Learning text similarity with siamese recurrent networks P Neculoiu, M Versteegh, M Rotaru Proceedings of the 1st Workshop on Representation Learning for NLP, 148-157, 2016 | 461 | 2016 |
Using system and user performance features to improve emotion detection in spoken tutoring dialogs A Hua, DJ Litman, K Forbes-Riley, M Rotaru, J Tetreault, A Purandare Proceedings of the annual conference of the international speech …, 2006 | 120 | 2006 |
The relative impact of student affect on performance models in a spoken dialogue tutoring system K Forbes-Riley, M Rotaru, DJ Litman User modeling and user-adapted interaction 18, 11-43, 2008 | 75 | 2008 |
Responding to student uncertainty during computer tutoring: An experimental evaluation K Forbes-Riley, D Litman, M Rotaru Intelligent Tutoring Systems: 9th International Conference, ITS 2008 …, 2008 | 55 | 2008 |
Classifying turn-level uncertainty using word-level prosody. DJ Litman, M Rotaru, G Nicholas InterSpeech, 2003-2006, 2009 | 25 | 2009 |
Using word-level pitch features to better predict student emotions during spoken tutoring dialogues. M Rotaru, DJ Litman INTERSPEECH, 881-884, 2005 | 25 | 2005 |
Comparing linguistic features for modeling learning in computer tutoring K Forbes-Riley, DJ Litman, A Purandare, M Rotaru, J Tetreault Aied 158, 270-277, 2007 | 20 | 2007 |
Dialog act tagging using memory-based learning M Rotaru Term project, University of Pittsburgh, 255-276, 2002 | 20 | 2002 |
Exploiting word-level features for emotion prediction G Nicholas, M Rotaru, DJ Litman 2006 IEEE Spoken Language Technology Workshop, 110-113, 2006 | 18 | 2006 |
Exploring affect-context dependencies for adaptive system development K Forbes-Riley, M Rotaru, D Litman, J Tetreault Human Language Technologies 2007: The Conference of the North American …, 2007 | 15 | 2007 |
Exploiting discourse structure for spoken dialogue performance analysis M Rotaru, D Litman Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006 | 15 | 2006 |
Interactions between speech recognition problems and user emotions M Rotaru, DJ Litman, K Forbes-Riley Emotion 55, 44.5, 2005 | 15 | 2005 |
Word embeddings vs word types for sequence labeling: the curious case of cv parsing M Tosik, CL Hansen, G Goossen, M Rotaru Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015 | 14 | 2015 |
How to get the best word vectors for resume parsing C Hansen, M Tosik, G Goossen, C Li, L Bayeva, F Berbain, M Rotaru SNN Adaptive Intelligence/Symposium: Machine Learning, 2015 | 10 | 2015 |
Discourse structure and performance analysis: Beyond the correlation M Rotaru, D Litman Proceedings of the SIGDIAL 2009 Conference, 178-187, 2009 | 10 | 2009 |
Improving question answering for reading comprehension tests by combining multiple systems M Rotaru, DJ Litman Proceedings of the AAAI 2005 Workshop on Question Answering in Restricted …, 2005 | 10 | 2005 |
Dependencies between student state and speech recognition problems in spoken tutoring dialogues M Rotaru, D Litman Proceedings of the 21st International Conference on Computational …, 2006 | 9 | 2006 |
Discourse structure and speech recognition problems M Rotaru, DJ Litman Discourse 7, 93.0, 2006 | 9 | 2006 |
Best practices for learning domain-specific cross-lingual embeddings L Shakurova, B Nyari, C Li, M Rotaru arXiv preprint arXiv:1907.03112, 2019 | 8 | 2019 |
Bootstrapping information extraction mappings by similarity-based reuse of taxonomies M Spitters, R Bonnema, M Rotaru, J Zavrel CEUR Workshop Proceedings 673, 2010 | 7 | 2010 |