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David T. Reitter
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Books and Theses
- 2008
[b1]David Reitter:
Context effects in language production : models of syntactic priming in dialogue corpora. University of Edinburgh, UK, 2008
Journal Articles
- 2023
- [j18]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. Comput. Linguistics 49(4): 777-840 (2023) - 2022
- [j17]Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter:
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark. Trans. Assoc. Comput. Linguistics 10: 1066-1083 (2022) - 2020
- [j16]Matthew A. Kelly
, Nipun Arora, Robert L. West, David Reitter:
Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory. Cogn. Sci. 44(11) (2020) - [j15]Moojan Ghafurian, David Reitter, Frank E. Ritter:
Countdown Timer Speed: A Trade-off between Delay Duration Perception and Recall. ACM Trans. Comput. Hum. Interact. 27(2): 11:1-11:25 (2020) - 2019
- [j14]Jeremy R. Cole, David Reitter:
The role of working memory in syntactic sentence realization: A modeling & simulation approach. Cogn. Syst. Res. 55: 95-106 (2019) - [j13]David Reitter, Jens Grossklags:
The Positive Impact of Task Familiarity, Risk Propensity, and Need For Cognition on Observed Timing Decisions in a Security Game. Games 10(4): 49 (2019) - [j12]Jeremy R. Cole, Moojan Ghafurian, David Reitter:
Word Adoption in Online Communities. IEEE Trans. Comput. Soc. Syst. 6(1): 178-188 (2019) - 2017
- [j11]Alexander G. Ororbia II, Tomás Mikolov, David Reitter:
Learning Simpler Language Models with the Differential State Framework. Neural Comput. 29(12) (2017) - [j10]David Reitter, Frank E. Ritter:
Introduction to the Issue on Computational Models of Memory: Selected Papers From the International Conference on Cognitive Modeling. Top. Cogn. Sci. 9(1): 48-50 (2017) - 2016
- [j9]William G. Kennedy, Robert St. Amant, David Reitter:
Behavior representation in modeling and simulation: introduction to CMOT special issue: BRiMS 2013. Comput. Math. Organ. Theory 22(1): 1-3 (2016) - 2015
- [j8]Jaehyon Paik, Jong Wook Kim, Frank E. Ritter, David Reitter:
Predicting User Performance and Learning in Human-Computer Interaction with the Herbal Compiler. ACM Trans. Comput. Hum. Interact. 22(5): 25:1-25:26 (2015) - 2013
- [j7]John Tracy Hale, David Reitter:
Introduction to the Issue on Computational Models of Natural Language. Top. Cogn. Sci. 5(3): 388-391 (2013) - 2011
- [j6]David Reitter, Frank Keller, Johanna D. Moore:
A Computational Cognitive Model of Syntactic Priming. Cogn. Sci. 35(4): 587-637 (2011) - [j5]David Reitter, Christian Lebiere:
How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cogn. Syst. Res. 12(2): 175-185 (2011) - 2010
- [j4]David Reitter, Christian Lebiere:
A cognitive model of spatial path-planning. Comput. Math. Organ. Theory 16(3): 220-245 (2010) - [j3]David Reitter:
Metacognition and Multiple Strategies in a Cognitive Model of Online Control. J. Artif. Gen. Intell. 2(2): 20-37 (2010) - [j2]Kevin A. Gluck, Clayton Stanley, L. Moore, David Reitter, Marc Halbrügge:
Exploration for Understanding in Cognitive Modeling. J. Artif. Gen. Intell. 2(2): 88-107 (2010) - 2003
- [j1]David Reitter:
Simple Signals for Complex Rhetorics: On Rhetorical Analysis with Rich-Feature Support Vector Models. LDV Forum 18(1/2): 38-52 (2003)
Conference and Workshop Papers
- 2024
- [c48]Kushal Chawla, Hannah Rashkin, Gaurav Singh Tomar, David Reitter:
Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue. EACL (1) 2024: 2316-2335 - 2023
- [c47]Saranya Venkatraman, He He, David Reitter:
How do decoding algorithms distribute information in dialogue responses? EACL (Findings) 2023: 923-932 - 2022
- [c46]Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, David Reitter:
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. EMNLP 2022: 9379-9393 - [c45]Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Hannaneh Hajishirzi, Mari Ostendorf, Gaurav Singh Tomar:
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. EMNLP 2022: 10000-10014 - 2021
- [c44]Hannah Rashkin, David Reitter, Gaurav Singh Tomar, Dipanjan Das:
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features. ACL/IJCNLP (1) 2021: 704-718 - [c43]Zixin Tang, Michael Putnam, David T. Reitter:
Language representations in L2 learners: Toward neural models. CogSci 2021 - 2020
- [c42]Wang Jing, Matthew A. Kelly, David Reitter:
Do we need neural models to explain human judgments of acceptability? CogSci 2020 - [c41]Matthew A. Kelly, Yang Xu, Jesús Calvillo, David Reitter:
Which sentence embeddings and which layers encode syntactic structure? CogSci 2020 - [c40]Jesús Calvillo, Le Fang, Jeremy R. Cole, David Reitter:
Surprisal Predicts Code-Switching in Chinese-English Bilingual Text. EMNLP (1) 2020: 4029-4039 - 2019
- [c39]Alexander Ororbia, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) 2019: 5127-5136 - [c38]Yang Xu, Jiasheng Zhang, David Reitter:
Treat the Word As a Whole or Look Inside? Subword Embeddings Model Language Change and Typology. LChange@ACL 2019: 136-145 - [c37]Yang Xu, Jiasheng Zhang, David Reitter:
Revealing Long-term Language Change with Subword-incorporated Word Embedding Models. CogSci 2019: 3387 - [c36]Matthew A. Kelly, Nipun Arora, Robert L. West, David Reitter:
High-Dimensional Vector Spaces as the Architecture of Cognition. CogSci 2019: 3491 - [c35]Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter:
Fusion of Detected Objects in Text for Visual Question Answering. EMNLP/IJCNLP (1) 2019: 2131-2140 - 2018
- [c34]Yang Xu, Jeremy R. Cole, David Reitter:
Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power. ACL (1) 2018: 601-610 - [c33]Matthew A. Kelly, David Reitter:
How Language Processing can Shape a Common Model of Cognition. BICA 2018: 724-729 - [c32]Jeremy R. Cole, David Reitter:
The Timing of Lexical Memory Retrievals in Language Production. NAACL-HLT 2018: 2017-2027 - 2017
- [c31]Matthew A. Kelly, David Reitter:
Holographic Declarative Memory: Using Distributional Semantics within ACT-R. AAAI Fall Symposia 2017: 382-387 - [c30]Yang Xu, David Reitter:
Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance. ACL (1) 2017: 623-633 - [c29]Bill McDowell, Nathanael Chambers, Alexander G. Ororbia II, David Reitter:
Event Ordering with a Generalized Model for Sieve Prediction Ranking. IJCNLP(1) 2017: 843-853 - [c28]Yafei Wang, David Reitter, John Yen:
How Emotional Support and Informational Support Relate to Linguistic Alignment. SBP-BRiMS 2017: 25-34 - [c27]Jeremy R. Cole, Moojan Ghafurian, David Reitter:
Is Word Adoption a Grassroots Process? An Analysis of Reddit Communities. SBP-BRiMS 2017: 236-241 - 2016
- [c26]Moojan Ghafurian, David Reitter:
Impatience Induced by Waiting: An Effect Moderated by the Speed of Countdowns. Conference on Designing Interactive Systems 2016: 556-564 - [c25]Yang Xu, David Reitter:
Entropy Converges Between Dialogue Participants: Explanations from an Information-Theoretic Perspective. ACL (1) 2016 - [c24]Yang Xu, David Reitter:
Convergence of Syntactic Complexity in Conversation. ACL (2) 2016 - [c23]Moojan Ghafurian, David Reitter:
Gender Differences in the Effect of Impatience on Men and Women's Timing Decisions. CogSci 2016 - [c22]Jeremy R. Cole, Ying Xu, David Reitter:
How People Talk About Armed Conflicts. SBP-BRiMS 2016: 366-376 - 2015
- [c21]Yafei Wang, John Yen, David Reitter:
Pragmatic Alignment on Social Support Type in Health Forum Conversations. CMCL@NAACL-HLT 2015: 9-18 - [c20]Yang Xu, David Reitter:
An Evaluation and Comparison of Linguistic Alignment Measures. CMCL@NAACL-HLT 2015: 58-67 - [c19]Alexander G. Ororbia II, C. Lee Giles, David Reitter:
Learning a Deep Hybrid Model for Semi-Supervised Text Classification. EMNLP 2015: 471-481 - [c18]Alexander G. Ororbia II, David Reitter, Jian Wu, C. Lee Giles:
Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization. ECML/PKDD (1) 2015: 516-532 - [c17]Alexander G. Ororbia II, Yang Xu, Vito D'Orazio, David Reitter:
Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information. SBP 2015: 381-387 - 2014
- [c16]Yafei Wang, David Reitter, John Yen:
A Model to Qualify the Linguistic Adaptation Phenomenon in Online Conversation Threads: Analyzing Priming Effect in Online Health Community. CMCL@ACL 2014: 55-62 - [c15]Moojan Ghafurian, David Reitter:
Impatience, Risk Propensity and Rationality in Timing Games. CogSci 2014 - [c14]Jens Grossklags, David Reitter:
How Task Familiarity and Cognitive Predispositions Impact Behavior in a Security Game of Timing. CSF 2014: 111-122 - 2013
- [c13]John Tracy Hale, Richard L. Lewis, David Reitter, Chung-chieh Shan, Sashank Varma:
Integrating Language and Cognitive Architecture. AAAI Fall Symposia 2013 - [c12]David Reitter, Paul Scerri:
Smooth Dynamics, Good Performance in Cognitive-Agent Congestion Problems. CogSci 2013 - 2012
- [c11]David Reitter, Christian Lebiere:
Social Cognition: Memory Decay and Adaptive Information Filtering for Robust Information Maintenance. AAAI 2012: 242-248 - 2011
- [c10]David Reitter, Christian Lebiere:
Towards Cognitive Models of Communication and Group Intelligence. CogSci 2011 - 2010
- [c9]David Reitter, Christian Lebiere:
Did Social Networks Shape Language Evolution? A Multi-Agent Cognitive Simulation. CMCL@ACL 2010: 9-17 - 2009
- [c8]David Reitter, Christian Lebiere, Michael Lewis, Huadong Wang, Zheng Ma:
A Cognitive Model of Visual Path Planning in a Multi-Robot Control System. SMC 2009: 2897-2903 - 2007
- [c7]David Reitter, Johanna D. Moore:
Predicting Success in Dialogue. ACL 2007 - 2006
- [c6]David Reitter, Julia Hockenmaier, Frank Keller:
Priming Effects in Combinatory Categorial Grammar. EMNLP 2006: 308-316 - [c5]David Reitter, Frank Keller, Johanna D. Moore:
Computational Modelling of Structural Priming in Dialogue. HLT-NAACL 2006 - 2005
- [c4]Hans Dolfing, David Reitter, Luís Almeida, Nuno Beires, Michael Cody, Rui Gomes, Kerry Robinson, Roman Zielinski:
The FASil speech and multimodal corpora. INTERSPEECH 2005: 1605-1608 - 2004
- [c3]David Reitter, Erin Panttaja, Fred Cummins:
UI on the Fly: Generating a Multimodal User Interface. HLT-NAACL (Short Papers) 2004 - 2003
- [c2]David Reitter, Manfred Stede:
Step by step: underspecified markup in incremental rhetorical analysis. LINC@EACL 2003 - 2002
- [c1]Daniela Berger, David Reitter, Manfred Stede:
XML/XSL in the Dictionary: The Case of Discourse Markers. NLPXML@COLING 2002
Parts in Books or Collections
- 2014
- [p1]David T. Reitter:
Hungry Wolves, Creepy Sheepies: The Gamification of the Programmer's Classroom. Innovative Practices in Teaching Information Sciences and Technology 2014: 19-29
Editorship
- 2023
- [e4]Jing Jiang, David Reitter, Shumin Deng:
Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-039-4 [contents] - 2016
- [e3]Kevin S. Xu, David Reitter, Dongwon Lee, Nathaniel Osgood:
Social, Cultural, and Behavioral Modeling, 9th International Conference, SBP-BRiMS 2016, Washington, DC, USA, June 28 - July 1, 2016, Proceedings. Lecture Notes in Computer Science 9708, Springer 2016, ISBN 978-3-319-39930-0 [contents] - 2012
- [e2]David Reitter, Roger Levy:
Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics, CMCL@NAACL-HLT 2012, Montrèal, Canada, June 7, 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-20-6 [contents] - 2011
- [e1]Frank Keller, David Reitter:
Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics, CMCL@ACL 2011, Portland, Oregon, USA, June 23, 2011. Association for Computational Linguistics 2011, ISBN 978-1-932432-95-4 [contents]
Informal and Other Publications
- 2024
- [i15]Kushal Chawla, Hannah Rashkin, Gaurav Singh Tomar, David Reitter:
Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue. CoRR abs/2402.02077 (2024) - 2023
- [i14]Renat Aksitov, Chung-Ching Chang, David Reitter, Siamak Shakeri, Yun-Hsuan Sung:
Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models. CoRR abs/2302.05578 (2023) - [i13]Saranya Venkatraman, He He, David Reitter:
How do decoding algorithms distribute information in dialogue responses? CoRR abs/2303.17006 (2023) - [i12]Chung-Ching Chang, David Reitter, Renat Aksitov, Yun-Hsuan Sung:
KL-Divergence Guided Temperature Sampling. CoRR abs/2306.01286 (2023) - 2022
- [i11]Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin, Daphne Ippolito, Suma Bailis, David Reitter:
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence. CoRR abs/2210.07109 (2022) - 2021
- [i10]Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter:
Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark. CoRR abs/2105.00071 (2021) - [i9]Hannah Rashkin, David Reitter, Gaurav Singh Tomar, Dipanjan Das:
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features. CoRR abs/2107.06963 (2021) - [i8]Zeqiu Wu, Yi Luan, Hannah Rashkin, David Reitter, Gaurav Singh Tomar:
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. CoRR abs/2112.08558 (2021) - [i7]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. CoRR abs/2112.12870 (2021) - 2019
- [i6]Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter:
Fusion of Detected Objects in Text for Visual Question Answering. CoRR abs/1908.05054 (2019) - [i5]Wang Jing, Matthew A. Kelly, David Reitter:
Do We Need Neural Models to Explain Human Judgments of Acceptability? CoRR abs/1909.08663 (2019) - 2018
- [i4]Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter:
Visually Grounded, Situated Learning in Neural Models. CoRR abs/1805.11546 (2018) - 2017
- [i3]Alexander G. Ororbia II, Tomás Mikolov, David Reitter:
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework. CoRR abs/1703.08864 (2017) - [i2]Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles:
Learning to Adapt by Minimizing Discrepancy. CoRR abs/1711.11542 (2017) - 2015
- [i1]Alexander G. Ororbia II, C. Lee Giles, David Reitter:
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders. CoRR abs/1511.06964 (2015)
Coauthor Index
Alexander Ororbia
aka: Alexander G. Ororbia II
aka: Alexander G. Ororbia II
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