M. Dascalu, L. L. Stavarache, P. Dessus, S. Trausan-matu, D. S. Mcnamara et al., ReaderBench: The Learning Companion, 17th Int. Conf. on Artificial Intelligence in Education, pp.915-916, 2015.

M. Dascalu, L. L. Stavarache, P. Dessus, S. Trausan-matu, D. S. Mcnamara et al., ReaderBench : An Integrated Cohesion-Centered Framework, 10th European Conf. on Technology Enhanced Learning, pp.505-508, 2015.
DOI : 10.1007/978-3-319-24258-3_47

M. Dascalu, L. L. Stavarache, S. Trausan-matu, P. Dessus, M. Bianco et al., ReaderBench: An Integrated Tool Supporting both Individual and Collaborative Learning, 5th Int. Learning Analytics & Knowledge Conf. (LAK'15) ACM, pp.436-437, 2015.

M. Dascalu, P. Dessus, M. Bianco, S. Trausan-matu, and A. Nardy, Mining Texts, Learner Productions and Strategies with ReaderBench, Educational Data Mining: Applications and Trends, A. Peña-Ayala Ed, pp.335-377, 2014.
DOI : 10.1007/978-3-319-02738-8_13

M. Dascalu, S. Trausan-matu, P. Dessus, and D. S. Mcnamara, Discourse cohesion, Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, LAK '15, pp.350-354, 2015.
DOI : 10.1145/2723576.2723578

URL : https://hal.archives-ouvertes.fr/hal-01169701

M. Dascalu, S. Trausan-matu, P. Dessus, and D. S. Mcnamara, Dialogism: A Framework for CSCL and a Signature of Collaboration, 11th Int. Conf. on Computer-Supported Collaborative Learning, pp.86-93, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01162353

S. Trausan-matu, G. Stahl, and J. Sarmiento, Supporting Polyphonic Collaborative Learning, e-Service Journal, vol.6, issue.1, pp.58-74, 2007.
DOI : 10.2979/ESJ.2007.6.1.59

M. Dascalu, S. Trausan-matu, D. S. Mcnamara, and P. Dessus, ReaderBench: Automated evaluation of collaboration based on cohesion and dialogism, International Journal of Computer-Supported Collaborative Learning, vol.46, issue.1, pp.395-423, 2015.
DOI : 10.1007/s11412-015-9226-y

URL : https://hal.archives-ouvertes.fr/hal-01242021

C. D. Manning, M. Surdeanu, J. Bauer, J. Finkel, S. J. Bethard et al., The Stanford CoreNLP Natural Language Processing Toolkit, Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp.55-60, 2014.
DOI : 10.3115/v1/P14-5010

M. Dascalu, Analyzing discourse and text complexity for learning and collaborating, Studies in Computational Intelligence, 2014.

A. Budanitsky and G. Hirst, Evaluating WordNet-based Measures of Lexical Semantic Relatedness, Computational Linguistics, vol.17, issue.1, pp.13-47, 2006.
DOI : 10.1016/S0022-5371(79)90604-2

T. K. Landauer and S. T. Dumais, A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge., Psychological Review, vol.104, issue.2, pp.211-240, 1997.
DOI : 10.1037/0033-295X.104.2.211

D. M. Blei, A. Y. Ng, J. , and M. I. , Latent Dirichlet Allocation, Journal of Machine Learning Research, vol.3, pp.4-5, 2003.

D. Taibi and S. Dietze, Fostering Analytics on Learning Analytics Research: the LAK Dataset, Proceedings of the LAK Data Challenge, held at LAK2013 ? 3rd International Conference on Learning Analytics and Knowledg, 2013.

M. Davies, The Corpus of Contemporary American English as the first reliable monitor corpus of English, Literary and Linguistic Computing 25, pp.447-465, 2010.
DOI : 10.1093/llc/fqq018

G. Denhière, B. Lemaire, C. Bellissens, and S. Jhean-larose, A Semantic Space for Modeling Children???s Semantic Memory, Handbook of Latent Semantic Analysis, pp.143-165, 2007.
DOI : 10.4324/9780203936399.ch8

D. S. Mcnamara, I. Levinstein, and C. Boonthum, iSTART: Interactive strategy training for active reading and thinking, Behavior Research Methods, Instruments, & Computers, vol.79, issue.2, pp.222-233, 2004.
DOI : 10.3758/BF03195567

M. Dascalu, P. Dessus, M. Bianco, and S. Trausan-matu, Are Automatically Identified Reading Strategies Reliable Predictors of Comprehension?, 12th Int. Conf. on Intelligent Tutoring Systems, pp.456-465, 2014.
DOI : 10.1007/978-3-319-07221-0_57

URL : https://hal.archives-ouvertes.fr/hal-01390231

M. Dascalu, L. L. Stavarache, P. Dessus, S. Trausan-matu, D. S. Mcnamara et al., Predicting Comprehension from Students??? Summaries, 17th Int. Conf. on Artificial Intelligence in Education, pp.95-104, 2015.
DOI : 10.1007/978-3-319-19773-9_10

URL : https://hal.archives-ouvertes.fr/hal-01205372

S. A. Crossley, L. K. Allen, and D. S. Mcnamara, The Writing Pal: A writing strategy tutor, Handbook on Educational Technologies for Literacy

Z. Wu and M. Palmer, Verbs semantics and lexical selection, Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, pp.133-138, 1994.
DOI : 10.3115/981732.981751

T. Koschmann, Toward a dialogic theory of learning, Proceedings of the 1999 conference on Computer support for collaborative learning, CSCL '99, pp.308-313, 1999.
DOI : 10.3115/1150240.1150278

G. Stahl, Studying Virtual Math Teams, 2009.
DOI : 10.1007/978-1-4419-0228-3

R. Picard, Affective computing. M.I.T Media Laboratory Perceptual Computing, 1997.

J. W. Pennebaker, R. J. Booth, F. , and M. E. , Linguistic inquiry and word count: LIWC [Computer software], 2007.

S. Crossley, K. Kyle, and D. S. Mcnamara, (in press) Sentiment Analysis and Social Cognition Engine (SEANCE): An Automatic Tool for Sentiment, Social Cognition, and Social Order Analysis, Behavior Research Methods

M. M. Bradley and P. J. Lang, Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings. The Center for Research in Psychophysiology, 1999.

K. R. Scherer, What are emotions? And how can they be measured? Social science information 44, pp.695-729, 2005.

S. M. Mohammad and P. D. Turney, CROWDSOURCING A WORD-EMOTION ASSOCIATION LEXICON, Computational Intelligence, vol.39, issue.2, pp.436-465, 2013.
DOI : 10.1111/j.1467-8640.2012.00460.x

E. Cambria, M. Grassi, S. Poria, and A. Hussain, Sentic Computing for Social Media Analysis, Representation, and Retrieval, Social Media Retrieval, pp.191-215, 2013.
DOI : 10.1007/978-1-4471-4555-4_9

P. Stone, D. C. Dunphy, M. S. Smith, and D. M. Ogilvie, The General Inquirer: A Computer Approach to Content Analysis, 1966.

H. D. Lasswell and J. Z. Namenwirth, The Lasswell Value Dictionary, 1969.

C. Monnier and A. Syssau, Affective norms for french words (FAN), Behavior Research Methods, vol.38, issue.4, pp.1128-1137, 2014.
DOI : 10.3758/s13428-013-0431-1

A. Moors, J. De-houwer, D. Hermans, S. Wanmaker, K. Van-schie et al., Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words, Behavior Research Methods, vol.120, issue.3, pp.169-177, 2013.
DOI : 10.3758/s13428-012-0243-8