Publications

Publications

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Selected Works

Alignment in Web-based Dialogue: Who Aligns, and how Automatic is it? Studies in Big-Data Computational Psycholinguistics Big Data in Cognitive Science (2017)
Reitter, D. (2017). Alignment in Web-based Dialogue: Who Aligns, and how Automatic is it? Studies in Big-Data Computational Psycholinguistics. In M. N. Jones (Ed.), Big Data in Cognitive Science. Routledge Psychology Press.
Entropy converges between dialogue participants: explanations from an information-theoretic perspective ACL (2016)
Xu, Y., & Reitter, D. (2016). Entropy converges between dialogue participants: explanations from an information-theoretic perspective. In Proc. 64th Annual Mtg. of the Association for Computational Linguistics (pp. 537–546). Berlin, Germany: Association for Computational Linguistics.
Online learning of deep hybrid architectures for semi-supervised categorization ECML PKDD (2015)
Ororbia II, A. G., Reitter, D., Wu, J., & Giles, C. L. (2015). Online learning of deep hybrid architectures for semi-supervised categorization. In Machine Learning and Knowledge Discovery in Databases (Proceedings, ECML PKDD 2015) (Vol. 9284, pp. 516–532). Porto, Portugal: Springer.
Alignment and task success in spoken dialogue J Mem Lang (2014)
Reitter, D., & Moore, J. D. (2014). Alignment and task success in spoken dialogue. Journal of Memory and Language, 76, 29–46. https://doi.org/10.1016/j.jml.2014.05.008
How groups develop a specialized domain vocabulary: A cognitive multi-agent model J Cog Sys Res (2011)
Reitter, D., & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12(2), 175–185.
A computational cognitive model of syntactic priming J Cog Sci (2011)
Reitter, D., Keller, F., & Moore, J. D. (2011). A computational cognitive model of syntactic priming. Cognitive Science, 35(4), 587–637. https://doi.org/10.1111/j.1551-6709.2010.01165.x

In Review and To Appear

Reitter, D., & Grossklags, J. (in review). Timing Decisions: How Individual Differences and Task Perception Affect Choices.
Xu, Y., & Reitter, D. (in review). Alignment Follows the Signals of Linguistic Power, but Not Social Power.
Ghafurian, M., & Reitter, D. (in review). Impatience in Dynamic Decision Making.
Ororbia II, A. G., Mikolov, T., & Reitter, D. (in review). Learning Simpler Language Models with the Delta Recurrent Neural Network Framework.
Xu, Y., & Reitter, D. (accepted pending revisions). Entropy in conversation: Towards an information-theoretic model of dialogue. Cognition, 45 pages.

Refereed Works by Area

Language, Priming and Alignment

Reitter, D. (2017). Alignment in Web-based Dialogue: Who Aligns, and how Automatic is it? Studies in Big-Data Computational Psycholinguistics. In M. N. Jones (Ed.), Big Data in Cognitive Science. Routledge Psychology Press.
Xu, Y., & Reitter, D. (2016). Entropy converges between dialogue participants: explanations from an information-theoretic perspective. In Proc. 64th Annual Mtg. of the Association for Computational Linguistics (pp. 537–546). Berlin, Germany: Association for Computational Linguistics.
Xu, Y., & Reitter, D. (2016). Convergence of Syntactic Complexity in Conversation. In Proc. 64th Annual Mtg. of the Association for Computational Linguistics (pp. 443–448). Berlin, Germany: Association for Computational Linguistics.
Ororbia II, A. G., Giles, C. L., & Reitter, D. (2015). Learning a deep hybrid model for semi-supervised text classification. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP). Lisbon, Portugal.
Wang, Y., Yen, J., & Reitter, D. (2015). Pragmatic alignment on social support type in health forum conversations. In Proc. Cognitive Modeling and Computational Linguistics (CMCL) (pp. 9–18). Denver, CO: Association for Computational Linguistics.
Xu, Y., & Reitter, D. (2015). An evaluation and comparison of linguistic alignment measures. In Proc. Cognitive Modeling and Computational Linguistics (CMCL) (pp. 58–67). Denver, CO: Association for Computational Linguistics.
Reitter, D., & Moore, J. D. (2014). Alignment and task success in spoken dialogue. Journal of Memory and Language, 76, 29–46. https://doi.org/10.1016/j.jml.2014.05.008
Wang, Y., Reitter, D., & Yen, J. (2014). Linguistic adaptation in online conversation threads: analyzing alignment in online health communities. In Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics. Workshop at the Mtg. of the Association for Computational Linguistics (pp. 55–62). Baltimore, Maryland, USA.
Hale, J., & Reitter, D. (Eds.). (2013). Issue on computational models of natural language. Topics in Cognitive Science, 5(3), (11 papers). https://doi.org/10.1111/tops.12038
Reitter, D., Keller, F., & Moore, J. D. (2011). A computational cognitive model of syntactic priming. Cognitive Science, 35(4), 587–637. https://doi.org/10.1111/j.1551-6709.2010.01165.x
Keller, F., & Reitter, D. (Eds.). (2011). Proc. 2nd workshop on cognitive modeling and computational linguistics. Portland, OR, USA: Association for Computational Linguistics.
Reitter, D., & Keller, F. (2007). Against sequence priming: evidence from constituents and distituents in corpus data. In Proceedings of the 29th Annual Conference of the Cognitive Science Society (CogSci) (pp. 1421–1426). Nashville, TN: Cognitive Science Society.
Reitter, D., & Moore, J. D. (2007). Predicting success in dialogue. In Proc. 45th Annual Meeting of the Association of Computational Linguistics (pp. 808–815). Prague, Czech Republic.
Dzikovska, M. O., Reitter, D., Moore, J. D., & Zinn, C. (2006). Data-driven modelling of human tutoring in calculus. In C. Callaway (Ed.), Proceedings of the ECAI Workshop on Language-Enhanced Educational Technology (pp. 22–28). Riva del Garda, Italy.
Reitter, D., Moore, J. D., & Keller, F. (2006). Priming of syntactic rules in task-oriented dialogue and spontaneous conversation. In Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci) (pp. 685–690). Vancouver, Canada: Cognitive Science Society.
Reitter, D., Hockenmaier, J., & Keller, F. (2006). Priming effects in combinatory categorial grammar. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 308–316). Sydney, Australia.
Reitter, D., Keller, F., & Moore, J. D. (2006). Computational modeling of structural priming in dialogue. In Proceedings of the Human Language Technology Conference/North American Chapter of the Association for Computational Linguistics (HLT/NAACL) (pp. 121–124). New York, NY.
Hachey, B., Murray, G., & Reitter, D. (2006). Dimensionality reduction aids term co-occurrence based multi-document summarization. In Proceedings of the COLING-ACL Workshop Task-Focused Summarization and Question Answering 2006 (pp. 1–7). Sydney, Australia.
Dolfing, H., Reitter, D., Almeida, L., Beires, N., Cody, M., Gomes, R., … Zielinski, R. (2005). The FASiL speech and multimodal corpora. In Proceedings INTER/EUROSPEECH 2005. Lisbon, Portugal.
Reitter, D. (2003). Simple signals for complex rhetorics: on rhetorical analysis with rich-feature support vector models. Journal for Language Technology and Computational Linguistics, 18(1/2), 38–52.
Reitter, D., & Stede, M. (2003). Step by step: underspecified markup in incremental rhetorical analysis. In Proceedings of the 4th International Workshop on Linguistically Interpreted Corpora (LINC-03) (at EACL 2003) (pp. 77–84). Budapest, Hungary.

Decision-Making and Cognitive Security

Ghafurian, M., & Reitter, D. (2016). Gender differences in the effect of impatience on men and women’s timing decisions. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society (CogSci) (pp. 1223–1228). Philadelphia, PA: Cognitive Science Society.
Ghafurian, M., & Reitter, D. (2016). Impatience induced by waiting: An effect moderated by the speed of countdowns. In DIS ’16: Proceedings of the Designing Interactive Systems. Brisbane, Australia: ACM.
Reitter, D., Ghafurian, M., & Grossklags, J. (2016). Systematic, Individual and Situational Biases in Timing Decisions. Oral presentation presented at the International Meeting of the Psychonomic Society, Grenada, Spain.
Grossklags, J., & Reitter, D. (2014). How task familiarity and cognitive predispositions impact behavior in a security game of timing. In Proceedings of the 27th IEEE Computer Security Foundations Symposium (pp. 111–122). Vienna.
Ghafurian, M., & Reitter, D. (2014). Impatience, risk propensity and rationality in timing games. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (CogSci) (pp. 2841–2846). Quebec, Canada.
Reitter, D., Grossklags, J., & Nochenson, A. (2013). Risk-seeking in a continuous game of timing. In R. West & T. Stewart (Eds.), Proc. 12th International Conference on Cognitive Modelling (pp. 397–403). Ottawa, Canada.
Gluck, K. A., Stanley, C. T., L. Richard Moore, J., Reitter, D., & Halbrügge, M. (2010). Exploration for understanding in model comparisons. Journal of Artificial General Intelligence, 2(2), 88–107.
Reitter, D. (2010). Metacognition and multiple strategies in a cognitive model of online control. Journal of Artificial General Intelligence, 2(2), 20–37.
Reitter, D., Juvina, I., Stocco, A., & Lebiere, C. (2010). Resistance is futile: winning lemonade market share through metacognitive reasoning in a three-agent cooperative game. In Proceedings of the 19th Behavior Representation in Modeling & Simulation Conference (BRIMS). Charleston, SC.

Computational Social Science

Xu, K. S., Reitter, D., Lee, D., & Osgood, N. (Eds.). (2016). Social, Cultural, and Behavioral Modeling.  9th International Conference, SBP-BRiMS 2016. Switzerland: Springer.
D’Orazio, V., Kenwick, M., Lane, M., Palmer, G., & Reitter, D. (2016). Crowdsourcing the measurement of interstate conflict. PLOS ONE, 11(6), e0156527. https://doi.org/10.1371/journal.pone.0156527
Cole, J., Xu, Y., & Reitter, D. (2016). How people talk about armed conflicts: An analysis of Reddit data. In Social, Cultural, and Behavioral Modeling. Washington, D.C.: Springer.
Reitter, D., & Scerri, P. (2013). Smooth dynamics, good performance in cognitive-agent congestion problems. In Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci) (pp. 3269–3274). Berlin, Germany: Cognitive Science Society.
Scerri, P., & Reitter, D. (2013). Cognitive instance-based learning agents in a multi-agent congestion game. In Workshop on Information Sharing in Large Scale Multi-Agent Systems, at AAMAS 2013.
Reitter, D., & Scerri, P. (2012). Social multi-agent learning with simple and cognitive agents. Poster presented at the CAOSS 2012: Workshop on Computational and Online Social Science, New York, N.Y.
Diesner, J., & Reitter, D. (Eds.). (2012). Proc. Words and Networks 2012: Language Use in Socio-Technical Networks (WON2012). Chicago, IL: Association for Computing Machinery.
Reitter, D., & Lebiere, C. (2012). Social cognition: memory decay and adaptive information filtering for robust information maintenance. In Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12) (pp. 242–248).
Reitter, D. (2012). Lexical language evolution in networked human groups. In Words and Networks: Language Use in Socio-Technical Networks (WON 2012). Chicago, IL.
Reitter, D., & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12(2), 175–185.
Reitter, D., Sycara, K., Lebiere, C., Vinokurov, Y., Juarez, A., & Lewis, M. (2011). How teams benefit from communication policies: information flow in human peer-to-peer networks. In Proceedings of the 20th Behavior Representation in Modeling & Simulation Conference (BRIMS) (pp. 138–145). Sundance, UT.
Reitter, D., & Lebiere, C. (2010). Did social networks shape language evolution? A multi-agent cognitive simulation. In Proc. Cognitive Modeling and Computational Linguistics Workshop (CMCL) (pp. 9–17). Uppsala, Sweden: Association for Computational Linguistics.
Reitter, D., & Lebiere, C. (2009). Towards explaining the evolution of domain languages with cognitive simulation. In Proceedings of the 9th International Conference on Cognitive Modeling (ICCM). Manchester, UK: 8 pages.

Refereed Work on Other Topics

Reitter, D., & Ritter, F. E. (2017). Introduction to the Issue on Computational Models of Memory: Selected Papers From the International Conference on Cognitive Modeling. Topics in Cognitive Science, 9(1), 48–50. https://doi.org/10.1111/tops.12249
Cole, J., Reitter, D., & Liu, Y. (2016). Symmetry features and group hierarchy model human symmetry perception. Poster presentation presented at the International Meeting of Psychonomic Society, Grenada, Spain.
Liu, Y., Cole, J., & Reitter, D. (2016). Human Visual Perception of the 17 Wallpaper-Group Patterns using Timed Trials. Oral presentation presented at the Vision Sciences Society Sixteenth Annual Meeting, Florida.
Kennedy, W. G., St. Amant, R., & Reitter, D. (2016). Behavior representation in modeling and simulation: introduction to CMOT special issue: BRiMS 2013. Computational and Mathematical Organization Theory, 22(1), 1–3.
Ororbia II, A. G., Reitter, D., Wu, J., & Giles, C. L. (2015). Online learning of deep hybrid architectures for semi-supervised categorization. In Machine Learning and Knowledge Discovery in Databases (Proceedings, ECML PKDD 2015) (Vol. 9284, pp. 516–532). Porto, Portugal: Springer.
Paik, J., Kim, J. W., Ritter, F. E., & Reitter, D. (2015). Predicting user performance and learning in human-computer interaction with the Herbal compiler. ACM Transactions on Computer-Human Interaction, 22(5), Article No. 25.
Ororbia II, A. G., Xu, Y., D’Orazio, V., & Reitter, D. (2015). Error-correction and aggregation in crowd-sourcing of geopolitical incident information. In N. Agarwal, K. Xu, & N. Osgood (Eds.), Social Computing, Behavioral Modeling and Prediction (Vol. 9021, pp. 381–387). Springer.
Reitter, D., Stacy, E. W., & Mezzacappa, E. (Eds.). (2015). Proceedings of the 24th Annual Conference on Behavior Representation in Modeling and Simulation. Washington, D.C.: BRiMS Society.
Reitter, D., Xu, Y., Craven, P., Sándor, A., Garrett, R. C., Cross, E. V., & Franke, J. L. (2015). Cognitive models predicting surprise in robot operators. In Proc. International Conference on Cognitive Modeling (p. Poster Abstract). Groningen, Netherlands.
Reitter, D. (2014). Hungry wolves, creepy sheepies: the gamification of the programmer’s classroom. In J. M. Carroll (Ed.), Innovative Practices in Teaching Information Sciences and Technology (pp. 19–29). Springer.
St.Amant, R., Reitter, D., & Stacy, E. W. (Eds.). (2014). Proceedings of the 23rd Annual Conference on Behavior Representation in Modeling and Simulation. Washington, D.C.: BRiMS Society.
Kennedy, W. G., Reitter, D., & Amant, R. S. (Eds.). (2013). Proceedings of the 22rd Annual Conference on Behavior Representation in Modeling and Simulation. Ottawa, Canada: BRiMS Society.
Reitter, D., & Levy, R. (Eds.). (2012). Proc. 3rd Workshop on Cognitive Modeling and Computational Linguistics. Montréal, Quebec, Canada: Association for Computational Linguistics.
Schaffer, S., & Reitter, D. (2012). Modeling efficiency-guided modality choice in voice and graphical user interfaces. In N. Russwinkel, U. Drewitz, & H. van Rijn (Eds.), Proceedings of the 11th International Conference on Cognitive Modeling (ICCM) (pp. 253–254). Berlin: Universitaetsverlag der TU Berlin.
Reitter, D., & Lebiere, C. (2011). Towards cognitive models of communication and group intelligence. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (CogSci) (pp. 734–739). Boston, MA: Cognitive Science Society.
Reitter, D., & Lebiere, C. (2010). A cognitive model of spatial path planning. Computational and Mathematical Organization Theory, 16(3), 220–245.
Warwick, W., Dutt, V., Gluck, K. A., & Reitter, D. (2010). Results and lessons learned from the 2009 DSF model comparison challenge. In Symposium at the 19th Behavior Representation in Modeling & Simulation Conference. Charleston, SC.
Lebiere, C., Stocco, A., Reitter, D., & Juvina, I. (2010). Scaling up high-fidelity cognitive modeling to real-world applications. In Proceedings of the NATO Workshop on Human Modeling for Military Application (pp. 1–20). Amsterdam, NL.
Reitter, D., & Lebiere, C. (2010). On the influence of network structure on language evolution. In R. Sun (Ed.), Proc. CogSci Workshop on Cognitive Social Sciences: Grounding the Social Sciences in the Cognitive Sciences. Portland, OR.
Reitter, D., & Lebiere, C. (2010). Accountable Modeling in ACT-UP, a Scalable, Rapid-Prototyping ACT-R Implementation. In Proceedings of the 10th International Conference on Cognitive Modeling (ICCM) (pp. 199–204). Philadelphia, PA.
Reitter, D., & Lebiere, C. (2009). A subsymbolic and visual model of spatial path planning. In Proc. 18th Behavior Representation in Modeling and Simulation Conference (BRiMS). Sundance, UT: 8 pages.
Reitter, D., Lebiere, C., Lewis, M., Wang, H., & Ma, Z. (2009). A cognitive model of visual path planning in a multi-robot control system. In Proceedings Systems Man Cybernetics 2009 (IEEE-SMC). San Antonio, TX: 7 pages.
Hachey, B., Murray, G., & Reitter, D. (2005). The Embra system at DUC 2005: Query-oriented multi-document summarization with a very large latent semantic space. In Document Understanding Conference 2005. Vancouver, Canada: 6 pages.
Reitter, D., Panttaja, E., & Cummins, F. (2004). UI on the fly: generating a multimodal user interface. In Proceedings of Human Language Technology Conference 2004 / North American chapter of the Association for Computational Linguistics (HLT/NAACL-04) (pp. 45–48). Boston, MA.
Reitter, D. (2004). A development environment for multimodal functional unification generation grammars. In Third International Conference on Natural Language Generation. 2nd Volume; posters. Brockenhurst, U.K.
Panttaja, E., Reitter, D., & Cummins, F. (2004). The evaluation of adaptable multimodal system outputs. In Proceedings of the DUMAS Workshop on Robust and Adaptive Information Processing for Mobile Speech Interfaces (pp. 69–76). Geneva, Switzerland.
Reitter, D. (Ed.). (2002). Proceedings of the 12th Student Conference on Computational Linguistics (TaCoS). Potsdam, Germany: University of Potsdam.
Berger, D., Reitter, D., & Stede, M. (2002). XML/XSL in the dictionary: the case of discourse markers. In Proceedings of the 2nd Workshop on NLP and XML (NLPXMP-2002), (at COLING 2002). Taipei, Taiwan.
Reitter, D. (2002). Statistical part-of-speech guessing for german: support vector classifiers versus voting. In Proceedings of the 12th Student Conference on Computational Linguistics (TaCoS). Potsdam, Germany.
Reitter, D., Covaci, S., Oltean, F., Bacanu, C., & Serbanuta, T. (2001). Hybrid natural language processing in a customer-care environment. In Proceedings of the 11th Student Conference on Computational Linguistics (TaCoS). Heidelberg, Germany.
Ororbia II, A. G., Giles, C. L., & Reitter, D. (under review). Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders.
Reitter, D., & Ritter, F. E. (Eds.). (n.d.). Proceedings of ICCM 2016: 14th International Conference on Cognitive Modeling. University Park, PA: Penn State.

Theses

Reitter, D. (2008). Context effects in language production: models of syntactic priming in dialogue corpora. University of Edinburgh.
Reitter, D. (2004). Hybrid planning and realization of coherent utterances for multimodal natural language dialogue systems. University College Dublin.
Reitter, D. (2003). Rhetorical analysis with rich-feature support vector models. University of Potsdam.

Talks (Without Paper)

Ororbia II, A. G. (2017, March). The Temporal Neural Coding Network: Towards Lifelong Language Learning. Presented at the 11th Annual Machine Learning Symposium, The New York Academy of Sciences.
Reitter, D., Gonzalez, C., Lebiere, C., & Meyer, J. (2014). Cognitive security. Panel presented at the 13th Annual Workshop on the Economics of Information Security, University Park, PA.
Anderson, R., Meyer, J., Moore, T., Randazzese, L., & Reitter, D. (Moderator). (2014). Human aspects of cybersecurity. Panel presented at the Department of Homeland Security Workshop on Incentives and Regulation of Cybersecurity, University Park, PA.
Reitter, D. (2014). Big-Data insights into cognitive representations of language processing. Invited Talk presented at the The 2nd International Workshop on Advanced Learning Sciences, Taipei, Taiwan.
D’Orazio, V., Kenwick, M., Lane, M., Palmer, G., & Reitter, D. (2014). Crowdsourcing the Measurement of Observational Data. Talk presented at the Annual Meeting of the International Studies Association, Toronto, Canada.
Reitter, D. (2013). Computational and underspecified approaches to standardization. Panel presented at the Methods for Communicating the Structure and Content of a Cognitive Model, at:Human Factors and Ergonomics Society International Annual Meeting, San Diego, CA.
Mason, W., Reitter, D., Coman, A., & Hirst, B. (2011). Cognition and social dynamics: a new approach to emergent phenomena. Talk presented at the Symposium at the 23rd Annual Convention of the Association for Psychological Science, Washington, D.C.
Gonzalez, C., Lebiere, C., Juvina, I., Erev, I., Zinkevich, M., & Reitter, D. (2011). Scaling individual decision making models to models of social networks. In Symposium at the 20th Behavior Representation in Modeling & Simulation (BRIMS). Provo, UT.
Lebiere, C., & Reitter, D. (2010). ACT-UP: A cognitive modeling toolkit for composition, reuse and integration. Talk presented at the MODSIM World Conference and Expo, Hampton, VA.
Reitter, D. (2009). Two-level, multi-strategy memory based control. Talk presented at the Dynamic Stocks and Flows Modeling Challenge Symposium (competition winner), International Conference on Cognitive Modeling (ICCM), Manchester, UK.
Reitter, D., & Keller, F. (2008). Structural priming in language production as the result of learning and spreading activation in an ACT-R model. Talk presented at the 21st Annual CUNY Conference on Human Sentence Processing, Chapel Hill, NC.
Reitter, D. (2008). The repetition of general lexical material boosts structural priming in language production. Poster presented at the 21st Annual CUNY Conference on Human Sentence Processing, Chapel Hill, NC.
Reitter, D., Keller, F., & Hockenmaier, J. (2007). Corpus-based evidence against sequence priming. Poster presented at the 20th Annual CUNY Conference on Human Sentence Processing, La Jolla, CA.
Reitter, D., & Moore, J. D. (2007). Successful dialogue requires syntactic alignment. Poster presented at the 20th Annual CUNY Conference on Human Sentence Processing, La Jolla, CA.
Reitter, D., & Callaway, C. (2006). Methods, requirements and licenses for shared nlg resources. In Open Mic Session, Fourth International Natural Language Generation Conference.
Reitter, D., Moore, J. D., & Keller, F. (2006). Corpus-based evidence for syntactic priming as rule repetition. Talk presented at the 12th Annual Conference on Architectures and Mechanisms for Language Processing, Nijmegen, Netherlands.
A zot_bib_web bibliography.