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Dan Roth, Ph.D - Publications

Affiliations: 
Computer science University of Pennsylvania, Philadelphia, PA, United States 
Website:
https://cogcomp.org
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47 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Kordjamshidi P, Roth D, Kersting K. Declarative Learning-Based Programming as an Interface to AI Systems. Frontiers in Artificial Intelligence. 5: 755361. PMID 35372833 DOI: 10.3389/frai.2022.755361  0.344
2020 Sachan M, Dubey A, Hovy EH, Mitchell TM, Roth D, Xing EP. Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks Computational Linguistics. 45: 627-665. DOI: 10.1162/Coli_A_00360  0.365
2019 Rozovskaya A, Roth D. Grammar Error Correction in Morphologically-Rich Languages: The Case of Russian Transactions of the Association For Computational Linguistics. 7: 1-17. DOI: 10.1162/Tacl_A_00251  0.327
2019 Song Y, Upadhyay S, Peng H, Mayhew S, Roth D. Toward any-language zero-shot topic classification of textual documents Artificial Intelligence. 274: 133-150. DOI: 10.1016/J.Artint.2019.02.002  0.377
2018 Roy S, Roth D. Mapping to Declarative Knowledge for Word Problem Solving Transactions of the Association For Computational Linguistics. 6: 159-172. DOI: 10.1162/Tacl_A_00012  0.311
2018 Tsai CT, Mayhew S, Song Y, Sammons M, Roth D. Illinois CCG LoReHLT 2016 Named Entity Recognition And Situation Frame Systems Machine Translation. 32: 91-103. DOI: 10.1007/S10590-017-9211-5  0.396
2017 Rozovskaya A, Roth D, Sammons M. Adapting to Learner Errors with Minimal Supervision Computational Linguistics. 43: 723-760. DOI: 10.1162/Coli_A_00299  0.344
2016 Tsai C, Roth D. Concept Grounding to Multiple Knowledge Bases via Indirect Supervision Transactions of the Association For Computational Linguistics. 4: 141-154. DOI: 10.1162/Tacl_A_00089  0.371
2016 Wang C, Song Y, Roth D, Zhang M, Han J. World Knowledge as Indirect Supervision for Document Clustering Acm Transactions On Knowledge Discovery From Data. 11: 1-36. DOI: 10.1145/2953881  0.391
2015 Kordjamshidi P, Roth D, Moens MF. Structured learning for spatial information extraction from biomedical text: bacteria biotopes. Bmc Bioinformatics. 16: 129. PMID 25909637 DOI: 10.1186/S12859-015-0542-Z  0.399
2015 Roy S, Vieira T, Roth D. Reasoning about Quantities in Natural Language Transactions of the Association For Computational Linguistics. 3: 1-13. DOI: 10.1162/Tacl_A_00118  0.389
2015 Vydiswaran VGV, Zhai C, Roth D, Pirolli P. Overcoming bias to learn about controversial topics Journal of the Association For Information Science and Technology. 66: 1655-1672. DOI: 10.1002/Asi.23274  0.35
2014 Wang D, Al Amin MT, Abdelzaher T, Roth D, Voss CR, Kaplan LM, Tratz S, Laoudi J, Briesch D. Provenance-assisted classification in social networks Ieee Journal On Selected Topics in Signal Processing. 8: 624-637. DOI: 10.1109/Jstsp.2014.2311586  0.314
2014 Rivera SJ, Minsker BS, Work DB, Roth D. A text mining framework for advancing sustainability indicators Environmental Modelling and Software. 62: 128-138. DOI: 10.1016/J.Envsoft.2014.08.016  0.352
2014 Goldwasser D, Roth D. Learning from natural instructions Machine Learning. 94: 205-232. DOI: 10.1007/S10994-013-5407-Y  0.451
2014 Bordes A, Bottou L, Collobert R, Roth D, Weston J, Zettlemoyer L. Introduction to the special issue on learning semantics Machine Learning. 94: 127-131. DOI: 10.1007/S10994-013-5381-4  0.45
2013 Jindal P, Roth D. Extraction of events and temporal expressions from clinical narratives Journal of Biomedical Informatics. 46. PMID 24022023 DOI: 10.1016/J.Jbi.2013.08.010  0.319
2013 Jindal P, Roth D. Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives Journal of the American Medical Informatics Association. 20: 356-362. PMID 22781192 DOI: 10.1136/Amiajnl-2011-000767  0.343
2013 Srikumar V, Roth D. Modeling Semantic Relations Expressed by Prepositions Transactions of the Association For Computational Linguistics. 1: 231-242. DOI: 10.1162/Tacl_A_00223  0.369
2012 do QX, Roth D. Exploiting the wikipedia structure in local and global classification of taxonomic relations Natural Language Engineering. 18: 235-262. DOI: 10.1017/S1351324912000046  0.415
2012 Chang M, Ratinov L, Roth D. Structured learning with constrained conditional models Machine Learning. 88: 399-431. DOI: 10.1007/S10994-012-5296-5  0.427
2011 Mengshoel OJ, Wilkins DC, Roth D. Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks Ieee Transactions On Knowledge and Data Engineering. 23: 235-247. DOI: 10.1109/Tkde.2010.98  0.36
2011 Mengshoel OJ, Roth D, Wilkins DC. Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks Journal of Automated Reasoning. 46: 103-160. DOI: 10.1007/S10817-010-9170-5  0.393
2010 Dagan I, Dolan B, Magnini B, Roth D. Recognizing textual entailment: Rational, evaluation and approaches Natural Language Engineering. 16: i-xvii. DOI: 10.1017/S1351324909990209  0.401
2010 Small K, Roth D. Margin-based active learning for structured predictions International Journal of Machine Learning and Cybernetics. 1: 3-25. DOI: 10.1007/S13042-010-0003-Y  0.431
2008 Punyakanok V, Roth D, Yih W. The importance of syntactic parsing and inference in semantic role labeling Computational Linguistics. 34: 257-287. DOI: 10.1162/Coli.2008.34.2.257  0.391
2008 Daya E, Roth D, Wintner S. Identifying semitic roots: Machine learning with linguistic constraints Computational Linguistics. 34: 429-448. DOI: 10.1162/Coli.2008.07-002-R1-06-30  0.442
2006 Li X, Roth D. Learning question classifiers: the role of semantic information Natural Language Engineering. 12: 229-249. DOI: 10.1017/S1351324905003955  0.446
2006 Mengshoel OJ, Wilkins DC, Roth D. Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering Artificial Intelligence. 170: 1137-1174. DOI: 10.1016/J.Artint.2006.09.003  0.325
2005 Khardon R, Roth D, Servedio RA. Efficiency versus convergence of Boolean kernels for on-line learning algorithms Journal of Artificial Intelligence Research. 24: 341-356. DOI: 10.1613/Jair.1655  0.628
2005 Li X, Morie P, Roth D. Semantic integration in text: from ambiguous names to identifiable entities Ai Magazine. 26: 45-58. DOI: 10.1609/Aimag.V26I1.1798  0.457
2005 Fung P, Roth D. Guest editors introduction: Machine learning in speech and language technologies Machine Learning. 60: 5-9. DOI: 10.1007/S10994-005-1399-6  0.423
2004 Agarwal S, Awan A, Roth D. Learning to detect objects in images via a sparse, part-based representation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 26: 1475-90. PMID 15521495 DOI: 10.1109/Tpami.2004.108  0.365
2002 Roth D, Yang MH, Ahuja N. Learning to recognize three-dimensional objects. Neural Computation. 14: 1071-103. PMID 11972908 DOI: 10.1162/089976602753633394  0.402
2002 Greiner R, Grove AJ, Roth D. Learning cost-sensitive active classifiers Artificial Intelligence. 139: 137-174. DOI: 10.1016/S0004-3702(02)00209-6  0.411
2001 Chuang JS, Roth D. Gene recognition based on DAG shortest paths. Bioinformatics (Oxford, England). 17: S56-64. PMID 11472993 DOI: 10.1093/Bioinformatics/17.Suppl_1.S56  0.306
2001 Grove AJ, Roth D. Linear concepts and hidden variables Machine Learning. 42: 123-141. DOI: 10.1023/A:1007655119445  0.435
1999 Khardon R, Roth D. Learning to reason with a restricted view Machine Learning. 35: 95-116. DOI: 10.1023/A:1007581123604  0.444
1999 Golding AR, Roth D. A Winnow-Based Approach to Context-Sensitive Spelling Correction Machine Learning. 34: 107-130. DOI: 10.1023/A:1007545901558  0.496
1999 Khardon R, Mannila H, Roth D. Reasoning with examples: Propositional formulae and database dependencies Acta Informatica. 36: 267-286. DOI: 10.1007/S002360050161  0.337
1998 Aizenstein H, Blum A, Khardon R, Kushilevitz E, Pitt L, Roth D. On Learning Read- k -Satisfy- j DNF Siam Journal On Computing. 27: 1515-1530. DOI: 10.1137/S0097539794274398  0.33
1997 Khardon R, Roth D. Learning to reason Journal of the Acm. 44: 697-725. DOI: 10.1145/265910.265918  0.481
1997 Khardon R, Roth D. Defaults and relevance in model-based reasoning Artificial Intelligence. 97: 169-193. DOI: 10.1016/S0004-3702(97)00044-1  0.449
1997 Daniels K, Milenkovic V, Roth D. Finding the largest area axis-parallel rectangle in a polygon Computational Geometry: Theory and Applications. 7: 125-148. DOI: 10.1016/0925-7721(95)00041-0  0.312
1996 Kushilevitz E, Roth D. On learning visual concepts and DNF formulae Machine Learning. 24: 65-85. DOI: 10.1023/A:1018098129371  0.416
1996 Khardon R, Roth D. Reasoning with models Artificial Intelligence. 87: 187-213. DOI: 10.1016/S0004-3702(96)00006-9  0.362
1996 Roth D. On the hardness of approximate reasoning Artificial Intelligence. 82: 273-302. DOI: 10.1016/0004-3702(94)00092-1  0.387
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