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Dan Roth: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
    MPE and Partial Inversion in Lifted Probabilistic Variable Elimination. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons
    An Inference Model for Semantic Entailment in Natural Language. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:1043-1049 [Conf]
  3. Roni Khardon, Dan Roth
    Learning to Reason. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:682-687 [Conf]
  4. Roni Khardon, Dan Roth
    Reasoning with Models. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:1148-1153 [Conf]
  5. Xin Li, Paul Morie, Dan Roth
    Identification and Tracing of Ambiguous Names: Discriminative and Generative Approaches. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:419-424 [Conf]
  6. Dan Roth
    A Connectionist Framework for Reasoning: Reasoning with Examples. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1256-1261 [Conf]
  7. Dan Roth
    Learning to Resolve Natural Language Ambiguities: A Unified Approach. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:806-813 [Conf]
  8. Dan Roth, Dmitry Zelenko
    Toward a Theory of Learning Coherent Concepts. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:639-644 [Conf]
  9. Ming-Wei Chang, Quang Do, Dan Roth
    A Pipeline Framework for Dependency Parsing. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  10. Alexandre Klementiev, Dan Roth
    Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. [Citation Graph (0, 0)][DBLP]
    ACL, 2006, pp:- [Conf]
  11. Dan Roth, Dmitry Zelenko
    Part of Speech Tagging Using a Network of Linear Separators. [Citation Graph (0, 0)][DBLP]
    COLING-ACL, 1998, pp:1136-1142 [Conf]
  12. Ashutosh Garg, Dan Roth
    Learning Coherent Concepts. [Citation Graph (0, 0)][DBLP]
    ALT, 2001, pp:135-150 [Conf]
  13. Sariel Har-Peled, Dan Roth, Dav Zimak
    Constraint Classification: A New Approach to Multiclass Classification. [Citation Graph (0, 0)][DBLP]
    ALT, 2002, pp:365-379 [Conf]
  14. Yair Even-Zohar, Dan Roth
    A Classification Approach to Word Prediction. [Citation Graph (0, 0)][DBLP]
    ANLP, 2000, pp:124-131 [Conf]
  15. Karen L. Daniels, Victor Milenkovic, Dan Roth
    Finding the Maximum Area Axis-parallel Rectangle in a Polygon. [Citation Graph (0, 0)][DBLP]
    CCCG, 1993, pp:322-327 [Conf]
  16. Xin Li, Dan Roth
    Learning Question Classifiers. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  17. Dan Roth, Wen-tau Yih
    Probabilistic Reasoning for Entity & Relation Recognition. [Citation Graph (0, 0)][DBLP]
    COLING, 2002, pp:- [Conf]
  18. Erik F. Tjong Kim Sang, Walter Daelemans, Hervé Déjean, Rob Koeling, Yuval Krymolowski, Vasin Punyakanok, Dan Roth
    Applying System Combination to Base Noun Phrase Identification. [Citation Graph (0, 0)][DBLP]
    COLING, 2000, pp:857-863 [Conf]
  19. Shivani Agarwal, Dan Roth
    Learnability of Bipartite Ranking Functions. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:16-31 [Conf]
  20. Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
    On Learning Read-k-Satisfy-j DNF. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:110-117 [Conf]
  21. Roni Khardon, Dan Roth
    Learning to Reason with a Restricted View. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:301-310 [Conf]
  22. Eyal Kushilevitz, Dan Roth
    On Learning Visual Concepts and DNF Formulae. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:317-326 [Conf]
  23. Ronen Basri, Dan Roth, David W. Jacobs
    Clustering Appearances of 3D Objects. [Citation Graph (0, 0)][DBLP]
    CVPR, 1998, pp:414-420 [Conf]
  24. Dan Roth, Ming-Hsuan Yang, Narendra Ahuja
    Learning to Recognize Objects. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1724-1731 [Conf]
  25. Shivani Agarwal, Dan Roth
    Learning a Sparse Representation for Object Detection. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2002, pp:113-130 [Conf]
  26. Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
    Learning to Recognize 3D Objects with SNoW. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2000, pp:439-454 [Conf]
  27. Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
    A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2002, pp:685-699 [Conf]
  28. Xavier Carreras, Lluís Màrquez, Vasin Punyakanok, Dan Roth
    Learning and Inference for Clause Identification. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:35-47 [Conf]
  29. Ashutosh Garg, Dan Roth
    Understanding Probabilistic Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:179-191 [Conf]
  30. Dan Roth
    Reasoning with Classifiers. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:506-510 [Conf]
  31. Dan Roth, Kevin Small
    Margin-Based Active Learning for Structured Output Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:413-424 [Conf]
  32. Andrew J. Carlson, Jeffrey Rosen, Dan Roth
    Scaling Up Context-Sensitive Text Correction. [Citation Graph (0, 0)][DBLP]
    IAAI, 2001, pp:45-50 [Conf]
  33. Brian Ziebart, Dan Roth, Roy H. Campbell, Anind K. Dey
    Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management. [Citation Graph (0, 0)][DBLP]
    ICAC, 2005, pp:204-215 [Conf]
  34. Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
    Face detection using large margin classifiers. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2001, pp:665-668 [Conf]
  35. Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nicholas Rizzolo, ZhenQiu Zhang, Thomas S. Huang, Dan Roth, Stephen E. Levinson
    Bimodal HCI-related affect recognition. [Citation Graph (0, 0)][DBLP]
    ICMI, 2004, pp:137-143 [Conf]
  36. Chad M. Cumby, Dan Roth
    On Kernel Methods for Relational Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:107-114 [Conf]
  37. Ashutosh Garg, Sariel Har-Peled, Dan Roth
    On generalization bounds, projection profile, and margin distribution. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:171-178 [Conf]
  38. Ashutosh Garg, Dan Roth
    Margin Distribution and Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:210-217 [Conf]
  39. Andrew R. Golding, Dan Roth
    Applying Winnow to Context-Sensitive Spelling Correction. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:182-190 [Conf]
  40. Russell Greiner, Adam J. Grove, Dan Roth
    Learning Active Classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:207-215 [Conf]
  41. Dan Roth, Wen-tau Yih
    Integer linear programming inference for conditional random fields. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:736-743 [Conf]
  42. Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
    Lifted First-Order Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1319-1325 [Conf]
  43. Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons
    An Inference Model for Semantic Entailment in Natural Language. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1678-1679 [Conf]
  44. Roni Khardon, Dan Roth
    Default-Reasoning with Models. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:319-327 [Conf]
  45. Roni Khardon, Dan Roth, Leslie G. Valiant
    Relational Learning for NLP using Linear Threshold Elements. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:911-919 [Conf]
  46. Vasin Punyakanok, Dan Roth, Wen-tau Yih
    The Necessity of Syntactic Parsing for Semantic Role Labeling. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1117-1123 [Conf]
  47. Vasin Punyakanok, Dan Roth, Wen-tau Yih, Dav Zimak
    Learning and Inference over Constrained Output. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1124-1129 [Conf]
  48. Dan Roth
    On the Hardness of Approximate Reasoning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:613-619 [Conf]
  49. Dan Roth
    Learning to Reason: The Non-Monotonic Case. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:1178-1184 [Conf]
  50. Dan Roth
    Learning in Natural Language. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:898-904 [Conf]
  51. Dan Roth, Wen-tau Yih
    Relational Learning via Propositional Algorithms: An Information Extraction Case Study. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:1257-1263 [Conf]
  52. Sariel Har-Peled, Dan Roth, Dav Zimak
    Maximum Margin Coresets for Active and Noise Tolerant Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:836-841 [Conf]
  53. Chad M. Cumby, Dan Roth
    Learning with Feature Description Logics. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:32-47 [Conf]
  54. John S. Chuang, Dan Roth
    Gene recognition based on DAG shortest paths. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:56-64 [Conf]
  55. Chad M. Cumby, Dan Roth
    Relational Representations that Facilitate Learning. [Citation Graph (0, 0)][DBLP]
    KR, 2000, pp:425-434 [Conf]
  56. Dan Roth
    Learning to Perform Knowledge-Intensive Inferences. [Citation Graph (0, 0)][DBLP]
    MFCS, 1997, pp:108-109 [Conf]
  57. Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons
    An Inference Model for Semantic Entailment in Natural Language. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:261-286 [Conf]
  58. Xin Li, Paul Morie, Dan Roth
    Robust Reading: Identification and Tracing of Ambiguous Names. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2004, pp:17-24 [Conf]
  59. Alexandre Klementiev, Dan Roth
    Named Entity Transliteration and Discovery from Multilingual Comparable Corpora. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2006, pp:- [Conf]
  60. Vasin Punyakanok, Dan Roth, Mark Sammons, Wen-tau Yih
    Demonstrating an Interactive Semantic Role Labeling System. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  61. Cecilia Ovesdotter Alm, Dan Roth, Richard Sproat
    Emotions from Text: Machine Learning for Text-based Emotion Prediction. [Citation Graph (0, 0)][DBLP]
    HLT/EMNLP, 2005, pp:- [Conf]
  62. Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
    A Large Deviation Bound for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  63. Adam J. Grove, Dan Roth
    Linear Concepts and Hidden Variables: An Empirical Study. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  64. Sariel Har-Peled, Dan Roth, Dav Zimak
    Constraint Classification for Multiclass Classification and Ranking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:785-792 [Conf]
  65. Roni Khardon, Dan Roth, Rocco A. Servedio
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:423-430 [Conf]
  66. Vasin Punyakanok, Dan Roth
    The Use of Classifiers in Sequential Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:995-1001 [Conf]
  67. Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
    A SNoW-Based Face Detector. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:862-868 [Conf]
  68. Dan Roth
    Reasoning with Classifiers. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:489-493 [Conf]
  69. Dan Roth
    Learning in Order to Reason: The Approach. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1996, pp:113-124 [Conf]
  70. Dan Roth, Dmitry Zelenko
    Coherent Concepts, Robust Learning. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1999, pp:264-276 [Conf]
  71. Dan Roth, Gio Kao Kao, Xin Li, Ramya Nagarajan, Vasin Punyakanok, Nick Rizzolo, Wen-tau Yih, Cecilia Ovesdotter Alm, Liam Gerard Moran
    Learning Components for A Question-Answering System. [Citation Graph (0, 0)][DBLP]
    TREC, 2001, pp:- [Conf]
  72. Dan Roth, Chad M. Cumby, Xin Li, Paul Morie, Ramya Nagarajan, Nick Rizzolo, Kevin Small, Wen-tau Yih
    Question-Answering via Enhanced Understanding of Questions. [Citation Graph (0, 0)][DBLP]
    TREC, 2002, pp:- [Conf]
  73. Marios Mavronicolas, Dan Roth
    Efficient, Strongly Consistent Implementations of Shared Memory (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    WDAG, 1992, pp:346-361 [Conf]
  74. Roni Khardon, Heikki Mannila, Dan Roth
    Reasoning with Examples: Propositional Formulae and Database Dependencies. [Citation Graph (0, 0)][DBLP]
    Acta Inf., 1999, v:36, n:4, pp:267-286 [Journal]
  75. Russell Greiner, Adam J. Grove, Dan Roth
    Learning cost-sensitive active classifiers. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:139, n:2, pp:137-174 [Journal]
  76. Roni Khardon, Dan Roth
    Reasoning with Models. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:87, n:1-2, pp:187-213 [Journal]
  77. Roni Khardon, Dan Roth
    Defaults and Relevance in Model-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1997, v:97, n:1-2, pp:169-193 [Journal]
  78. Ole J. Mengshoel, David C. Wilkins, Dan Roth
    Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2006, v:170, n:16-17, pp:1137-1174 [Journal]
  79. Dan Roth
    On the Hardness of Approximate Reasoning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:82, n:1-2, pp:273-302 [Journal]
  80. Xin Li, Paul Morie, Dan Roth
    Semantic Integration in Text: From Ambiguous Names to Identifiable Entities. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:1, pp:45-58 [Journal]
  81. Karen L. Daniels, Victor J. Milenkovic, Dan Roth
    Finding the Largest Area Axis-parallel Rectangle in a Polygon. [Citation Graph (0, 0)][DBLP]
    Comput. Geom., 1997, v:7, n:, pp:125-148 [Journal]
  82. Andrew R. Golding, Dan Roth
    Applying Winnow to Context-Sensitive Spelling Correction [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  83. Ido Dagan, Yael Karov, Dan Roth
    Mistake-Driven Learning in Text Categorization [Citation Graph (0, 0)][DBLP]
    CoRR, 1997, v:0, n:, pp:- [Journal]
  84. Yair Even-Zohar, Dan Roth
    A Sequential Model for Multi-Class Classification [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  85. Erik F. Tjong Kim Sang, Walter Daelemans, Hervé Déjean, Rob Koeling, Yuval Krymolowski, Vasin Punyakanok, Dan Roth
    Applying System Combination to Base Noun Phrase Identification [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  86. Yair Even-Zohar, Dan Roth
    A Classification Approach to Word Prediction [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  87. Dan Roth
    Learning to Resolve Natural Language Ambiguities: A Unified Approach [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  88. Marcia Muñoz, Vasin Punyakanok, Dan Roth, Dav Zimak
    A Learning Approach to Shallow Parsing [Citation Graph (0, 0)][DBLP]
    CoRR, 2000, v:0, n:, pp:- [Journal]
  89. Vasin Punyakanok, Dan Roth
    The Use of Classifiers in Sequential Inference [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  90. Andrew R. Golding, Dan Roth
    A Winnow-Based Approach to Context-Sensitive Spelling Correction [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  91. Roni Khardon, Dan Roth
    Learning to reason. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1997, v:44, n:5, pp:697-725 [Journal]
  92. Shivani Agarwal, Thore Graepel, Ralf Herbrich, Sariel Har-Peled, Dan Roth
    Generalization Bounds for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:393-425 [Journal]
  93. Pascale Fung, Dan Roth
    Guest Editors Introduction: Machine Learning in Speech and Language Technologies. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:60, n:1-3, pp:5-9 [Journal]
  94. Andrew R. Golding, Dan Roth
    A Winnow-Based Approach to Context-Sensitive Spelling Correction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:34, n:1-3, pp:107-130 [Journal]
  95. Adam J. Grove, Dan Roth
    Linear Concepts and Hidden Variables. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:42, n:1/2, pp:123-141 [Journal]
  96. Eyal Kushilevitz, Dan Roth
    On Learning Visual Concepts and DNF Formulae. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:24, n:1, pp:65-85 [Journal]
  97. Roni Khardon, Dan Roth
    Learning to Reason with a Restricted View. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:35, n:2, pp:95-116 [Journal]
  98. Dan Roth, Ming-Hsuan Yang, Narendra Ahuja
    Learning to Recognize Three-Dimensional Objects. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:5, pp:1071-1103 [Journal]
  99. Shivani Agarwal, Aatif Awan, Dan Roth
    Learning to Detect Objects in Images via a Sparse, Part-Based Representation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:11, pp:1475-1490 [Journal]
  100. Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
    On Learning Read-k-Satisfy-j DNF. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1998, v:27, n:6, pp:1515-1530 [Journal]
  101. Marios Mavronicolas, Dan Roth
    Linearizable Read/Write Objects. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1999, v:220, n:1, pp:267-319 [Journal]
  102. Michael Connor, Dan Roth
    Context Sensitive Paraphrasing with a Global Unsupervised Classifier. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:104-115 [Conf]
  103. Alexandre Klementiev, Dan Roth, Kevin Small
    An Unsupervised Learning Algorithm for Rank Aggregation. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:616-623 [Conf]
  104. Roni Khardon, Dan Roth, Rocco A. Servedio
    Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2005, v:24, n:, pp:341-356 [Journal]

  105. Active Learning for Pipeline Models. [Citation Graph (, )][DBLP]


  106. Proactive Intrusion Detection. [Citation Graph (, )][DBLP]


  107. Importance of Semantic Representation: Dataless Classification. [Citation Graph (, )][DBLP]


  108. Learning and Inference with Constraints. [Citation Graph (, )][DBLP]


  109. Guiding Semi-Supervision with Constraint-Driven Learning. [Citation Graph (, )][DBLP]


  110. Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. [Citation Graph (, )][DBLP]


  111. Active Sample Selection for Named Entity Transliteration. [Citation Graph (, )][DBLP]


  112. Learning better transliterations. [Citation Graph (, )][DBLP]


  113. Aspect Guided Text Categorization with Unobserved Labels. [Citation Graph (, )][DBLP]


  114. Unsupervised rank aggregation with distance-based models. [Citation Graph (, )][DBLP]


  115. Structured Output Learning with Indirect Supervision. [Citation Graph (, )][DBLP]


  116. Unsupervised Rank Aggregation with Domain-Specific Expertise. [Citation Graph (, )][DBLP]


  117. Unsupervised Constraint Driven Learning For Transliteration Discovery. [Citation Graph (, )][DBLP]


  118. Learning Multi-linear Representations of Distributions for Efficient Inference. [Citation Graph (, )][DBLP]


  119. Automatic Model Adaptation for Complex Structured Domains. [Citation Graph (, )][DBLP]


  120. Which "Apple" are you talking about ? [Citation Graph (, )][DBLP]


  121. Extracting article text from the web with maximum subsequence segmentation. [Citation Graph (, )][DBLP]


  122. Modeling Discriminative Global Inference. [Citation Graph (, )][DBLP]


  123. Understanding the Value of Features for Coreference Resolution. [Citation Graph (, )][DBLP]


  124. Transliteration as Constrained Optimization. [Citation Graph (, )][DBLP]


  125. Reading to Learn: Constructing Features from Semantic Abstracts. [Citation Graph (, )][DBLP]


  126. Learning Hebrew Roots: Machine Learning with Linguistic Constraints. [Citation Graph (, )][DBLP]


  127. Learning Based Java for Rapid Development of NLP Systems. [Citation Graph (, )][DBLP]


  128. The Importance of Syntactic Parsing and Inference in Semantic Role Labeling. [Citation Graph (, )][DBLP]


  129. Identifying Semitic Roots: Machine Learning with Linguistic Constraints. [Citation Graph (, )][DBLP]


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