| Year |
Citation |
Score |
| 2013 |
Hobbs JR. Influences and Inferences Computational Linguistics. 39: 781-798. DOI: 10.1162/Coli_A_00171 |
0.315 |
|
| 2013 |
Hobbs JR, Mulkar-Mehta R. Toward a formal theory of information structure Evolution of Semantic Systems. 101-126. DOI: 10.1007/978-3-642-34997-3 |
0.698 |
|
| 2011 |
Pan F, Mulkar-Mehta R, Hobbs JR. Annotating and learning event durations in text Computational Linguistics. 37: 727-752. DOI: 10.1162/Coli_A_00075 |
0.731 |
|
| 2011 |
Mulkar-Mehta R, Gordon AS, Hobbs JR, Hovy E. Causal markers across domains and genres of discourse Kcap 2011 - Proceedings of the 2011 Knowledge Capture Conference. 183-184. DOI: 10.1145/1999676.1999716 |
0.694 |
|
| 2011 |
Mulkar-Mehta R, Welty C, Hobbs JR, Hovy E. Using part-of relations for discovering causality Proceedings of the 24th International Florida Artificial Intelligence Research Society, Flairs - 24. 57-62. |
0.711 |
|
| 2011 |
Mulkar-Mehta R, Hobbs J, Hovy E. Applications and discovery of granularity structures in natural language discourse Aaai Spring Symposium - Technical Report. 156-159. |
0.713 |
|
| 2009 |
Mulkar-Mehta R, Hobbs JR, Liu CC, Zhou XJ. Discovering causal and temporal relations in biomedical texts Aaai Spring Symposium - Technical Report. 74-80. |
0.725 |
|
| 2007 |
Barker K, Agashe B, Chaw SY, Fan J, Friedland N, Glass M, Hobbs J, Hovy E, Israel D, Kim DS, Mulkar-Mehta R, Patwardhan S, Porter B, Tecuci D, Yeh P. Learning by reading: A prototype system, performance baseline and lessons learned Proceedings of the National Conference On Artificial Intelligence. 1: 280-286. |
0.713 |
|
| 2007 |
Pan F, Mulkar-Mehta R, Hobbs JR. Modeling and learning vague event durations for temporal reasoning Proceedings of the National Conference On Artificial Intelligence. 2: 1659-1662. |
0.729 |
|
| 2005 |
François ARJ, Nevatia R, Hobbs J, Bolles RC. VERL: An ontology framework for representing and annotating video events Ieee Multimedia. 12: 76-86. DOI: 10.1109/Mmul.2005.87 |
0.352 |
|
| 2005 |
Hobbs JR. Toward a useful concept of causality for lexical semantics Journal of Semantics. 22: 181-209. DOI: 10.1093/Jos/Ffh024 |
0.339 |
|
| 2004 |
Gordon AS, Hobbs JR. Formalizations of commonsense psychology Ai Magazine. 25: 49-62. DOI: 10.1609/Aimag.V25I4.1784 |
0.342 |
|
| 2002 |
Hobbs JR. Information extraction from biomedical text. Journal of Biomedical Informatics. 35: 260-4. PMID 12755520 DOI: 10.1016/S1532-0464(03)00015-7 |
0.33 |
|
| 1995 |
Hobbs JR. Sketch of an ontology underlying the way we talk about the world International Journal of Human - Computer Studies. 43: 819-830. DOI: 10.1006/Ijhc.1995.1076 |
0.352 |
|
| 1993 |
Hobbs JR, Stickel ME, Appelt DE, Martin P. Interpretation as abduction Artificial Intelligence. 63: 69-142. DOI: 10.1016/0004-3702(93)90015-4 |
0.327 |
|
| 1983 |
Hobbs JR. Metaphor Interpretation as Selective Inferencing: Cognitive Processes in Understanding Metaphor (Part 2) Empirical Studies of the Arts. 1: 125-142. DOI: 10.2190/Jfh9-Mdtx-73Ag-Pwdd |
0.3 |
|
| 1983 |
Hobbs JR. Metaphor Interpretation as Selective Inferencing: Cognitive Processes in Understanding Metaphor (Part 1) Empirical Studies of the Arts. 1: 17-33. DOI: 10.2190/5Kje-327R-Felr-Gawl |
0.3 |
|
| 1979 |
Hobbs JR. Coherence and coreference Cognitive Science. 3: 67-90. DOI: 10.1207/S15516709Cog0301_4 |
0.312 |
|
| 1977 |
Hobbs JR. What the nature of natural language tells us about how to make natural-language-like programming languages more natural Intelligence\/Sigart Bulletin. 12: 85-93. DOI: 10.1145/872736.806936 |
0.335 |
|
| 1977 |
Hobbs JR. Pronoun resolution Intelligence\/Sigart Bulletin. 28-28. DOI: 10.1145/1045283.1045292 |
0.301 |
|
| 1975 |
Hobbs JR, Grishman R. The Automatic Transformational Analysis of English Sentences: An Implementation International Journal of Computer Mathematics. 5: 267-283. DOI: 10.1080/00207167608803117 |
0.613 |
|
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