraction and Mining (ATEM 2006), 2006.
• Classifying Relations for Biomedical Named Entity Disambiguation, by Xinglong Wang, {{{coauthors}}}. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009.
• Language-independent set expansion of named entities using the web, by R. C Wang, W. W Cohen. In IEEE International Conference on Data Mining (ICDM), 2007.
• Iterative set expansion of named entities using the web, by R. C Wang, W. W Cohen. In Proceedings of 8th IEEE International Conference on Data Mining, 2008.
• Automatic Set Instance Extraction using the Web, by R. C Wang, W. W Cohen. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, 2009.
• Autonomously semantifying wikipedia, by Fei Wu, Daniel S. Weld. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 2007.
• Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web, by Y. Yan, N. Okazaki, Y. Matsuo, Z. Yang, M. Ishizuka. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, 2009.
• Jointly Identifying Temporal Relations with Markov Logic, by K. Yoshikawa, J. NAIST, S. Riedel, M. Asahara, Y. Matsumoto. In Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, 2009.
• Exploring syntactic features for relation extraction using a convolution tree kernel, by Min Zhang, Jie Zhang, Jian Su. In Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006.
• Corroborate and learn facts from the web, by Shubin Zhao, Jonathan Betz. In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, 2007.