Publications

Publications

You can see citations and h-index metrics at Google Scholar.

Journal Articles and Refereed Conference Publications

  1. Kelly, M. A., Ghafurian, M., West, R. L., & Reitter, D. (2020). Indirect associations in learning semantic and syntactic lexical relationships. Journal of Memory and Language, 115, 104153. https://doi.org/https://doi.org/10.1016/j.jml.2020.104153
    Journal of Memory and Language
    J Mem Lang
  2. Ghafurian, M., Reitter, D., & Ritter, F. E. (2020). Countdown Timer Speed: A Trade-off between Delay Duration Perception and Recall. ACM Trans. Comput.-Hum. Interact., 27(2). https://doi.org/10.1145/3380961
    ACM Trans. Comput.-Hum. Interact.
    ToCHI
  3. Kelly, M. A., Arora, N., West, R. L., & Reitter, D. (2020). Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory. Cognitive Science. http://www.david-reitter.com/pub/kelly2020hdm_ms.pdf
    Cognitive Science
    J CogSci
  4. Cole, J. R., & Reitter, D. (2019). The Role of Working Memory in Syntactic Sentence Realization: A modeling and simulation approach. Cognitive Systems Research, 55, 95–106. https://doi.org/10.1016/j.cogsys.2019.01.001
    Cognitive Systems Research
    J Cog Sys Res
  5. Cole, J. R., Ghafurian, M., & Reitter, D. (2019). Word Adoption in Online Communities. IEEE Transactions on Computational Social Systems, 6(1), 178–188. https://doi.org/10.1109/TCSS.2018.2889493
    IEEE Transactions on Computational Social Systems
    TCSS
  6. Alberti, C., Ling, J., Collins, M., & Reitter, D. (2019). Fusion of Detected Objects in Text for Visual Question Answering. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2131–2140. https://doi.org/10.18653/v1/D19-1219
    EMNLP
    EMNLP
  7. Ororbia, A. G., Mali, A., Kelly, M. A., & Reitter, D. (2019). Like a Baby: Visually Situated Neural Language Acquisition. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 5127–5136. https://doi.org/10.18653/v1/P19-1506
    ACL
    ACL
  8. Xu, Y., Cole, J. R., & Reitter, D. (2019). Linguistic alignment is affected more by lexical surprisal rather than social power. Proceedings of the Society for Computation in Linguistics, 2 (1), 349–352. https://doi.org/https://doi.org/10.7275/vrhr-4936
    SCiL
    SCiL
  9. Reitter, D., & Grossklags, J. (2019). The Positive Impact of Task Familiarity, Risk Propensity and Need-for-Cognition on Observed Timing Decisions in a Security Game of Timing. Games, 10(4), 49. https://doi.org/10.3390/g10040049
    Games
    Games
  10. Xu, Y., Cole, J. R., & Reitter, D. (2018). Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. ACL, Melbourne, Australia. http://aclweb.org/anthology/P18-1056
    ACL
    ACL
  11. Cole, J. R., & Reitter, D. (2018). The timing of lexical memory retrievals in language production. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1: Long Papers, 2017–2027. https://doi.org/10.18653/v1/N18-1183
    NAACL
    NAACL
  12. Putnam, M. T., Carlson, M., & Reitter, D. (2018). Integrated, not isolated: Defining typological proximity in an integrated multilingual architecture. Frontiers in Psychology: Language Sciences. https://doi.org/10.3389/fpsyg.2017.02212
    Frontiers in Psychology: Language Sciences
    Frontiers
  13. Xu, Y., & Reitter, D. (2018). Information density converges in dialogue: Towards an information-theoretic model. Cognition, 170, 147–163. http://www.david-reitter.com/pub/xu_reitter_cognition2017.pdf
    Cognition
    Cognition
  14. Ghafurian, M., & Reitter, D. (2018). Impatience in Timing Decisions: Effects and Moderation. Timing & Time Perception, 6(2), 183–219. http://booksandjournals.brillonline.com/content/journals/22134468
    Timing & Time Perception
    Timing&Time
  15. Bagby, J. W., Reitter, D., & Chwistek, P. (2018). An Emerging Political Economy of the BlockChain: Enhancing Regulatory Opportunities. Academy of Legal Studies in Business - National Proceedings, ALSB2018_099.
  16. Cole, J., Ghafurian, M., & Reitter, D. (2017). Linking Memory Activation and Word Adoption in Social Language Use via Rational Analysis. Proceedings of the 15th International Conference on Cognitive Modeling. ICCM, London, UK. http://www.david-reitter.com/pub/cole2017linking.pdf
    ICCM
    ICCM
  17. Ororbia II, A. G., Mikolov, T., & Reitter, D. (2017). Learning Simpler Language Models with the Differential State Framework. Neural Computation, 29(12), 3327–3352. https://doi.org/10.1162/neco_a_01017
    Neural Computation
    NECO
  18. Xu, Y., & Reitter, D. (2017). Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 1: Long Papers, 623–633. https://doi.org/10.18653/v1/P17-1058
    ACL
    ACL
  19. McDowell, B., Chambers, N., Ororbia II, A. G., & Reitter, D. (2017). Event Ordering with a Generalized Model for Sieve Prediction Ranking. Proceedings of the 8th International Joint Conference on Natural Language Processing, 843–853. http://www.david-reitter.com/pub/mcdowell2017eventordering.pdf
    ICJNLP
    ICJNLP
  20. Vogelzang, M., Mills, A. C., Reitter, D., Van Rij, J., Hendriks, P., & Van Rijn, H. (2017). Toward cognitively constrained models of language processing: A review. Frontiers in Communication, 2(11). https://doi.org/10.3389/fcomm.2017.00011
    Frontiers in Communication
    Frontiers
  21. Wang, Y., Reitter, D., & Yen, J. (2017). How emotional support and informational support relate to linguistic alignment. Social, Cultural, and Behavioral Modeling, 25–34. http://www.david-reitter.com/pub/wang2017emotional.pdf
    SBP-BRiMS
    SBP-BRiMS
  22. Cole, J., Ghafurian, M., & Reitter, D. (2017). Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities. Social, Cultural, and Behavioral Modeling, 236–241. http://www.david-reitter.com/pub/cole2017wordadoption.pdf
    SBP-BRiMS
    SBP-BRiMS
  23. Xu, Y., & Reitter, D. (2016). Convergence of Syntactic Complexity in Conversation. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2 (Short Papers), 443–448. https://doi.org/10.18653/v1/P16-2072
    ACL
    ACL
  24. Xu, Y., & Reitter, D. (2016). Entropy converges between dialogue participants: explanations from an information-theoretic perspective. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 1: Long Papers, 537–546. https://doi.org/10.18653/v1/P16-1051
    ACL
    ACL
  25. Ghafurian, M., & Reitter, D. (2016). Impatience induced by waiting: An effect moderated by the speed of countdowns. Proceedings of the 2016 ACM Conference on Designing Interactive Systems. DIS, Brisbane, Australia. http://www.david-reitter.com/pub/ghafurian2016DIS.pdf
    DIS
    DIS
  26. 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
    PLOS ONE
    PLOS ONE
  27. Cole, J., Xu, Y., & Reitter, D. (2016). How people talk about armed conflicts: An analysis of Reddit data. Social, Cultural, and Behavioral Modeling, 366–376. https://doi.org/10.1007/978-3-319-39931-7_35
    SBP-BRiMS
    SBP-BRiMS
  28. Liu, Y., Cole, J., & Reitter, D. (2016). Human Visual Perception of the 17 Wallpaper-Group Patterns using Timed Trials. Journal of Vision, 16(12), 950–950. https://doi.org/10.1167/16.12.950
    Journal of Vision
  29. Ororbia II, A. G., Giles, C. L., & Reitter, D. (2015). Learning a deep hybrid model for semi-supervised text classification. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. EMNLP, Lisbon, Portugal. http://www.david-reitter.com/pub/ororbia2015learning-deep-hybrid.pdf
    EMNLP
    EMNLP
  30. Ororbia II, A. G., Reitter, D., Wu, J., & Giles, C. L. (2015). Online learning of deep hybrid architectures for semi-supervised categorization. Machine Learning and Knowledge Discovery in Databases (Proceedings, ECML PKDD 2015), 9284, 516–532. http://www.david-reitter.com/pub/ororbia_deep_hybrid_ecml_2015.pdf
    ECML PKDD
    ECML PKDD
  31. 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. http://www.david-reitter.com/pub/ororbia2015crowd.pdf
    SBP
  32. 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. https://doi.org/10.1145/2776891
    ACM Transactions on Computer-Human Interaction
    ACM ToCHI
  33. 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
    Journal of Memory and Language
    J Mem Lang
  34. Grossklags, J., & Reitter, D. (2014). How task familiarity and cognitive predispositions impact behavior in a security game of timing. Proceedings of the 27th IEEE Computer Security Foundations Symposium, 111–122. http://www.david-reitter.com/pub/grossklags2014csf.pdf
    CSF
    CSF
  35. Reitter, D., & Lebiere, C. (2012). Social cognition: memory decay and adaptive information filtering for robust information maintenance. Twenty-Sixth Conference on Artificial Intelligence, 242–248. http://www.david-reitter.com/pub/reitter2012socialcognition.pdf
    AAAI
    AAAI
  36. 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
    Cognitive Science
    J Cog Sci
  37. Reitter, D., & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12(2), 175–185. https://doi.org/10.1016/j.cogsys.2010.06.005
    Cognitive Systems Research
    J Cog Sys Res
  38. Reitter, D. (2010). Metacognition and multiple strategies in a cognitive model of online control. Journal of Artificial General Intelligence, 2(2), 20–37. http://www.david-reitter.com/pub/reitter2010metacognition.pdf
    Journal of Artificial General Intelligence
    J AGI
  39. Gluck, K. A., Stanley, C. T., L. Richard Moore, Jr., Reitter, D., & Halbrügge, M. (2010). Exploration for understanding in model comparisons. Journal of Artificial General Intelligence, 2(2), 88–107. http://www.david-reitter.com/pub/gluck2010exploration.pdf
    Journal of Artificial General Intelligence
    J AGI
  40. Reitter, D., & Lebiere, C. (2010). A cognitive model of spatial path planning. Computational and Mathematical Organization Theory, 16(3), 220–245. https://doi.org/10.1007/s10588-010-9073-3
    Computational and Mathematical Organization Theory
    CMOT
  41. Reitter, D., & Moore, J. D. (2007). Predicting success in dialogue. Proc. 45th Annual Meeting of the Association of Computational Linguistics, 808–815. http://aclweb.org/anthology/P07-1102
    ACL
    ACL
  42. Reitter, D., Hockenmaier, J., & Keller, F. (2006). Priming effects in combinatory categorial grammar. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, 308–316. http://www.david-reitter.com/pub/reitter2006ccg.pdf
    EMNLP
    EMNLP
  43. Reitter, D., Keller, F., & Moore, J. D. (2006). Computational modelling of structural priming in dialogue. Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers, 121–124. http://aclweb.org/anthology/N06-2031
    HLT-NAACL
    HLT-NAACL
  44. 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. Document Understanding Conference 2005. DUC, Vancouver, Canada. http://www.david-reitter.com/pub/hachey2005embra.pdf
    DUC
    DUC
  45. Reitter, D., Panttaja, E., & Cummins, F. (2004). UI on the fly: generating a multimodal user interface. Proceedings of Human Language Technology Conference 2004 / North American Chapter of the Association for Computational Linguistics, 45–48. http://www.david-reitter.com/pub/reitter-etal_uifly_2004.pdf
    HLT-NAACL
    HLT-NAACL
  46. Reitter, D. (2003). Simple signals for complex rhetorics: on rhetorical analysis with rich-feature support vector models. LDV Forum - Journal for Language Technology and Computational Linguistics, 18(1/2), 38–52. http://www.david-reitter.com/pub/reitter_complex-rst_2003.pdf
    LDV Forum - Journal for Language Technology and Computational Linguistics
    JLCL
  47. Kelly, M. A., Arora, N., West, R. L., & Reitter, D. (n.d.). Holographic Declarative Memory: Distributional semantics as the architecture of memory. Cognitive Science. https://doi.org/10.1111/cogs.12904
    Cognitive Science
    J Cog Sci

Conference and Workshop Papers

  1. Kelly, M. A., Xu, Y., Calvillo, J., & Reitter, D. (2020). Predicting syntactic priming from sentence embedding vectors. In S. Denison, M. Mack, Y. Xu, & B. C. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 2375–2381). Cognitive Science Society. https://cognitivesciencesociety.org/cogsci20/papers/0564/0564.pdf
    CogSci
    CogSci
  2. Wang, J., Kelly, M. A., & Reitter, D. (2020). Do We Need Neural Models to Explain Human Judgments of Acceptability? Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 1289–1295. https://cognitivesciencesociety.org/cogsci20/papers/0251/0251.pdf
    CogSci
    CogSci
  3. Kelly, M. A., Xu, Y., Calvillo, J., & Reitter, D. (2020). Which Sentence Embeddings and Which Layers Encode Syntactic Structure? Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. CogSci. https://cognitivesciencesociety.org/cogsci20/papers/0564/0564.pdf
    CogSci
    CogSci
  4. Xu, Y., Zhang, J., & Reitter, D. (2019). Treat the Word As a Whole or Look Inside? Subword Embeddings Model Language Change and Typology. Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, 136–145. https://www.aclweb.org/anthology/W19-4717
  5. Kelly, M. A., & Reitter, D. (2018). How Language Processing can Shape a Common Model of Cognition. Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018 (Ninth Annual Meeting of the BICA Society), 145, 724–729. http://www.david-reitter.com/pub/kelly2018language.pdf
  6. Kelly, M. A., Reitter, D., & West, R. L. (2017). Degrees of Separation in Semantic and Syntactic Relationships. Proc 15th. International Conference on Cognitive Modeling. ICCM, Warwick, UK. http://www.david-reitter.com/pub/kelly2017degrees.pdf
    ICCM
    ICCM
  7. Cole, J., & Reitter, D. (2017). Examining Working Memory during Sentence Construction with an ACT-R Model of Grammatical Encoding. Proceedings of the 15th International Conference on Cognitive Modeling. ICCM, London, UK.
    ICCM
    ICCM
  8. Kelly, M. A., & Reitter, D. (2017). Holographic declarative memory: Using distributional semantics within ACT-R. Proceedings of the AAAI Fall Symposium on A Standard Model of the Mind. http://www.david-reitter.com/pub/kelly2017holographic.pdf
  9. Ghafurian, M., & Reitter, D. (2016). Gender differences in the effect of impatience on men and women’s timing decisions. Proceedings of the 38th Annual Meeting of the Cognitive Science, 1223–1228. http://www.david-reitter.com/pub/ghafurian2016cogsci.pdf
    CogSci
    CogSci
  10. Xu, Y., & Reitter, D. (2015). An evaluation and comparison of linguistic alignment measures. Proc. Cognitive Modeling and Computational Linguistics, 58–67. http://www.david-reitter.com/pub/xu2015evaluation-alignment.pdf
    CMCL
    CMCL
  11. Wang, Y., Yen, J., & Reitter, D. (2015). Pragmatic alignment on social support type in health forum conversations. Proc. Cognitive Modeling and Computational Linguistics, 9–18. http://www.david-reitter.com/pub/wang2015pragmatic-alignment.pdf
    CMCL
    CMCL
  12. 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. Proc. International Conference on Cognitive Modeling, Poster Abstract. http://www.david-reitter.com/pub/surprisal2015iccm.pdf
    ICCM
    ICCM
  13. Wang, Y., Reitter, D., & Yen, J. (2014). Linguistic adaptation in online conversation threads: analyzing alignment in online health communities. Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics (at ACL), 55–62. http://www.david-reitter.com/pub/yafei2014cmcl.pdf
    CMCL
    CMCL
  14. Ghafurian, M., & Reitter, D. (2014). Impatience, risk propensity and rationality in timing games. Proceedings of the 36th Annual Conference of the Cognitive Science Society, 2841–2846. http://www.david-reitter.com/pub/ghafurian2014impatience_2.pdf
    CogSci
    CogSci
  15. 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). http://www.david-reitter.com/pub/reitter2013risk.pdf
    ICCM
    ICCM
  16. Reitter, D., & Scerri, P. (2013). Smooth dynamics, good performance in cognitive-agent congestion problems. Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 3269–3274. http://www.david-reitter.com/pub/reitter2013smooth.pdf
    CogSci
    CogSci
  17. Scerri, P., & Reitter, D. (2013). Cognitive instance-based learning agents in a multi-agent congestion game. Workshop on Information Sharing in Large Scale Multi-Agent Systems, at AAMAS 2013. http://www.david-reitter.com/pub/scerri2013informationsharing.pdf
  18. Reitter, D. (2012). Lexical language evolution in networked human groups. Words and Networks: Language Use in Socio-Technical Networks. WON, Chicago, IL. http://www.david-reitter.com/pub/reitter2012lexical.pdf
    WON
    WON
  19. 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 (pp. 253–254). Universitaetsverlag der TU Berlin.
    ICCM
    ICCM
  20. 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. Proceedings of the 20th Behavior Representation in Modeling & Simulation Conference, 138–145. http://www.david-reitter.com/pub/reitter2011policies.pdf
    BRiMS
    BRiMS
  21. Reitter, D., & Lebiere, C. (2011). Towards cognitive models of communication and group intelligence. Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, 734–739. http://www.david-reitter.com/pub/reitter-lebiere2011group-intelligence.pdf
    CogSci
    CogSci
  22. Gonzalez, C., Lebiere, C., Juvina, I., Erev, I., Zinkevich, M., & Reitter, D. (2011). Scaling individual decision making models to models of social networks. Symposium at the 20th Behavior Representation in Modeling & Simulation (BRIMS).
  23. 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. Proceedings of the 19th Behavior Representation in Modeling & Simulation Conference. BRiMS, Charleston, SC. http://www.david-reitter.com/pub/reitter2010lemonade.pdf
    BRiMS
    BRiMS
  24. Reitter, D., & Lebiere, C. (2010). Did social networks shape language evolution? A multi-agent cognitive simulation. Proc. Cognitive Modeling and Computational Linguistics Workshop, 9–17. http://www.david-reitter.com/pub/reitter2010networks.pdf
    CMCL
    CMCL
  25. Warwick, W., Dutt, V., Gluck, K. A., & Reitter, D. (2010). Results and lessons learned from the 2009 DSF model comparison challenge. Symposium at the 19th Behavior Representation in Modeling & Simulation Conference. BRiMS, Charleston, SC. http://www.david-reitter.com/pub/warwick2010symposium.pdf
    BRiMS
    BRiMS
  26. Reitter, D., & Lebiere, C. (2010). Accountable Modeling in ACT-UP, a Scalable, Rapid-Prototyping ACT-R Implementation. Proceedings of the 10th International Conference on Cognitive Modeling, 199–204. http://www.david-reitter.com/pub/reitter2010act-up.pdf
    ICCM
    ICCM
  27. 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.
  28. Lebiere, C., Stocco, A., Reitter, D., & Juvina, I. (2010). Scaling up high-fidelity cognitive modeling to real-world applications. Proceedings of the NATO Workshop on Human Modeling for Military Application, 1–20.
  29. Reitter, D., & Lebiere, C. (2009). Towards explaining the evolution of domain languages with cognitive simulation. Proceedings of the 9th International Conference on Cognitive Modeling. ICCM, Manchester, UK. http://www.david-reitter.com/pub/reitter2009evolution.pdf
    ICCM
    ICCM
  30. Reitter, D., & Lebiere, C. (2009). A subsymbolic and visual model of spatial path planning. Proc. 18th Behavior Representation in Modeling and Simulation Conference. BRiMS, Sundance, UT. http://www.david-reitter.com/pub/reitter2009pathplanning.pdf
    Best paper award BRIMS 2009
    BRiMS
    BRiMS
  31. Reitter, D., Lebiere, C., Lewis, M., Wang, H., & Ma, Z. (2009). A cognitive model of visual path planning in a multi-robot control system. Proceedings Systems Man Cybernetics 2009. IEEE-SMC, San Antonio, TX. http://www.david-reitter.com/pub/Reitter2009robot-path.pdf
    IEEE-SMC
    IEEE-SMC
  32. Reitter, D., & Keller, F. (2007). Against sequence priming: evidence from constituents and distituents in corpus data. Proceedings of the 29th Annual Conference of the Cognitive Science Society, 1421–1426. http://www.david-reitter.com/pub/reitter2007sequence_priming.pdf
    CogSci
    CogSci
  33. 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). http://www.david-reitter.com/pub/dzikovska2006lam.pdf
  34. Hachey, B., Murray, G., & Reitter, D. (2006). Dimensionality reduction aids term co-occurrence based multi-document summarization. Proceedings of the COLING-ACL Workshop Task-Focused Summarization and Question Answering 2006, 1–7. http://www.david-reitter.com/pub/hachey2006dimensionality.pdf
  35. Reitter, D., Moore, J. D., & Keller, F. (2006). Priming of syntactic rules in task-oriented dialogue and spontaneous conversation. Proceedings of the 28th Annual Conference of the Cognitive Science Society, 685–690. http://www.david-reitter.com/pub/reitter2006priming.pdf
    CogSci
    CogSci
  36. Reitter, D., & Callaway, C. (2006). Methods, requirements and licenses for shared nlg resources. Open Mic Session, Fourth International Natural Language Generation Conference.
  37. Dolfing, H., Reitter, D., Almeida, L., Beires, N., Cody, M., Gomes, R., Robinson, K., & Zielinski, R. (2005). The FASiL speech and multimodal corpora. 6th Interspeech 2005 and 9th European Conference on Speech Communication and Technology. INTER/EUROSPEECH, Lisbon, Portugal. http://www.david-reitter.com/pub/dolfing2005fasilcorpora.pdf
    INTER/EUROSPEECH
  38. Panttaja, E., Reitter, D., & Cummins, F. (2004). The evaluation of adaptable multimodal system outputs. Proceedings of the DUMAS Workshop on Robust and Adaptive Information Processing for Mobile Speech Interfaces, 69–76. http://www.david-reitter.com/pub/panttaja-etal_evaluation_2004.pdf
  39. Reitter, D. (2004). A development environment for multimodal functional unification generation grammars. Third International Conference on Natural Language Generation. 2nd Volume; Posters. INLG, Brockenhurst, U.K. http://www.david-reitter.com/pub/reitter2004inlg.pdf
    INLG
    INLG
  40. Reitter, D., & Stede, M. (2003). Step by step: underspecified markup in incremental rhetorical analysis. Proceedings of the 4th International Workshop on Linguistically Interpreted Corpora (LINC-03) (at EACL 2003), 77–84. http://www.david-reitter.com/compling/papers/reitter-stede_urml_2003.pdf
  41. Reitter, D. (2002). Statistical part-of-speech guessing for German: support vector classifiers versus voting. Proceedings of the 12th Student Conference on Computational Linguistics. TaCoS, Potsdam, Germany. http://www.david-reitter.com/pub/reitter_posguessing_2002.pdf
    TaCoS
    TaCoS
  42. Berger, D., Reitter, D., & Stede, M. (2002). XML/XSL in the dictionary: the case of discourse markers. Proceedings of the 2nd Workshop on NLP and XML (NLPXML-2002), (at COLING 2002). http://www.david-reitter.com/pub/bergeretal_xmldiscmarkers_2002.pdf
  43. Reitter, D., Covaci, S., Oltean, F., Bacanu, C., & Serbanuta, T. (2001). Hybrid natural language processing in a customer-care environment. Proceedings of the 11th Student Conference on Computational Linguistics (TaCoS). TaCoS, Heidelberg, Germany.
    TaCoS
    TaCoS

Book Chapters

  1. 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 (pp. 246–269). Routledge Psychology Press. http://www.david-reitter.com/pub/reitter2017alignment.pdf
  2. 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. http://www.david-reitter.com/pub/reitter2014hungryWolves.pdf

Edited Volumes

  1. 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
    Topics in Cognitive Science
    TopiCS
  2. Xu, K. S., Reitter, D., Lee, D., & Osgood, N. (Eds.). (2016). Social, Cultural, and Behavioral Modeling. 9th International Conference, SBP-BRiMS 2016. Springer. https://link.springer.com/book/10.1007/978-3-319-39931-7
    SBP-BRiMS
  3. Reitter, D., & Ritter, F. E. (Eds.). (2016). Proceedings of ICCM 2016: 14th International Conference on Cognitive Modeling. Penn State.
    ICCM
  4. 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. http://link.springer.com/article/10.1007/s10588-015-9194-9
    Computational and Mathematical Organization Theory
    CMOT
  5. Reitter, D., Stacy, E. W., & Mezzacappa, E. (Eds.). (2015). Proceedings of the 24th Annual Conference on Behavior Representation in Modeling and Simulation. BRiMS Society.
    BRiMS
  6. St.Amant, R., Reitter, D., & Stacy, E. W. (Eds.). (2014). Proceedings of the 23rd Annual Conference on Behavior Representation in Modeling and Simulation. BRiMS Society.
    BRiMS
  7. 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
    Topics in Cognitive Science
    TopiCS
  8. Kennedy, W. G., Reitter, D., & Amant, R. S. (Eds.). (2013). Proceedings of the 22nd Annual Conference on Behavior Representation in Modeling and Simulation. BRiMS Society.
    BRiMS
  9. Reitter, D., & Levy, R. (Eds.). (2012). Proc. 3rd Workshop on Cognitive Modeling and Computational Linguistics. Association for Computational Linguistics. http://www.aclweb.org/anthology/W/W12/W12-17.pdf
    CMCL
  10. Diesner, J., & Reitter, D. (Eds.). (2012). Proc. Words and Networks 2012: Language Use in Socio-Technical Networks (WON2012). Association for Computing Machinery.
    WON
  11. Keller, F., & Reitter, D. (Eds.). (2011). Proc. 2nd workshop on cognitive modeling and computational linguistics. Association for Computational Linguistics. http://aclweb.org/anthology/W/W11/W11-06.pdf
    CMCL
  12. Reitter, D. (Ed.). (2002). Proceedings of the 12th Student Conference on Computational Linguistics (TaCoS). University of Potsdam.
    TaCoS

Theses

  1. Reitter, D. (2008). Context effects in language production: models of syntactic priming in dialogue corpora [University of Edinburgh]. http://www.david-reitter.com/pub/reitter2008phd.pdf
  2. Reitter, D. (2003). Rhetorical analysis with rich-feature support vector models [University of Potsdam]. http://www.david-reitter.com/pub/reitter_rstsvm-thesis_2003.pdf
    Best thesis award 2001/2002 at the GLDV'03 spring conference.

Talks

  1. Ororbia II, A. G., Reitter, D., & Giles, C. L. (2017, March 3). The Temporal Neural Coding Network: Towards Lifelong Language Learning. 11th Annual Machine Learning Symposium, The New York Academy of Sciences.
  2. Reitter, D. (2017). Cracking Language with ACT-R: How does language mix with cognition? Challenges for the modeling community. 24th ACT-R Workshop, London, UK.
  3. Reitter, D. (2017). Distributed language models with the Delta-RNN and Deep BEAGLE. Symposium on Distributed Cognition, MathPsych/International Conference on Cognitive Modeling, Warwick, UK.
  4. Reitter, D., Ghafurian, M., & Grossklags, J. (2016). Systematic, Individual and Situational Biases in Timing Decisions [Oral presentation]. International Meeting of the Psychonomic Society, Grenada, Spain.
    (Psychonomics)
  5. Cole, J., Reitter, D., & Liu, Y. (2016). Symmetry features and group hierarchy model human symmetry perception [Poster presentation]. International Meeting of Psychonomic Society, Grenada, Spain.
    (Psychonomics)
  6. Reitter, D. (2016). Computational approaches to modeling dialogue [Talk]. Dept of Linguistics, University of California, San Diego, San Diego, CA.
  7. Reitter, D., Gonzalez, C., Lebiere, C., & Meyer, J. (2014). Cognitive security [Panel]. 13th Annual Workshop on the Economics of Information Security, University Park, PA.
  8. Anderson, R., Meyer, J., Moore, T., Randazzese, L., & Reitter, D. (Moderator). (2014). Human aspects of cybersecurity [Panel]. Department of Homeland Security Workshop on Incentives and Regulation of Cybersecurity, University Park, PA.
  9. Reitter, D. (2014). Big-Data insights into cognitive representations of language processing [Invited Talk]. The 2nd International Workshop on Advanced Learning Sciences, Taipei, Taiwan.
  10. D’Orazio, V., Kenwick, M., Lane, M., Palmer, G., & Reitter, D. (2014). Crowdsourcing the Measurement of Observational Data [Talk]. Annual Meeting of the International Studies Association, Toronto, Canada.
  11. Reitter, D. (2013). Computational and underspecified approaches to standardization [Panel]. Methods for Communicating the Structure and Content of a Cognitive Model, at:Human Factors and Ergonomics Society International Annual Meeting, San Diego, CA. http://www.david-reitter.com/pub/warwick2013hfes.pdf
  12. Reitter, D., & Scerri, P. (2012). Social multi-agent learning with simple and cognitive agents [Poster]. CAOSS 2012: Workshop on Computational and Online Social Science, New York, N.Y.
  13. Mason, W., Reitter, D., Coman, A., & Hirst, B. (2011). Cognition and social dynamics: a new approach to emergent phenomena [Talk]. Symposium at the 23rd Annual Convention of the Association for Psychological Science, Washington, D.C.
  14. Lebiere, C., & Reitter, D. (2010). ACT-UP: A cognitive modeling toolkit for composition, reuse and integration [Talk]. MODSIM World Conference and Expo, Hampton, VA.
  15. Reitter, D. (2009). Two-level, multi-strategy memory based control [Talk]. Dynamic Stocks and Flows Modeling Challenge Symposium (competition winner), International Conference on Cognitive Modeling (ICCM), Manchester, UK.
    ICCM
  16. Reitter, D., & Keller, F. (2008). Structural priming in language production as the result of learning and spreading activation in an ACT-R model [Talk]. 21st Annual CUNY Conference on Human Sentence Processing, Chapel Hill, NC.
  17. Reitter, D. (2008). The repetition of general lexical material boosts structural priming in language production [Poster]. 21st Annual CUNY Conference on Human Sentence Processing, Chapel Hill, NC.
  18. Reitter, D., Keller, F., & Hockenmaier, J. (2007). Corpus-based evidence against sequence priming [Poster]. 20th Annual CUNY Conference on Human Sentence Processing, La Jolla, CA.
  19. Reitter, D., & Moore, J. D. (2007). Successful dialogue requires syntactic alignment [Poster]. 20th Annual CUNY Conference on Human Sentence Processing, La Jolla, CA.
  20. Reitter, D., Moore, J. D., & Keller, F. (2006). Corpus-based evidence for syntactic priming as rule repetition [Talk]. 12th Annual Conference on Architectures and Mechanisms for Language Processing, Nijmegen, Netherlands.

Computer Programs

  1. Reitter, D. (2015). Wolves & Sheep - an edu-simulation. https://github.com/davidswelt/wolvesandsheep
  2. Reitter, D. (2014). Zot_bib_web - interactive web bibliographies. https://github.com/davidswelt/zot_bib_web/
  3. Reitter, D. (2005). Aquamacs Emacs - a development and authoring environment. http://aquamacs.org
  4. Reitter, D. (1993). égale - a programmer’s tool [Atari ST (TOS) series]. http://www.david-reitter.com/software/projects_atari.html
  5. Reitter, D. (1996). ClickRun - a utility [Atari ST (TOS) Series].
  6. Reitter, D. (1994). Tetric - the game [Atari ST (TOS) Series]. http://www.david-reitter.com/software/projects_atari.html
  7. Reitter, D. (1992). X-Point - a mail client [Atari ST (TOS) Series]. http://www.david-reitter.com/software/projects_atari.html
A zot_bib_web bibliography.