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DeepTutor Publications

Selected Refereed Journal Papers and Book Chapters

  • Rus, V., D'Mello, S., Hu, X., & Graesser, A.C. (to appear). Recent Advances in Conversational Intelligent Tutoring Systems, AI Magazine.
  • Rus, V., Baggett, W., Gire, E., Franceschetti, D., Conley, M., Graesser, A.C. (2013). Towards Learner Models based on Learning Progressions in DeepTutor, Learner Models (Eds. Sottilare, R.), Army Research Lab. [PDF]
  • Rus, V., Niraula, N., Lintean, M., & Graesser, A.C. (2013). An Overview of Dialogue and Semantic Processing in Educational Technologies, Chapter in (Eds. Forascu, C., Ionita, A., Tufis, D., Cristea, D. & Rus, V.) Language Technologies in Romanian and Diaspora Research & Development, September 2012, University Al.I. Cuza Publishing House, Iasi, Romania. ISBN 978-973-703-813-5. [PDF]
  • Lintean, M., Rus, V., & Azevedo, R. (2012). Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor, International Journal of Artificial Intelligence in Education, 21(3), pp. 169-190. [PDF]
  • Rus, V., Linean, M., Cai, Z., Graesser, A.C., Witherspoon, A., & Azevedo, R. (2011). Computational Aspects of The Intelligent Tutoring System MetaTutor, In Applied Natural Language Processing, Phillip McCarthy and Chutima Boonthum-Denecke (Eds.), IGI Global, 2011. [PDF]
  • Rus, V., Lintean, M., Graesser, A.C, & McNamara, D.S. (2011). Text-to-Text Similarity of Sentences, In Applied Natural Language Processing, Phillip McCarthy and Chutima Boonthum-Denecke (Eds.), IGI Global, 2011. [PDF]
  • Lintean, M., & Rus, V. (2010). Paraphrase Identification Using Weighted Dependencies and Lexical Semantics. Informatica: The International Journal of Computing. 34(2010), 19-28. [PDF]
  • Rus. V. (2010). Language Processing Challenges and Solutions in Intelligent Tutoring Systems with Natural Language Interaction, in Forascu, C. & Tufis, D., Multilinguality and Interoperability in Language Processing, Romanian Academy Press, ISBN: 978-973-27-1972-5. [PDF]
  • Lintean, M., & Rus, V. (to appear). Paraphrase Identification Using Weighted Dependencies and Lexical Semantics. Informatica: The International Journal of Computing.
  • Rus, V., McCarthy, P. M., Graesser, A. C., & McNamara, D. S. (2009). Identification of Sentence-to-Sentence Relations Using a Textual Entailer. The International Journal on Research in Language and Computation, 7, 209-229.
  • Graesser, A. C., Rus., V., DMello, S., & Jackson, G. T. (2008). AutoTutor: Learning through natural language dialogue that adapts to the cognitive and affective states of the learner. In D. H. Robinson & G. Schraw (Eds.), Current perspectives on cognition, learning and instruction: Recent innovations in educational technology that facilitate student learning (pp. 95125). Information Age Publishing.
  • Vasile Rus, Philip McCarthy, Danielle McNamara, and Arthur C. Graesser. (2008). Natural Language Understanding and Assessment, Chapter in Encyclopedia of Artificial Intelligence, ISBN: 978-1-59904-849-9, July, 2008
  • Vasile Rus, Philip McCarthy, Danielle McNamara, and Arthur C. Graesser. (2008). A Study on Textual Entailment, International Journal on Artificial Intelligence Tools, 17(4):659-685-499, August, 2008
  • Graesser, A.C., Conley, M., & Olney, A. (in press). Intelligent tutoring systems. In S. Graham & K. Harris (Ed.), APA Handbook of Educational Psychology. Washington, DC: American Psychological Association.
  • Graesser, A.C., Franceschetti, D., Gholson, B., & Craig, S. (in press). Learning Newtonian physics with conversational agents and interactive simulation. In N. Stein (Ed.), Developmental and learning sciences go to school: Implications for education and public policy.
  • Mavrikis, M., D‘Mello, S. K., Porayska-Pomsta, K., Cocea, M., and Graesser, A. C. (in press). Modeling affect by mining students interactions with learning environments. In Romero et al. (Eds.), Handbook of Educational Data Mining. CRC Press.
  • McNamara, D.S., Jackson, G.T., & Graesser, A.C. (in press). Intelligent tutoring and games (ITaG). In Y.K. Baek (Ed.), Gaming for classroom-based learning: Digital role-playing as a motivator of study. IGI Global.
  • Butler, H., Forsyth, C., Halpern, D., Graesser, A.C.,& Millis, K (in press). Secret agents, alien spies, and a quest to save the world: Operation ARIES! Engages students in scientific reasoning and critical thinking. In R. L. Miller, R. F. Rycek, E. Amsel, B. Kowalski, B. Beins, K. Keith, & B.Peden (Eds.)., Volume 1: Programs, Techniques and Opportunities. Syracuse, NY: Society for the Teaching of Psychology.
  • D‘Mello, S. K., & Graesser, A. C. (in press). Cohesion relationships in tutorial dialogues as predictors of learners‘ affective states. In P. McCarthy and C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation, and resolution. IGI Global.
  • Graesser, A. C., D‘Mello, S.K., Cade, W. (in press). Instruction based on tutoring. In R.E. Mayer and P.A. Alexander (Eds.), Handbook of Research on Learning and Instruction. New York: Routledge Press.
  • Graesser, A. C., D‘Mello, S. K., Hu. X., Cai, Z., Olney, A., & Morgan, B. (in press). AutoTutor. In P. McCarthy and C. Boonthum (Eds.), Applied natural language processing and content analysis: Identification, investigation, and resolution. IGI Global.
  • Graesser, A.C., & Lehman, B. (in press). Questions drive comprehension of text and multimedia. In M.T. McCrudden, J. Magliano, and G. Schraw (Eds.), Text relevance and learning from text. Greenwich, CT: Information Age Publishing.
  • Graesser, A. C., & McNamara, D.S. (in press). Automated analysis of essays and open-ended verbal responses. In H. Cooper, A.T. Panter et al. (Eds.), APA Handbook of Research Methods in Psychology. Washington, DC: American Psychological Association.
  • Millis, K, Forsyth, C., Butler, H., Wallace, P., Graesser, A.,& Halpern, D. (in press) Operation ARIES! A serious game for teaching scientific inquiry. In M. Ma, A. Oikonomou & J. Lakhmi (Eds.) Serious games and edutainment applications. London, UK: Springer-Verlag.
  • Storey, J. K., Kopp, K. J., Wiemer, K., Chipman, P., & Graesser, A. C. (in press). Using AutoTutor to teach scientific critical thinking skills. Behavior Research Methods.
  • D‘Mello, S., Dowell, N., & Graesser, A.C. (in press). Does it really matter whether students‘ contributions are spoken versus typed in an intelligent tutoring system with natural language? Journal of Experimental Psychology: Applied.
  • Graesser, A.C., & McNamara, D.S. (in press). Computational analyses of multilevel discourse comprehension. Topics in Cognitive Science.
  • Sullins, J., Craig, S.D., & Graesser, A.C. (in press). The influence of modality of deep reasoning questions. International Journal of Learning Technology, 5, 378-387.


Selected Refereed Conference Papers

  • Rus, V., Niraula, N., & Banjade, R. (2013). Similarity Measures based on Latent Dirichlet Allocation. The 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2013), March 24-30, Samos, Greece. [PDF]
  • Rus, V., Lintean, M., Banjade, R., Niraula, N., & Stefanescu, D. (2013). SEMILAR: The Semantic Similarity Toolkit. The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), August 4-9, Sofia, Bulgaria. [PDF]
  • Rus, V., Niraula, N., Lintean, M., Banjade, R., Stefanescu, D., & Baggett, W. (2013). Recommendations for the Generalized Intelligent Framework for Tutoring based on the Development of the DeepTutor Tutoring Service, Workshop on Generalized Intelligent Framework for Tutoring (GIFT), The 16th International Conference on Artificial Intelligence in Education (AIED 2013), July 9-13, Memphis, TN. [PDF]
  • Rus, V., Niraula, N., Banjade, R. (2013). A Study of Probabilistic and Algebraic Methods for Semantic Similarity, The 26th International Conference of the Florida Artificial Intelligence Research Society (FLAIRS 2013), May 22-24, 2013, St. Pete Beach, FL, USA. [PDF]
  • Morrison, D. M. & Rus, V. (2013). The SCHOLAR Legacy: A New Look at the Affordances of Semantic Networks for Conversational Agents, Workshop on Generalized Intelligent Framework for Tutoring (GIFT), The 16th International Conference on Artificial Intelligence in Education (AIED 2013), July 9-13, Memphis, TN. [PDF]
  • Niraula, N., Rus, V., & Stefanescu, D. (2013). DARE: Deep Anaphora Resolution Engine. The 6th International Conference on Educational Data Mining (EDM 2013), July 6-9, Memphis, TN. [PDF]
  • Rus, V., Banjade, R., Lintean, M., Niraula, N., & Stefanescu, D. (2013). SEMILAR: A Semantic Similarity Toolkit for Assessing Students' Natural Language Inputs, The 6th International Conference on Educational Data Mining (EDM 2013), July 6-9, Memphis, TN. [PDF]
  • Samei, B., Feshktar, F., Rus, V., Graesser, A.C. (2013). A Tool For Speech Act Classification Using Interactive Machine Learning, The 6th International Conference on Educational Data Mining (EDM 2013), July 6-9, Memphis, TN. [PDF]
  • Niraula, N., Banjade, R., Stefanescu, D., Rus, V. (2013). Experiments with Semantic Similarity Measures based on LDA and LSA. The 1st International Conference on Statistical Speech and Language Processing (SLSP 2013), July 29-31, Tarragona, Spain. [PDF]
  • Rus, V., Banjade, R., Niraula, N., & Stefanescu, D. (2013). Latent Concepts versus Latent Topics. In Proceedings of The 23rd Meeting of The Society for Text and Discourse, July 16-18, Valencia, Spain. [PDF]
  • Rus, V., Niraula, N. (2012). Automated Detection of Local Coherence in Short Essays Based on Centering Theory", The 13th International Conference on Computational Linguistics (CICLing 2012), March 11-17, IIT Delhi, India. (BEST PAPER AWARD) [PDF]
  • Rus, V., Lintean, M. (2012). "A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word-to-Word Similarity Metrics", Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, The 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June, 2012, Montreal, Canada. [PDF]
  • Rus, V., Lintean, M., Moldovan, C., Baggett, W., Niraula, N., Morgan, B. (2012). The SIMILAR Corpus: A Resource to Foster the Qualitative Understanding of Semantic Similarity of Texts, In Semantic Relations II: Enhancing Resources and Applications, The 8th Language Resources and Evaluation Conference (LREC 2012), May 23-25, Instanbul, Turkey. [PDF]
  • Lintean, M. & Rus, V. (2012). Measuring Semantic Similarity in Short Texts through Greedy Pairing and Word Semantics. Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference. Marco Island, FL. [PDF]
  • Rus, V., Graesser, A., Moldovan, C., & Niraula, N. (2012). "Automatic Discovery of Speech Act Categories in Educational Games", 5th International Conference on Educational Data Mining (EDM12), June 19-21, Chania, Greece. [PDF]
  • Bhattarai, A., Niraula, N., Rus, V., Lin, K. (2012). "A Domain Independent Framework to Extract and Aggregate Analogous Features in Reviews", Cicling 2012, March 11-17, IIT Delhi, India. [PDF]
  • Rus, V., Moldovan, C., Witherspoon, A., & Graesser, A.C. (2011). Automatic Identification of Speakers' Intentions in A Multi-Party Dialogue System, International Conference of the Society for Text and Discourse, Poitier, France, July 2011. [PDF]
  • Lintean, M., & Rus, V. (2011). Dissimilarity Kernels for Paraphrase Identification, Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference, Palm Beach, FL, May, 2011. [PDF]
  • Rus, V., Feng, S., Brandon, R., Crossley, S., & McNamara, D.S. (2011). A Linguistic Analysis of Student Generated Paraphrases, Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference, Palm Beach, FL, May, 2011. [PDF]
  • Moldovan, C., Rus, V., & Graesser, A.C. (2011). Automated Speech Act Classification for Online Chat, The 22nd Midwest Artificial Intelligence and Cognitive Science Conference, Cincinatti, OH, April 2011 (Best Student Paper Award - Honorary Mention). [PDF]
  • Rus, V., Wyse, B., Piwek, P., Lintean, M., Stoyanchev, S., & Moldovan, C. (2010). Overview of The First Question Generation Shared Task and Evaluation Challenge, In Proceedings of The 3rd Question Generation Workshop, Pittsburgh, PA, June, 2010. [PDF]
  • Lintean, M., Moldovan, C., Rus, V., & McNamara, D. (2010). The Role of Local and Global Weighting in Assessing The Semantic Similarity Of Texts using Latent Semantic Analysis. Proceedings of the 23st International Florida Artificial Intelligence Research Society Conference. Daytona Beach, FL. [PDF]
  • Rus, V., Lintean, M., & Azevedo, R., (2010). Computational Aspects of The Intelligent Tutoring System MetaTutor. Proceedings of the 23st International Florida Artificial Intelligence Research Society Conference. Daytona Beach, FL. [PDF]
  • Rus, V., Lintean, M., and Azevedo, R. (2009). Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor, Proceedings of the 2nd International Conference on Educational Data Mining, July 1-3, 2009, Cordoba, Spain
  • Rus, V, Lintean, M., Graesser, A.C., McNamara, D.S. (2009). Assessing Student Paraphrases Using Lexical Semantics and Word Weighting, Proceedings of the 14th International Conference on Artificial Intelligence in Education, July 6-10, 2009, Brighton, UK
  • Lintean, M. & Rus, V. (2009). Paraphrase Identification Using Weighted Dependencies and Word Semantics, Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference. Menlo Park, CA: The AAAI Press.


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