2017 (6)
The "Grey Area": A Computational approach to model the Zone of Proximal Development. Chounta, I.; Albacete, P.; Jordan, P.; Katz, S.; and McLaren, B. M. In Proceedings of the 12th European Conference On Technology Enhanced Learning (EC-TEL 2017), 2017.
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Modeling the Zone of Proximal Development with a Computational Approach. Chounta, I.; McLaren, B.; Albacete, P.; Jordan, P.; and Katz, S. In Proceedings of the 10th International Conference on Educational Data Mining (EDM 2017), pages 356-357, 2017.
Modeling the Zone of Proximal Development with a Computational Approach [link]Paper   bibtex
Adapting Step Granularity in Tutorial Dialogue Based on Pretest Scores. Jordan, P.; Albacete, P.; and Katz, S. In Proceedings of 18th International Conference, AIED 2017, pages 137-148, 2017.
Adapting Step Granularity in Tutorial Dialogue Based on Pretest Scores [link]Paper   bibtex
A Tool to Assess Fine-grained Knowledge from Correct and Incorrect Answers in Online Multiple-choice Tests: an Application to Student Modeling. Albacete, P.; Silliman, S.; and Jordan, P. In Proceedings of EdMedia, Educational Media & Technology Conference, 2017.
A Tool to Assess Fine-grained Knowledge from Correct and Incorrect Answers in Online Multiple-choice Tests: an Application to Student Modeling [link]Paper   bibtex
Shifting the Load: A Peer Dialogue Agent that Encourages Its Human Collaborator to Contribute More to Problem Solving. Howard, C.; Jordan, P.; Di Eugenio, B.; and Katz, S. International Journal of Artificial Intelligence in Education, Special Issue on AI-supported Education in Computer Science, 27: 101--129. 2017.
Shifting the Load: A Peer Dialogue Agent that Encourages Its Human Collaborator to Contribute More to Problem Solving [link]Paper   doi   bibtex
Exploring Initiative as a Signal of Knowledge Co-Construction During Collaborative Problem Solving. Howard, C.; Di Eugenio, B.; Jordan, P.; and Katz, S. Cognitive Science, 41(6): 1422-1449. 2017.
Exploring Initiative as a Signal of Knowledge Co-Construction During Collaborative Problem Solving [pdf]Paper   doi   bibtex
  2016 (4)
Analysis of Human-to-Human Tutorial Dialogues: Insights for Teaching Analytics. Chounta, I.; McLaren, B.; Albacete, P.; Jordan, P.; and Katz, S. In The 4th International Workshop on Teaching Analytics at Ec-Tel 16, 2016.
Analysis of Human-to-Human Tutorial Dialogues: Insights for Teaching Analytics [pdf]Paper   bibtex
Exploring Contingent Step Decomposition in a Tutorial Dialogue System. Jordan, P.; Albacete, P.; and Katz, S. In The 24th Conference on User Modeling, Adaptation and Personalization (UMAP), 2016.
Exploring Contingent Step Decomposition in a Tutorial Dialogue System [link]Paper   bibtex
Do summaries support learning from post-problem reflective dialogues?. Katz, S.; Albacete, P.; and Jordan, P. W. In Micarelli, A.; and Stamper, J., editor(s), The 13th International Conference on Intelligent Tutoring Systems, 2016. Springer
Do summaries support learning from post-problem reflective dialogues? [link]Paper   bibtex
Exploring How to Adaptively Apply Tutorial Dialogue Tactics. Katz, S.; Jordan, P. W.; and Albacete, P. In The 16th IEEE International Conference on Advanced Learning Technologies - ICALT2016, 2016.
Exploring How to Adaptively Apply Tutorial Dialogue Tactics [link]Paper   bibtex
  2015 (3)
When is it Helpful to Restate Student Responses within a Tutorial Dialogue System?. Jordan, P.; Albacete, P.; and Katz, S. In AIED: 17th International Conference on Artificial Intelligence in Education, pages 658-661, 2015.
When is it Helpful to Restate Student Responses within a Tutorial Dialogue System? [link]Paper   bibtex
Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations during Human Tutoring Effective?. Albacete, P.; Jordan, P.; and Katz, S. In AIED: 17th International Conference on Artificial Intelligence in Education, 2015.
Is a Dialogue-Based Tutoring System that Emulates Helpful Co-constructed Relations during Human Tutoring Effective? [link]Paper   bibtex
Exploring the Effects of Redundancy within a Tutorial Dialogue System: Restating Student's Responses. Jordan, P.; Albacete, P.; and Katz, S. In 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 51-59, 2015.
Exploring the Effects of Redundancy within a Tutorial Dialogue System: Restating Student's Responses [pdf]Paper   bibtex
  2014 (4)
When Is Tutorial Dialogue More Effective Than Step-Based Tutoring?. Chi, M.; Jordan, P.; and VanLehn, K. In Intelligent Tutoring Systems, pages 210--219, 2014. Springer
When Is Tutorial Dialogue More Effective Than Step-Based Tutoring? [link]Paper   bibtex
Summarization during Tutoring: Implications for Developing Micro-Adaptive Tutoring Systems. Katz, S.; Albacete, P.; and Jordan, P. In ITS Workshop on Pedagogy That Makes A Difference: Exploring Domain-Independent Principles across Instructional Management Research within the ITS Community, 2014.
Summarization during Tutoring: Implications for Developing Micro-Adaptive Tutoring Systems [link]Paper   bibtex
Predicting semantic changes in abstraction in tutor responses to students. Lipschultz, M.; Litman, D.; Katz, S.; Albacete, P.; and Jordan, P. International Journal of Learning Technology, 9(3): 281--303. 2014.
Predicting semantic changes in abstraction in tutor responses to students [link]Paper   bibtex
TBI-Doc: Generating Patient & Clinician Reports from Brain Imaging Data. Jordan, P.; Green, N. L; Thomas, C.; and Holm, S. In INLG 2014, pages 143, 2014.
TBI-Doc: Generating Patient & Clinician Reports from Brain Imaging Data [link]Paper   bibtex
  2013 (4)
Pilot test of a natural-language tutoring system for physics that simulates the highly interactive nature of human tutoring. Katz, S.; Albacete, P.; Ford, M. J.; Jordan, P.; Lipschultz, M.; Litman, D.; Silliman, S.; and Wilson, C. In Artificial Intelligence in Education, pages 636--639, 2013. Springer
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Semantic annotation of clinical events for generating a problem list. Mowery, D. L; Jordan, P.; Wiebe, J.; Harkema, H.; Dowling, J.; and Chapman, W. W. In AMIA Annual Symposium Proceedings, volume 2013, pages 1032, 2013.
Semantic annotation of clinical events for generating a problem list [link]Paper   bibtex
Eliciting student explanations during tutorial dialogue for the purpose of providing formative feedback. Jordan, P. W.; Albacete, P.; Katz, S.; Ford, M. J.; and Lipschultz, M. In AIED Workshops, 2013.
Eliciting student explanations during tutorial dialogue for the purpose of providing formative feedback. [link]Paper   bibtex
Interactive Event: The Rimac Tutor-A Simulation of the Highly Interactive Nature of Human Tutorial Dialogue. Jordan, P.; Albacete, P.; Ford, M. J.; Katz, S.; Lipschultz, M.; Litman, D.; Silliman, S.; and Wilson, C. In Artificial Intelligence in Education, pages 928--929, 2013. Springer
Interactive Event: The Rimac Tutor-A Simulation of the Highly Interactive Nature of Human Tutorial Dialogue [link]Paper   bibtex
  2012 (3)
Reformulating student contributions in tutorial dialogue. Jordan, P.; Katz, S.; Albacete, P.; Ford, M. J.; and Wilson, C. In Proceedings of the Seventh International Natural Language Generation Conference, pages 95--99, 2012. Association for Computational Linguistics
Reformulating student contributions in tutorial dialogue [link]Paper   bibtex
Does Domain Knowledge Matter for Assertion Annotation in Clinical Texts?. Mowery, D. L; Jordan, P. W.; Wiebe, J.; Chapman, W. W.; and Liu, L. In 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology, pages 136, 2012.
Does Domain Knowledge Matter for Assertion Annotation in Clinical Texts? [link]Paper   bibtex
Evaluating learning factors analysis. Lipschultz, M.; Litman, D. J.; Jordan, P. W.; and Katz, S. In UMAP Workshops, 2012.
Evaluating learning factors analysis. [link]Paper   bibtex
  2011 (6)
Dialogue Analysis to Inform the Development of a Natural-language Tutoring System. Katz, S.; Albacete, P.; Jordan, P.; and Litman, D. In Proceedings of SemDial 2011 (Los Angelogue) Workshop on the Semantics and Pragmatics of Dialogue, 2011.
Dialogue Analysis to Inform the Development of a Natural-language Tutoring System [link]Paper   bibtex
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies. Chi, M.; VanLehn, K.; Litman, D.; and Jordan, P. User Modeling and User-Adapted Interaction, 21(1-2): 137--180. 2011.
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Predicting Changes in Level of Abstraction in Tutor Responses to Students. Lipschultz, M.; Litman, D. J.; Jordan, P. W.; and Katz, S. In FLAIRS Conference, 2011. Citeseer
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An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach. Chi, M.; VanLehn, K.; Litman, D.; and Jordan, P. International Journal of Artificial Intelligence in Education, 21(1-2): 83--113. 2011.
An evaluation of pedagogical tutorial tactics for a natural language tutoring system: A reinforcement learning approach [link]Paper   bibtex
Rimac: A Natural-Language Dialogue System that Engages Students in Deep Reasoning Dialogues about Physics. Katz, S.; Jordan, P.; and Litman, D. In Society for Research on Educational Effectiveness, 2011.
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Instructional factors analysis: A cognitive model for multiple instructional interventions. Chi, M.; Koedinger, K. R; Gordon, G. J; Jordan, P.; and VanLehn, K. In Educational Data Mining Conference, 2011.
Instructional factors analysis: A cognitive model for multiple instructional interventions [link]Paper   bibtex
  2010 (3)
KSC-PaL: a peer learning agent. Kersey, C.; Di Eugenio, B.; Jordan, P.; and Katz, S. In Intelligent Tutoring Systems, pages 72--81, 2010. Springer
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Inducing effective pedagogical strategies using learning context features. Chi, M.; VanLehn, K.; Litman, D.; and Jordan, P. In User Modeling, Adaptation, and Personalization, pages 147--158, 2010. Springer. Winner of Best Student Paper award.
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Annotating conditions in clinical narratives to support temporal classification. Jordan, P. W.; Mowery, D. L; Wiebe, J.; and Chapman, W. W. In Proc American Medical Informatics Association Symposium, pages 1005, 2010.
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  2009 (4)
Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning. Jordan, P.; Litman, D. J.; Lipschultz, M.; and Drummond, J. In AIED, pages 125--132, 2009.
Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning. [link]Paper   bibtex
Knowledge Co-construction and Initiative in Peer Learning Interactions. Kersey, C.; Di Eugenio, B.; Jordan, P. W.; and Katz, S. In AIED, pages 325--332, 2009.
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KSC-PaL: A peer learning agent that encourages students to take the initiative. Kersey, C.; Di Eugenio, B.; Jordan, P.; and Katz, S. In Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications, pages 55--63, 2009. Association for Computational Linguistics
KSC-PaL: A peer learning agent that encourages students to take the initiative [link]Paper   bibtex
To Elicit or to Tell: Does it matter?. Chi, M.; Jordan, P.; VanLehn, K.; and Litman, D. In Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, volume 200, pages 197, 2009. IOS Press
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  2008 (3)
Minimal Feedback During Tutorial Dialogue. Jordan, P.; and Litman, D. In Proceedings of the Intelligent Tutoring Systems 9th International Conference, ITS 2008, pages 671-673, 2008.
Minimal Feedback During Tutorial Dialogue [pdf]Paper   bibtex
Reinforcement Learning based Feature Selection For Developing Pedagogically Effective Tutorial Dialogue Tactics. Chi, M.; Jordan, P.; VanLehn, K.; and Hall, M. In Educational Data Mining 2008, 2008.
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Modeling knowledge co-construction for peer learning interactions. Kersey, C.; Di Eugenio, B.; Jordan, P. W.; and Katz, S. In Proc. Ninth Int?l Conf. Intelligent Tutoring Systems, Student Research Workshop (ITS08), 2008.
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  2007 (5)
Developing pedagogically effective tutorial dialogue tactics: Experiments and a testbed. VanLehn, K.; Jordan, P.; and Litman, D. In Proceedings of SLaTE Workshop on Speech and Language Technology in Education, 2007.
Developing pedagogically effective tutorial dialogue tactics: Experiments and a testbed [link]Paper   bibtex
Tools for authoring a dialogue agent that participates in learning studies. Jordan, P. W.; Hall, B.; Ringenberg, M.; Cui, Y.; and Rosé, C. In Proceedings of AIED 2007, pages 43--50, 2007.
Tools for authoring a dialogue agent that participates in learning studies [pdf]Paper   bibtex
When are tutorial dialogues more effective than reading?. VanLehn, K.; Graesser, A.; Jackson, G.; Jordan, P.; Olney, A.; and Rosé, C. Cognitive Science, 31(1): 3-62. 2007.
When are tutorial dialogues more effective than reading? [link]Paper   bibtex
Topic Initiative in a Simulated Peer Dialogue Agent. Jordan, P. W. In Proceedings of Artificial Intelligence in Education, AIED 2007, pages 581-583, 2007.
Topic Initiative in a Simulated Peer Dialogue Agent [pdf]Paper   bibtex
Collaboration in Peer Learning Dialogues. Kersey, C.; Di Eugenio, B.; Jordan, P.; and Katz, S. In DECALOG - The 2007 Workshop on the Semantics and Pragmatics of Dialogue, 2007.
Collaboration in Peer Learning Dialogues [pdf]Paper   bibtex
  2006 (4)
A Natural Language Tutorial Dialogue System for Physics. Jordan, P.; Makatchev, M.; Pappuswamy, U.; VanLehn, K.; and Albacete, P. In Proceedings of 19th International FLAIRS Conference, 2006.
A Natural Language Tutorial Dialogue System for Physics [link]Paper   bibtex
Rapidly Developing Dialogue Systems that Support Learning Studies. Jordan, P. W.; Ringenberg, M.; and Hall, B. In Proceedings of ITS06 Workshop on Teaching with Robots, Agents, and NLP, 2006.
Rapidly Developing Dialogue Systems that Support Learning Studies [link]Paper   bibtex
Representation and Reasoning for Deeper Natural Language Understanding in a Physics Tutoring System. Makatchev, M.; VanLehn, K.; Jordan, P. W.; and Pappuswamy, U. In Proceedings of the 19th International FLAIRS Conference, pages 682--687, 2006.
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Understanding complex natural language explanations in tutorial applications. Jordan, P. W; Makatchev, M.; and Pappuswamy, U. In Proceedings of the Third Workshop on Scalable Natural Language Understanding, pages 17--24, 2006. Association for Computational Linguistics
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  2005 (9)
Taking Control of Redundancy in Scripted Tutorial Dialogue. Jordan, P.; Albacete, P.; and VanLehn, K. In Proceedings of Int. Conference on Artificial Intelligence in Education, AIED2005, pages 314--321, July 2005. IOS Press
Taking Control of Redundancy in Scripted Tutorial Dialogue [link]Paper   bibtex
Resolving discourse deictic anaphors in tutorial dialogues. Pappuswamy, U.; Jordan, P. W.; and VanLehn, K. In Proceedings of Workshop on Constraints in Discourse, pages 96-103, 2005. Dortmund University, Germany
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A Supervised Clustering Method for Text Classification. Pappuswamy, U.; Bhembe, D.; Jordan, P.; and VanLehn, K. In Proceedings of Computational Linguistics and Intelligent Text Processing: 6th International Conference, volume 3406, of LNCS, pages 704--714, 2005.
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A Multi-Tier NL-Knowledge Clustering for Classifying Students' Essays. Pappuswamy, U.; Bhembe, D.; Jordan, P. W.; and VanLehn, K. In Proceedings of 18th International FLAIRS Conference, 2005.
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When is reading just as effective as one-on-one interactive human tutoring?. VanLehn, K.; Graesser, A. C.; Jackson, G.; Jordan, P.; Olney, A.; and Rosé, C. In Proceedings of CogSci2005, 2005.
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Learning Content Selection Rules for Generating Object Descriptions in Dialogue. Jordan, P.; and Walker, M. Journal of Artificial Intelligence Research, 24: 157-194. 2005.
Learning Content Selection Rules for Generating Object Descriptions in Dialogue [pdf]Paper   bibtex
Relating Student Text to Formal Proofs: Issues of Presuppositions and Efficiency of Expression. Jordan, P. W.; Makatchev, M.; and Pappuswamy, U. In Proceedings of the Workshop on Mixed Language Explanations in Learning Environments, July 2005. IOS Press
Relating Student Text to Formal Proofs: Issues of Presuppositions and Efficiency of Expression [link]Paper   bibtex
Mixed Language Processing in the Why2-Atlas Tutoring System. Makatchev, M.; Hall, B.; Jordan, P. W.; Pappuswamy, U.; and VanLehn, K. In Proceedings of the Workshop on Mixed Language Explanations in Learning Environments, Submitted, July 2005. IOS Press
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Proceedings of AIED Workshop on Mixed Language Explanations in Learning Environments. Makatchev, M.; Jordan, P.; and Wiemer-Hastings, P. 2005.
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  2004 (6)
Abductive Theorem Proving for Analyzing Student Explanations and Guiding Feedback in Intelligent Tutoring Systems. Makatchev, M.; Jordan, P.; and VanLehn, K. Journal of Automated Reasoning: Special Issue on Automated Reasoning and Theorem Proving in Education, 32(3): 187--226. 2004.
Abductive Theorem Proving for Analyzing Student Explanations and Guiding Feedback in Intelligent Tutoring Systems [pdf]Paper   bibtex
Proofs as Models of Students' Reasoning about Qualitative Physics. Makatchev, M.; Jordan, P.; Pappuswamy, U.; and VanLehn, K. In Proceedings of International Conference on Cognitive Modelling, pages 166-171, Mahwah, New Jersey, 2004. Lawrence Erlbaum Associates Publishers
Proofs as Models of Students' Reasoning about Qualitative Physics [link]Paper   bibtex
Abductive Proofs as Models of Students' Reasoning about Qualitative Physics. Makatchev, M.; Jordan, P. W.; Pappuswamy, U.; and VanLehn, K. In Proceedings of the 18th International Workshop on Qualitative Reasoning, pages 11--18, Evanston, Illinois, USA, 2004.
Abductive Proofs as Models of Students' Reasoning about Qualitative Physics [link]Paper   bibtex
Modeling Students' Reasoning about Qualitative Physics: Heuristics for Abductive Proof Search. Makatchev, M.; Jordan, P. W.; and VanLehn, K. In Proceedings of Intelligent Tutoring Systems Conference, volume 3220, of LNCS, pages 699--709, Maceió, Alagoas, Brazil, 2004. Springer
Modeling Students' Reasoning about Qualitative Physics: Heuristics for Abductive Proof Search [link]Paper   bibtex
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System. Jordan, P. W.; Makatchev, M.; and VanLehn, K. In Proceedings of Intelligent Tutoring Systems Conference, volume 3220, of LNCS, pages 346--357, Maceió, Alagoas, Brazil, 2004. Springer
Combining Competing Language Understanding Approaches in an Intelligent Tutoring System [link]Paper   bibtex
Using Student Explanations as Models for Adapting Tutorial Dialogues. Jordan, P. W. In Proceedings of 17th International FLAIRS Conference, 2004.
Using Student Explanations as Models for Adapting Tutorial Dialogues [pdf]Paper   bibtex
  2003 (3)
Abductive Theorem Proving for Analyzing Student Explanations. Jordan, P.; Makatchev, M.; and VanLehn, K. In Proceedings of International Conference on Artificial Intelligence in Education, pages 73--80, Sydney, Australia, 2003. IOS Press
Abductive Theorem Proving for Analyzing Student Explanations [pdf]Paper   bibtex
Feature Sharing in the Generation and Interpretation of Nominals in Dialogue. Jordan, P. W. In Proceedings of AAAI Spring Symposium on Natural Language Generation in Spoken and Written Dialogue, 2003.
Feature Sharing in the Generation and Interpretation of Nominals in Dialogue [pdf]Paper   bibtex
Extended Explanations as Student Models for Guiding Tutorial Dialogue. Jordan, P.; Makatchev, M.; and Pappuswamy, U. In Proceedings of AAAI Spring Symposium on Natural Language Generation in Spoken and Written Dialogue, pages 65--70, 2003.
Extended Explanations as Student Models for Guiding Tutorial Dialogue [pdf]Paper   bibtex
  2002 (5)
Tag-sets for the generation of nominals in collaborative dialogue. Jordan, P. W. December 2002. Presented at ISLE Workshop on Dialogue Tagging for Multi-Modal Human Computer Interaction, University of Edinburgh
Tag-sets for the generation of nominals in collaborative dialogue [pdf]Paper   bibtex
Contextual Influences on Attribute Selection for Repeated Descriptions. Jordan, P. W. In van Deemter, K.; and Kibble, R., editor(s), Information Sharing: Reference and Presupposition in Language Generation and Interpretation, pages 295-328. CSLI Publications, 2002.
Contextual Influences on Attribute Selection for Repeated Descriptions [pdf]Paper   bibtex   buy
Discourse Processing for Explanatory Essays in Tutorial Applications. Jordan, P.; and VanLehn, K. In Proceedings of the 3rd SIGdial Workshop on Discourse and Dialogue, July 2002.
Discourse Processing for Explanatory Essays in Tutorial Applications [pdf]Paper   bibtex
Student Initiative and Questioning Strategies in Computer-Mediated Human Tutoring Dialogues. Jordan, P.; and Siler, S. In Proceedings of ITS 2002 Workshop on Empirical Methods for Tutorial Dialogue Systems, 2002.
Student Initiative and Questioning Strategies in Computer-Mediated Human Tutoring Dialogues [pdf]Paper   bibtex
The architecture of Why2-Atlas: A coach for qualitative physics essay writing. VanLehn, K.; Jordan, P. W.; Rosé, C.; Bhembe, D.; Böttner, M.; Gaydos, A.; Makatchev, M.; Pappuswamy, U.; Ringenberg, M.; Roque, A.; Siler, S.; Srivastava, R.; and Wilson, R. In Proceedings of the Intelligent Tutoring Systems Conference, 2002.
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  2001 (3)
Tools for Authoring Tutorial Dialogue Knowledge. Jordan, P.; Rosé, C.; and VanLehn, K. In Proceedings of AI in Education 2001 Conference, 2001.
Tools for Authoring Tutorial Dialogue Knowledge [link]Paper   bibtex
Intelligent Tutoring Systems with Conversational Dialogue. Graesser, A. C.; VanLehn, K.; Rosé, C. P.; Jordan, P. W.; and Harter, D. AI Magazine, 22(4). 2001.
Intelligent Tutoring Systems with Conversational Dialogue [link]Paper   bibtex
Interactive Conceptual Tutoring in Atlas-Andes. Rosé, C.; Jordan, P.; Ringenberg, M.; Siler, S.; VanLehn, K.; and Weinstein, A. In Proceedings of AI in Education 2001 Conference, 2001.
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  2000 (7)
The Agreement Process: An Empirical Investigation of Human-human Computer-mediated Collaborative Dialogues. Di Eugenio, B.; Jordan, P. W.; Thomason, R. H.; and Moore, J. D. International Journal of Human-Computer Studies, 53(6): 1017-1076. December 2000.
The Agreement Process: An Empirical Investigation of Human-human Computer-mediated Collaborative Dialogues [pdf]Paper   bibtex
Can Nominal Expressions Achieve Multiple Goals?: An Empirical Study. Jordan, P. W. In Proceedings of Association for Computational Linguistics, October 2000.
Can Nominal Expressions Achieve Multiple Goals?: An Empirical Study [link]Paper   bibtex
Influences on Attribute Selection in Redescriptions: A Corpus Study. Jordan, P. In Proceedings of CogSci2000, August 2000.
Influences on Attribute Selection in Redescriptions: A Corpus Study [pdf]Paper   bibtex
Intentional Influences on Object Redescriptions in Dialogue: Evidence from an Empirical Study. Jordan, P. Ph.D. Thesis, Intelligent Systems Program, University of Pittsburgh, 2000.
Intentional Influences on Object Redescriptions in Dialogue: Evidence from an Empirical Study [pdf]Paper   bibtex
Learning Attribute Selections for Non-Pronominal Expressions. Jordan, P.; and Walker, M. In Proceedings of Association for Computational Linguistics 2000, October 2000.
Learning Attribute Selections for Non-Pronominal Expressions [pdf]Paper   bibtex
Fading and deepening: The next steps for ANDES and other Model-tracing tutors. VanLehn, K.; Freedman, R.; Jordan, P.; Murray, C.; Oran, C.; Ringenberg, M.; Rosé, C.; Schultze, K.; Shelby, R.; Treacy, D.; Weinstein, A.; and Wintersgill, M. In Proceedings of the Intelligent Tutoring Systems Conference, 2000.
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Instructions for Coding Object Attributes, Intentions and Contextual Constraints. Jordan, P. W. 2000.
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  1999 (2)
An Empirical Study of the Communicative Goals Impacting Nominal Expressions. Jordan, P. W. In Proceedings of the ESSLLI workshop on The Generation of Nominal Expressions, 1999.
An Empirical Study of the Communicative Goals Impacting Nominal Expressions [link]Paper   bibtex
A Survey of Current Paradigms in Machine Translation. Dorr, B. J.; Jordan, P. W.; and Benoit, J. W. In Zelkowitz, M. V., editor(s), Advances in Computers, volume 49, pages 2-68. Academic Press, 1999.
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  1998 (3)
An empirical investigation of collaborative dialogues. Di Eugenio, B.; Jordan, P. W.; Moore, J. D.; and Thomason, R. H. In ACL-COLING98, Proceedings of the Thirty-sixth Conference of the Association for Computational Linguistics, Montreal, Canada, August 1998.
An empirical investigation of collaborative dialogues [pdf]Paper   bibtex
The COCONUT project: Dialogue annotation manual. Di Eugenio, B.; Jordan, P. W.; and Pylkkänen, L. Technical Report ISP Technical Report 98-1, University of Pittsburgh, December 1998.
The COCONUT project: Dialogue annotation manual [pdf]Paper   bibtex
A survey of current paradigms in machine translation. Dorr, B. J.; Jordan, P. W.; and Benoit, J. W. Technical Report DTIC Document, 1998.
A survey of current paradigms in machine translation [link]Paper   bibtex
  1997 (2)
Control and Initiative in Collaborative Problem Solving Dialogues. Jordan, P. W.; and Di Eugenio, B. In Computational Models for Mixed Initiative Interaction. Papers from the 1997 AAAI Spring Symposium. Technical Report SS-97-04, pages 81--84, 1997. The AAAI Press
Control and Initiative in Collaborative Problem Solving Dialogues [pdf]Paper   bibtex
Reconstructed Intentions in Collaborative Problem Solving Dialogues. Di Eugenio, B.; Jordan, P. W.; Thomason, R. H.; and Moore, J. D. In Traum, D., editor(s), Working Notes: AAAI Fall Symposium on Communicative Action in Humans and Machiness, pages 36--42, Menlo Park, California, 1997. AAAI, American Association for Artificial Intelligence
Reconstructed Intentions in Collaborative Problem Solving Dialogues [pdf]Paper   bibtex
  1996 (3)
Refining the Categories of Miscommunication. Jordan, P. W.; and Thomason, R. H. In Proceedings of AAAI Workshop on Detecting, Repairing, and Preventing Human-machine Miscommunication, CA, 1996. AAAI Press
Refining the Categories of Miscommunication [pdf]Paper   bibtex
Deciding to Remind During Collaborative Problem Solving: Empirical Evidence for Agent Strategies. Jordan, P. W.; and Walker, M. A. In Shrobe, H.; and Senator, T., editor(s), Proceedings of the Thirteenth National Conference on Artificial Intelligence and the Eighth Innovative Applications of Artificial Intelligence Conference, Vol. 2, pages 16--23, Menlo Park, California, 1996. American Association for Artificial Intelligence, AAAI Press
Deciding to Remind During Collaborative Problem Solving: Empirical Evidence for Agent Strategies [pdf]Paper   bibtex
Using Terminological Knowledge Representation Languages to Manage Linguistic Resources. Jordan, P. W. In Proceedings of Association for Computational Linguistics, Student Session, pages 366-368, June 1996.
Using Terminological Knowledge Representation Languages to Manage Linguistic Resources [pdf]Paper   bibtex
  1995 (4)
Empirical Methods in Discourse: Limits and Prospects. Thomason, R. H.; and Jordan, P. W. In AAAI Spring Symposium on Empirical Methods in Discourse Interpretation and Generation, CA, 1995. AAAI Press
Empirical Methods in Discourse: Limits and Prospects [pdf]Paper   bibtex
Design-World: A testbed of communicative action and resource limits. Walker, M. A.; and Jordan, P. W. ACM SIGART Special Issue on Artificial Intelligence Education edited by Kumar & Hearst, 6(2). 1995.
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Multi-Agent Resource Sensitive Communication. Jordan, P. W.; and Walker, M. A. In Proceedings of the AAAI Fall Symposium on Rational Agency: Concepts, Theories, Models, and Applications, Cambridge, MA, November 1995.
Multi-Agent Resource Sensitive Communication [pdf]Paper   bibtex
Multi-level Coordination in a Computer-Mediated Conversation. Jordan, P.; and Moser, M. 1995. Presented at GLS 1995: Developments in Discourse Analysis
Multi-level Coordination in a Computer-Mediated Conversation [link]Paper   bibtex
  1994 (3)
Coping with ambiguity in a large-scale machine translation system. Baker, K. L.; Franz, A. M.; Jordan, P. W.; Mitamura, T.; and Nyberg, E. H. In Proceedings of the 15th conference on Computational linguistics-Volume 1, pages 90--94, 1994. Association for Computational Linguistics
Coping with ambiguity in a large-scale machine translation system [pdf]Paper   bibtex
Determining the Temporal Ordering of Events in Discourse. Jordan, P. W. 1994. Masters thesis for Carnegie Mellon Computational Linguistics Program
Determining the Temporal Ordering of Events in Discourse [link]Paper   bibtex
Coping With Ambiguity in Knowledge-based Natural Language Analysis. Baker, K. L.; Franz, A. M.; and Jordan, P. W. In Proceedings of the 8th International FLAIRS Conference, 1994.
Coping With Ambiguity in Knowledge-based Natural Language Analysis [pdf]Paper   bibtex
  1993 (1)
A first-pass approach for evaluating machine translation systems. Jordan, P. W.; Dorr, B. J.; and Benoit, J. W. Machine Translation, 8(1-2): 49--58. 1993.
A first-pass approach for evaluating machine translation systems [pdf]Paper   bibtex
  1991 (1)
Machine Translation Action Plan. Benoit, J. W.; Jordan, P. W.; and Dorr, B. J. Technical Report Technical Report MP-91W00023, The Mitre Corporation, 1991.
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  1990 (1)
A constraint directed approach for communication network design/planning. Jordan, P. W.; and Lusher, E. P In AI Systems in Government Conference, 1990. Proceedings., Fifth Annual, pages 40--45, 1990. IEEE
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  1989 (2)
Software storming: combining rapid prototyping and knowledge engineering. Jordan, P. W.; Keller, K. S.; Tucker, R. W.; and Vogel, D. Computer, 22(5): 39--48. 1989.
Software storming: combining rapid prototyping and knowledge engineering [link]Paper   bibtex
A software storming approach to rapid prototyping. Bonasso, R P.; Nugent, R. O.; Jordan, P. W.; Tucker, R. W.; Keller, K. S.; and Vogel, D. In System Sciences, 1989. Vol. II: Software Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on, volume 2, pages 368--376, 1989. IEEE
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  1988 (1)
Integrating Plans and Scripts: an Expert System for Indications and Warning. Benoit, J. W.; Dombroski, E. J; Jordan, P. W.; and Laskowski, S. J In 1988 Tri-Service Data Fusion Symposium, pages 445--452, 1988. DTIC Document
Integrating Plans and Scripts: an Expert System for Indications and Warning [link]Paper   bibtex