Article published In:
Mental Model Ascription by Intelligent Agents
Edited by Marjorie McShane
[Interaction Studies 15:3] 2014
► pp. 359387
References
Anand, P., King, J., Boyd-Graber, J., Wagner, E., Martell, C., Oard, D., & Resnik, P
(2011) Believe me – We can do this! Annotating persuasive acts in blog text. In Proceedings of the AAAI Workshop on Computational Models of Natural Argument . San Francisco, CA: AAAI.
Brown, P., & Levinson, S
(1987) Politeness: Some universals in language usage. Cambridge, MA: Cambridge University Press. DOI logoGoogle Scholar
Chaffar, S., & Inkpen, D
(2011) Using a heterogeneous dataset for emotion analysis in text. Lecture Notes in Computer Science, 66571, 62–67. DOI logoGoogle Scholar
Danescu-Niculescu-Mizil, C., Sudhof, M., Jurafsky, D., Leskovec, J., & Potts, C
(2013) A computational approach to politeness with application to social factors. In Proceedings of ACL . Sofia, Bulgaria: ACL.
Ditta, A., & Steyvers, M
(2013) Collaborative memory in a serial combination procedure. Memory, 211, 668–674. DOI logoGoogle Scholar
Fellbaum, C
(1998) WordNet: An electronic lexical database. Cambridge, MA: MIT Press. DOI logoGoogle Scholar
Grice, P
(1975) Logic and conversation. In P. Cole & J. Morgan (Eds.), Syntax and semantics. 3: Speech acts (pp. 41–58). New York: Academic Press.Google Scholar
Griffiths, T., & Steyvers, M
(2004) Finding scientific topics. Proceedings of the National Academy of Sciences, 1011, 5228–5235. DOI logoGoogle Scholar
Hacker, S., & von Ahn, L
(2009) Matchin: Eliciting user preferences with an online game. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems (pp. 1207–1216). Boston, MA: Association for Computing Machinery. DOI logo
Hardisty, E., Boyd-Graber, J., & Resnik, P
(2010) Modeling perspective using adaptor grammars. In Proceedings of Empirical Methods in Natural Language Processing (pp. 284–292). Boston, MA: ACL-EMNLP.
Keshtkar, F., & Inkpen, D
(2009) Using sentiment orientation features for mood classification in blogs. In Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineerings (pp. 24–29). Dalian, China: IEEE. DOI logo
Krishnapuram, B., Figueiredo, M., Carin, L., & Hartemink, A
(2005) Sparse multinomial logistic regression: Fast algorithms and generalization bounds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 271, 957–968. DOI logoGoogle Scholar
Kruger, J., Epley, N., Parker, J., & Ng, Z.-W
(2005) Egocentrism over e-mail: Can we communicate as well as we think? Journal of Personality and Social Psychology, 89(6), 925–936. DOI logoGoogle Scholar
Law, E., & von Ahn, L
(2009) Input-agreement: A new mechanism for collecting data using human computation games. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems (pp. 1197–1206). Boston, MA: Association for Computing Machinery. DOI logo
Lee, M., Steyvers, M., de Young, M., & Miller, B
(2012) Inferring expertise in knowledge and prediction ranking tasks. Topics in Cognitive Science, 41, 151–163. DOI logoGoogle Scholar
Lin, W., Wilson, T., Wiebe, J., & Hauptmann, A
(2006) Which side are you on? Identifying perspectives at the document and sentence levels. In Proceedings of the Conference on Natural Language Learning (CoNLL) . New York: CoNLL. DOI logo
McPartland, J., & Klin, A
(2006) Asperger’s syndrome. Adolescent Medicine Clinics, 171(3), 771–88.Google Scholar
Mihalcea, R., & Strapparava, C
(2009) The lie detector: Explorations in the automatic recognition of deceptive language. In Proceedings of the Association for Computational Linguistics . Singapore: ACL. DOI logo
Mishne, G
(2005) Experiments with mood classification in blog posts. In Proceedings of SIGIR 2005 . Salvador, Brazil: ACM.
Mohammed, S
(2012) Portable features for classifying emotional text. In Proceedings of 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 587–591). Montreal, Canada: NAACLHLY.
Neviarouskaya, A., Prendinger, H., & Ishizuka, M
(2010) Recognition of affect, judgment, and appreciation in text. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010) (pp. 806–814). Beijing China: COLING.
Pearl, L., & Steyvers, M
(2010) Identifying emotions, intentions, & attitudes in text using a game with a purpose. In Proceedings of NAACL-HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text . Los Angeles, CA: NAACL.
(2012) Detecting authorship deception: A supervised machine learning approach using author writeprints. Literary and Linguistic Computings, 27(2), 183–196. DOI logoGoogle Scholar
(2013) “C’mon – You should read this”: Automatic identification of tone from language text. International Journal of Computational Linguistics, 4(1), 12–30.Google Scholar
Pennebaker, J., Booth, W., & Francis, M
(2007) Linguistic inquiry and word count: Liwc. Austin, TX: LIWC.net. DOI logoGoogle Scholar
Princeton-University
(2010) About WordNet. [URL].
Rosch, E
(1978) Principles of categorization. In E. Rosch & B. Lloyd (Eds.), Cognition and categorizatio. Hillsdale: Lawrence Erlbaum Associates.Google Scholar
Rubin, V.L., & Conroy, N.J
(2011) Challenges in automated deception detection in computer-mediated communication. Proceedings of the American Society for Information Science and Technology, 48(1), 1–4. DOI logoGoogle Scholar
Strapparava, C., & Mihalcea, R
(2008) Learning to identify emotions in text. In Proceedings of the ACM Symposium on Applied Computing (pp. 1556–1560). Fortaleza, Brazil: ACM.
Strapparava, C., & Valitutti, A
(2004) WordNetAffect: An affective extension of WordNet. In Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC) (pp. 1083–1086). Lisbon, Portugal: LREC.
Toutanova, K., Klein, D., Manning, C., & Singer, Y
(2003) Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of HLT-NAACL 2003 (pp. 252–259). Edmonton, Canada: HLT-NAACL. DOI logo
von Ahn, L
(2006) Games with a purpose. IEEE Computer Magazine, June1, 96–98. DOI logoGoogle Scholar
von Ahn, L., & Dabbish, L
(2004) Labeling images with a computer game. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems (pp. 219–326). Vienna, ­Austria: Association for Computing Machinery. DOI logo
von Ahn, L., Kedia, M., & Blum, M
(2006) Verbosity: A game for collecting common-sense facts. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems (pp. 75–78). New York, NY: Association for Computing Machinery. DOI logo
von Ahn, L., Liu, R., & Blum, M
(2006) Peekaboom: A game for locating objects in images. In Proceedings of SIGCHI Conference on Human Factors in Computing Systems (pp. 55–64). New York, NY: Association for Computing Machinery. DOI logo
Warriner, A.B., Kuperman, V., & Brysbaert, M
(2013) Norms of valence, arousal, and dominance for 13,915 English lemmas. Behavior Research Methods, 45(4), 1191–1207. DOI logoGoogle Scholar
Yi, S., Steyvers, M., & Lee, M
(2012) The wisdom of crowds in combinatorial problems. Cognitive Science, 36(3), 452–470. DOI logoGoogle Scholar
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2020. Using linguistically defined specific details to detect deception across domains. Natural Language Engineering 26:3  pp. 349 ff. DOI logo

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