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ORCIDMihai Dascalu
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- affiliation: Politehnica University of Bucharest, Romania
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2020 – today
- 2022
[c153]George-Eduard Zaharia, Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Mihai Dascalu:
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification. ACL (1) 2022: 70-80- [c152]Robert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara:
Multitask Summary Scoring with Longformers. AIED (1) 2022: 756-761 - [c151]Laurentiu-Marian Neagu, Eric Rigaud, Vincent Guarnieri, Mihai Dascalu, Sébastien Travadel:
Selfit v2 - Challenges Encountered in Building a Psychomotor Intelligent Tutoring System. ITS 2022: 350-361 - [c150]Dragos Corlatescu, Stefan Ruseti, Irina Toma, Mihai Dascalu:
Where are the Large N Studies in Education?: Introducing a Dataset of Scientific Articles and NLP Techniques. L@S 2022: 461-465 - [c149]Andrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel:
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification. SemEval@NAACL 2022: 618-625 - [e2]Óscar Mealha, Mihai Dascalu
, Tania Di Mascio:
Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education - Proceedings of the 6th International Conference on Smart Learning Ecosystems and Regional Development, SLERD 2021, Bucharest, Romania, June 2021. Smart Innovation, Systems and Technologies 249, Springer 2022, ISBN 978-981-16-3929-6 [contents] - [i10]George-Eduard Zaharia, Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Mihai Dascalu:
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification. CoRR abs/2205.07283 (2022) - [i9]Andrei Paraschiv, Mihai Dascalu, Dumitru-Clementin Cercel:
UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification. CoRR abs/2205.14769 (2022) - 2021
- [j17]Maria-Dorinela Dascalu, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara, Mihai Carabas, Traian Rebedea, Stefan Trausan-Matu:
Before and during COVID-19: A Cohesion Network Analysis of students' online participation in moodle courses. Comput. Hum. Behav. 121: 106780 (2021) - [j16]Bogdan Nicula, Mihai Dascalu, Natalie Newton, Ellen Orcutt, Danielle S. McNamara:
Automated Paraphrase Quality Assessment Using Language Models and Transfer Learning. Comput. 10(12): 166 (2021) - [c148]Robert-Mihai Botarleanu, Mihai Dascalu, Micah Watanabe, Danielle S. McNamara, Scott Andrew Crossley:
Multilingual Age of Exposure. AIED (1) 2021: 77-87 - [c147]Dragos-Georgian Corlatescu, Mihai Dascalu, Danielle S. McNamara:
Automated Model of Comprehension V2.0. AIED (2) 2021: 119-123 - [c146]Mihai Masala, Stefan Ruseti, Mihai Dascalu, Ciprian Dobre:
Extracting and Clustering Main Ideas from Student Feedback Using Language Models. AIED (1) 2021: 282-292 - [c145]Stefan Ruseti, Maria-Dorinela Dascalu, Dragos-Georgian Corlatescu, Mihai Dascalu, Stefan Trausan-Matu, Danielle S. McNamara:
Exploring Dialogism Using Language Models. AIED (2) 2021: 296-301 - [c144]Remus Florentin Ionita, Dragos-Georgian Corlatescu, Mihai Dascalu, Danielle S. McNamara:
Predicting the Global Impact of Authors from the Learning Analytics Community - A Case Study grounded in CNA. CSCS 2021: 439-446 - [c143]Denis Iorga, Dragos-Georgian Corlatescu, Octavian Grigorescu, Cristian Sandescu, Mihai Dascalu, Razvan Rughinis:
Yggdrasil - Early Detection of Cybernetic Vulnerabilities from Twitter. CSCS 2021: 463-468 - [c142]Mihai Alexandru Niculescu, Stefan Ruseti, Mihai Dascalu:
RoGPT2: Romanian GPT2 for Text Generation. ICTAI 2021: 1154-1161 - [c141]Laurentiu-Marian Neagu, Eric Rigaud, Vincent Guarnieri, Sébastien Travadel, Mihai Dascalu:
Selfit - An Intelligent Tutoring System for Psychomotor Development. ITS 2021: 291-295 - [c140]Robert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara:
Automated Summary Scoring with ReaderBench. ITS 2021: 321-332 - [c139]Bogdan Nicula, Mihai Dascalu, Natalie Newton, Ellen Orcutt, Danielle S. McNamara:
Automated Paraphrase Quality Assessment Using Recurrent Neural Networks and Language Models. ITS 2021: 333-340 - [c138]Pierre Frode de la Foret, Stefan Ruseti, Cristian Sandescu, Mihai Dascalu, Sébastien Travadel:
Interpretable Identification of Cybersecurity Vulnerabilities from News Articles. RANLP 2021: 428-436 - [c137]Irina Toma, Bianca-Eugenia Stefan, Mihai Dascalu, Stefan Trausan-Matu:
The Astronaut Game - A Vocabulary Game Employing Natural Language Processing Techniques. RoCHI 2021: 68-73 - [c136]Denis Iorga, Octavian Grigorescu, Mihai Predoiu, Cristian Sandescu, Mihai Dascalu, Razvan Rughinis:
Early Usability Evaluation to Enhance User Interfaces - A Use Case on the Yggdrasil Cybersecurity Mockup. RoCHI 2021: 103-110 - [c135]Melania Nitu, Mihai Dascalu, Gabriel Gutu-Robu, Maria-Iuliana Dascalu, Silvia Tomescu:
Lib2Life - Domain Categorization of Books using BERT Language Models and Knowledge Graph Population. RoCHI 2021: 176-181 - [c134]Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection. SemEval@ACL/IJCNLP 2021: 225-232 - [c133]Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering. SemEval@ACL/IJCNLP 2021: 534-540 - [c132]George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction. SemEval@ACL/IJCNLP 2021: 609-616 - [c131]Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense. SemEval@ACL/IJCNLP 2021: 1160-1168 - [c130]Maria-Dorinela Dascalu, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara, Stefan Trausan-Matu:
Dialogism Meets Language Models for Evaluating Involvement in CSCL Conversations. SLERD 2021: 67-78 - [c129]Laurentiu-Marian Neagu, Eric Rigaud, Vincent Guarnieri, Gabriel-Danut Matei, Sébastien Travadel, Mihai Dascalu:
Selfit - Accounting for Sexual Dimorphism in Personalized Motor Skills Learning. SLERD 2021: 79-92 - [c128]Dragos-Georgian Corlatescu, Stefan Ruseti, Mihai Dascalu:
Romanian Syllabification Using Deep Neural Networks. SLERD 2021: 93-102 - [c127]Costin Busioc, Vlad Cristian Dumitru, Stefan Ruseti, Simina Terian-Dan, Mihai Dascalu, Traian Rebedea:
What Are the Latest Fake News in Romanian Politics? An Automated Analysis Based on BERT Language Models. SLERD 2021: 201-212 - [c126]Dan Ungureanu, Madalina Badeanu, Gabriela-Catalina Marica, Mihai Dascalu, Dan Tufis:
Establishing a Baseline of Romanian Speech-to-Text Models. SpeD 2021: 132-138 - [c125]Cristiana Vladescu, Maria-Alexandra Dinisor, Octavian Grigorescu, Dragos Corlatescu, Cristian Sandescu, Mihai Dascalu:
What are the Latest Cybersecurity Trends? A Case Study Grounded in Language Models. SYNASC 2021: 140-146 - [c124]Ion Babalau, Dragos Corlatescu, Octavian Grigorescu, Cristian Sandescu, Mihai Dascalu:
Severity Prediction of Software Vulnerabilities based on their Text Description. SYNASC 2021: 171-177 - [e1]Mihai Dascalu, Suzanne Kieffer:
18th International Conference on Human-Computer Interaction, RoCHI 2021, Bucharest, Romania / Online, September 16-17, 2021. Matrix Rom 2021 [contents] - [i8]Andrei-Marius Avram, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering. CoRR abs/2104.04549 (2021) - [i7]Razvan-Alexandru Smadu, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 7: Adversarial Multi-Task Learning for Detecting and Rating Humor and Offense. CoRR abs/2104.06063 (2021) - [i6]George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction. CoRR abs/2104.06983 (2021) - [i5]Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection. CoRR abs/2104.08635 (2021) - [i4]Andrei-Marius Avram, Darius Catrina, Dumitru-Clementin Cercel, Mihai Dascalu, Traian Rebedea, Vasile Florian Pais, Dan Tufis:
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers. CoRR abs/2112.12650 (2021) - 2020
- [j15]Nicolae Nistor, Mihai Dascalu, Christian Tarnai, Stefan Trausan-Matu:
Predicting newcomer integration in online learning communities: Automated dialog assessment in blogger communities. Comput. Hum. Behav. 105: 106202 (2020) - [j14]Wim Westera, Rui Prada, Samuel Mascarenhas, Pedro Santos, João Dias, Manuel Guimarães, Konstantinos Georgiadis, Enkhbold Nyamsuren, Kiavash Bahreini, Zerrin Yumak, Chris Christyowidiasmoro, Mihai Dascalu, Gabriel Gutu-Robu, Stefan Ruseti:
Artificial intelligence moving serious gaming: Presenting reusable game AI components. Educ. Inf. Technol. 25(1): 351-380 (2020) - [j13]Carlo Giovannella, Mihai Dascalu, Gabriella Dodero, Óscar Mealha, Matthias Rehm:
Preface. IxD&A 46: 5-12 (2020) - [c123]Robert-Mihai Botarleanu, Mihai Dascalu, Scott Andrew Crossley, Danielle S. McNamara:
Sequence-to-Sequence Models for Automated Text Simplification. AIED (2) 2020: 31-36 - [c122]Maria-Dorinela Dascalu, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara, Stefan Trausan-Matu:
Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links. AIED (2) 2020: 80-85 - [c121]Bogdan Nicula, Cecile A. Perret, Mihai Dascalu, Danielle S. McNamara:
Extended Multi-document Cohesion Network Analysis Centered on Comprehension Prediction. AIED (2) 2020: 228-233 - [c120]Mihai Masala, Stefan Ruseti, Mihai Dascalu:
RoBERT - A Romanian BERT Model. COLING 2020: 6626-6637 - [c119]George-Alexandru Vlad, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB @ DANKMEMES: Italian Memes Analysis - Employing Visual Models and Graph Convolutional Networks for Meme Identification and Hate Speech Detection (short paper). EVALITA 2020 - [c118]Bogdan Nicula, Cecile A. Perret, Mihai Dascalu, Danielle S. McNamara:
Multi-document Cohesion Network Analysis: Automated Prediction of Inferencing across Multiple Documents. ICTAI 2020: 343-348 - [c117]George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
Cross-Lingual Transfer Learning for Complex Word Identification. ICTAI 2020: 384-390 - [c116]Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu:
Neural Grammatical Error Correction for Romanian. ICTAI 2020: 625-631 - [c115]Maria-Dorinela Dascalu, Mihai Dascalu, Stefan Ruseti, Mihai Carabas, Stefan Trausan-Matu, Danielle S. McNamara:
Cohesion Network Analysis: Predicting Course Grades and Generating Sociograms for a Romanian Moodle Course. ITS 2020: 174-183 - [c114]Laurentiu-Marian Neagu, Eric Rigaud, Sébastien Travadel, Mihai Dascalu, Razvan-Victor Rughinis:
Intelligent Tutoring Systems for Psychomotor Training - A Systematic Literature Review. ITS 2020: 335-341 - [c113]Irina Mitocaru, Gabriel Gutu-Robu, Melania Nitu, Mihai Dascalu, Stefan Trausan-Matu, Silvia Tomescu, Gabriela Florescu:
The Lib2Life Platform - Processing, Indexing and Semantic Search for Old Romanian Documents. RoCHI 2020: 11-18 - [c112]Irina Toma, Laurentiu-Marian Neagu, Mihai Dascalu, Stefan Trausan-Matu, Laurentiu Hanganu, Eugen Simion:
Emerging Patterns in Romanian Literature and Interactive Visualizations based on the General Dictionary of Romanian Literature. RoCHI 2020: 19-26 - [c111]Bianca Nenciu, Dragos Corlatescu, Mihai Dascalu:
RASA Conversational Agent in Romanian for Predefined Microworlds. RoCHI 2020: 87-94 - [c110]Gabriel Boroghina, Dragos Corlatescu, Mihai Dascalu:
Conversational Agent in Romanian for Storing User Information in a Knowledge Graph. RoCHI 2020: 95-102 - [c109]Denis Iorga, Dragos Corlatescu, Octavian Grigorescu, Cristian Sandescu, Mihai Dascalu, Razvan Rughinis:
Early Detection of Vulnerabilities from News Websites using Machine Learning Models. RoEduNet 2020: 1-6 - [c108]Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT. SemEval@COLING 2020: 1853-1857 - [c107]Mircea-Adrian Tanase, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
Detecting Aggressiveness in Mexican Spanish Social Media Content by Fine-Tuning Transformer-Based Models. IberLEF@SEPLN 2020: 236-245 - [c106]Valentin Sergiu Cioaca, Mihai Dascalu, Danielle S. McNamara:
Extractive Summarization using Cohesion Network Analysis and Submodular Set Functions. SYNASC 2020: 161-168 - [c105]Gabriel Gutu-Robu, Darius Mihai, Mihai Dascalu, Mihai Carabas, Stefan Trausan-Matu, Sunhea Choi, Keith M. Godfrey, Brigitte Angela Brands, Berthold Koletzko:
Cohesion Network Analysis: Customized Curriculum Management in Moodle. SYNASC 2020: 175-181 - [c104]Cosmin Titiliuc, Stefan Ruseti, Mihai Dascalu:
What's Been Happening in the Romanian News Landscape? A Detailed Analysis Grounded in Natural Language Processing Techniques. SYNASC 2020: 195-201 - [i3]Stefan Ruseti, Teodor-Mihai Cotet, Mihai Dascalu:
Romanian Diacritics Restoration Using Recurrent Neural Networks. CoRR abs/2009.02743 (2020) - [i2]Andrei Paraschiv, Dumitru-Clementin Cercel, Mihai Dascalu:
UPB at SemEval-2020 Task 11: Propaganda Detection with Domain-Specific Trained BERT. CoRR abs/2009.05289 (2020) - [i1]George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
Cross-Lingual Transfer Learning for Complex Word Identification. CoRR abs/2010.01108 (2020)
2010 – 2019
- 2019
- [j12]Nicolae Nistor, Mihai Dascalu, Stefan Trausan-Matu:
Joining Informal Learning in Online Knowledge Communities and Formal Learning in Higher Education: Instructional Design and Evaluation of a Blended-Learning Seminar with Learning Analytics Support. IxD&A 43: 110-127 (2019) - [c103]Stefan Ruseti, Raja Lala, Gabriel Gutu-Robu, Mihai Dascalu, Johan Jeuring, Marcell van Geest:
Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning. AIED (2) 2019: 242-246 - [c102]Bogdan Nicula, Cecile A. Perret, Mihai Dascalu, Danielle S. McNamara:
Predicting Multi-document Comprehension: Cohesion Network Analysis. AIED (1) 2019: 358-369 - [c101]Robert-Florian Samoilescu, Mihai Dascalu, Maria-Dorinela Sirbu, Stefan Trausan-Matu, Scott A. Crossley:
Modeling Collaboration in Online Conversations Using Time Series Analysis and Dialogism. AIED (1) 2019: 458-468 - [c100]Raja Lala, Marcell van Geest, Stefan Ruseti, Johan Jeuring, Mihai Dascalu, Jordy van Dortmont, Gabriel Gutu-Robu, Michiel Hulsbergen:
Enhancing Free-text Interactions in a Communication Skills Learning Environment. CSCL 2019 - [c99]Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Stefan Trausan-Matu:
Longitudinal Analysis and Visualization of Participation in Online Courses Powered by Cohesion Network Analysis. CSCL 2019 - [c98]Andrei Simion, Mihai Dascalu, Stefan Trausan-Matu:
Analysis of Trends in Online Romanian News Using Semantic Models. CSCS 2019: 410-415 - [c97]Marilena Panaite, Stefan Ruseti, Mihai Dascalu, Stefan Trausan-Matu:
Towards a Deep Speech Model for Romanian Language. CSCS 2019: 416-419 - [c96]Orlando-Georgian Ene, Maria-Dorinela Sirbu, Mihai Dascalu, Stefan Trausan-Matu, Alexandru Costin Nuta:
PIAM - Intelligent Platform for Retrieving Relevant Information on Drugs Marketed in Romania. CSCS 2019: 420-425 - [c95]Marilena Panaite, Stefan Ruseti, Mihai Dascalu, Renu Balyan, Danielle S. McNamara, Stefan Trausan-Matu:
Automated Scoring of Self-explanations Using Recurrent Neural Networks. EC-TEL 2019: 659-663 - [c94]Irina Toma, Teodor-Mihai Cotet, Mihai Dascalu, Stefan Trausan-Matu:
ReadME - Your Personal Writing Assistant. EC-TEL 2019: 751-755 - [c93]Stefan Ruseti, Maria-Dorinela Sirbu, Mihnea Andrei Calin, Mihai Dascalu, Stefan Trausan-Matu, Gheorghe Militaru:
Comprehensive Exploration of Game Reviews Extraction and Opinion Mining Using NLP Techniques. ICICT (1) 2019: 323-331 - [c92]Bogdan Nicula, Mihai Dascalu, Maria-Dorinela Sirbu, Stefan Trausan-Matu, Alexandru Nuta:
Building a Comprehensive Romanian Knowledge Base for Drug Administration. RANLP 2019: 829-836 - [c91]Boboc Ionut, Mihai Dascalu, Stefan Trausan-Matu:
Image Style Transfer using Text Descriptions. RoCHI 2019: 22-29 - [c90]Ionut Cristian Paraschiv, Dorinela Sirbu, Bogdan Nicula, Mihai Dascalu, Stefan Trausan-Matu, Alexandru Costin Nuta:
Designing an Intelligent Platform for Drugs Administration. RoCHI 2019: 53-59 - [c89]Maria-Dorinela Dascalu, Ionut Cristian Paraschiv, Bogdan Nicula, Mihai Dascalu, Stefan Trausan-Matu, Alexandru Costin Nuta:
Intelligent Platform for the Analysis of Drug Leaflets Using NLP Techniques. RoEduNet 2019: 1-6 - [c88]Laurentiu-Marian Neagu, Teodor-Mihai Cotet, Mihai Dascalu, Stefan Trausan-Matu, Lucian Chisu, Eugen Simion:
Semantic Recommendations and Topic Modeling Based on the Chronology of Romanian Literary Life. SETE@ICWL 2019: 164-174 - [c87]Melania Nitu, Mihai Dascalu, Maria-Iuliana Dascalu, Teodor-Mihai Cotet, Silvia Tomescu:
Reconstructing Scanned Documents for Full-Text Indexing to Empower Digital Library Services. SETE@ICWL 2019: 183-190 - 2018
- [j11]Wim Westera, Mihai Dascalu, Hub Kurvers, Stefan Ruseti, Stefan Trausan-Matu:
Automated essay scoring in applied games: Reducing the teacher bandwidth problem in online training. Comput. Educ. 123: 212-224 (2018) - [j10]Nicolae Nistor, Mihai Dascalu, Yvonne Serafin, Stefan Trausan-Matu:
Automated dialog analysis to predict blogger community response to newcomer inquiries. Comput. Hum. Behav. 89: 349-354 (2018) - [c86]Scott A. Crossley, Maria-Dorinela Sirbu, Mihai Dascalu, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara:
Modeling Math Success Using Cohesion Network Analysis. AIED (2) 2018: 63-67 - [c85]Mihai Masala, Stefan Ruseti, Gabriel Gutu-Robu, Traian Rebedea, Mihai Dascalu, Stefan Trausan-Matu:
Identifying Implicit Links in CSCL Chats Using String Kernels and Neural Networks. AIED (2) 2018: 204-208 - [c84]Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Tiffany Barnes, Collin F. Lynch, Stefan Trausan-Matu:
Exploring Online Course Sociograms Using Cohesion Network Analysis. AIED (2) 2018: 337-342 - [c83]Marilena Panaite, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Jianmin Dai, Danielle S. McNamara, Stefan Trausan-Matu:
Bring It on! Challenges Encountered While Building a Comprehensive Tutoring System Using ReaderBench. AIED (1) 2018: 409-419 - [c82]Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Kristopher J. Kopp, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Predicting Question Quality Using Recurrent Neural Networks. AIED (1) 2018: 491-502 - [c81]Ionut Daniel Chelcioiu, Dragos Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu:
Semantic Meta-search Using Cohesion Network Analysis. AIMSA 2018: 207-217 - [c80]Maria-Dorinela Sirbu, Robert-Mihai Botarleanu, Mihai Dascalu, Scott A. Crossley, Stefan Trausan-Matu:
ReadME - Enhancing Automated Writing Evaluation. AIMSA 2018: 281-285 - [c79]Mihai Dascalu, Ionut Cristian Paraschiv, Danielle S. McNamara, Stefan Trausan-Matu:
Towards an Automated Model of Comprehension (AMoC). EC-TEL 2018: 427-436 - [c78]Mihai Masala, Stefan Ruseti, Gabriel Gutu-Robu, Traian Rebedea, Mihai Dascalu, Stefan Trausan-Matu:
Help Me Understand This Conversation: Methods of Identifying Implicit Links Between CSCL Contributions. EC-TEL 2018: 482-496 - [c77]Mihai Dascalu, Maria-Dorinela Sirbu, Gabriel Gutu-Robu, Stefan Ruseti, Scott A. Crossley, Stefan Trausan-Matu:
Cohesion-Centered Analysis of Sociograms for Online Communities and Courses Using ReaderBench. EC-TEL 2018: 622-626 - [c76]Scott A. Crossley, Jaclyn Ocumpaugh, Matthew J. Labrum, Franklin Bradfield, Mihai Dascalu, Ryan S. Baker:
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features. EDM 2018 - [c75]Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Danielle S. McNamara, Renu Balyan, Kathryn S. McCarthy, Stefan Trausan-Matu:
Scoring Summaries Using Recurrent Neural Networks. ITS 2018: 191-201 - [c74]Andrei Mardale, Gabriel Gutu-Robu, Mihai Dascalu, Stefan Trausan-Matu:
ReaderBench Talk: Online Conversations Empowered by Advanced NLP Techniques. RoCHI 2018: 63-70 - [c73]Dragos-Georgian Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu, Cosmin Karl Banica:
Concurrent Processing of Scientific Articles using Cohesion Network Analysis. RoEduNet 2018: 1-5 - 2017
- [c72]Mihai Dascalu, Wim Westera, Stefan Ruseti, Stefan Trausan-Matu, Hub Kurvers:
ReaderBench Learns Dutch: Building a Comprehensive Automated Essay Scoring System for Dutch Language. AIED 2017: 52-63 - [c71]Mihai Dascalu, Matthew E. Jacovina, Christian M. Soto, Laura K. Allen, Jianmin Dai, Tricia A. Guerrero, Danielle S. McNamara:
Teaching iSTART to Understand Spanish. AIED 2017: 485-489 - [c70]Mihai Dascalu, Laura K. Allen, Danielle S. McNamara, Stefan Trausan-Matu, Scott A. Crossley:
Modeling Comprehension Processes via Automated Analyses of Dialogism. CogSci 2017 - [c69]Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker, Stefan Trausan-Matu:
Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis. CSCL 2017 - [c68]Gabriel Gutu, Mihai Dascalu, Traian Rebedea, Stefan Trausan-Matu:
Time and Semantic Similarity - What is the Best Alternative to Capture Implicit Links in CSCL Conversations? CSCL 2017 - [c67]Gabriel Gutu, Mihai Dascalu, Stefan Trausan-Matu, Olivier Lepoivre:
How Adequate Is Your CV? Analyzing French CVs with ReaderBench. CSCS 2017: 559-565 - [c66]Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu, Nicolae Nistor, Ambar Murillo Montes de Oca, Danielle S. McNamara:
Semantic Similarity versus Co-Authorship Networks: A Detailed Comparison. CSCS 2017: 566-570 - [c65]Mihai Dascalu, Philippe Dessus, Laurent Thuez, Stefan Trausan-Matu:
How Well Do Student Nurses Write Case Studies? A Cohesion-Centered Textual Complexity Analysis. EC-TEL 2017: 43-53 - [c64]Mihai Dascalu, Gabriel Gutu, Stefan Ruseti, Ionut Cristian Paraschiv, Philippe Dessus, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
ReaderBench: A Multi-lingual Framework for Analyzing Text Complexity. EC-TEL 2017: 495-499 - [c63]Nicolae Nistor, Mihai Dascalu, Gabriel Gutu, Stefan Trausan-Matu, Sunhea Choi, Ashley Haberman-Lawson, Brigitte Angela Brands, Christian Körner, Berthold Koletzko:
Mass Customization in Continuing Medical Education: Automated Extraction of E-Learning Topics. EC-TEL 2017: 576-579 - [c62]Irina Toma, Cristina-Elena Alexandru, Mihai Dascalu, Philippe Dessus, Stefan Trausan-Matu:
Semantic Boggle: A Game for Vocabulary Acquisition. EC-TEL 2017: 606-609 - [c61]Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara:
How Important Is Size? An Investigation of Corpus Size and Meaning in Both Latent Semantic Analysis and Latent Dirichlet Allocation. FLAIRS Conference 2017: 293-296 - [c60]Gabriel Gutu, Mihai Dascalu, Stefan Ruseti, Traian Rebedea, Stefan Trausan-Matu:
Unlocking the Power of Word2Vec for Identifying Implicit Links. ICALT 2017: 199-200 - [c59]Alexandru Grigoroiu, Irina Toma, Mihai Dascalu, Stefan Trausan-Matu:
LearnerSkill - A Serious Hex Wars Game Centered on Learner Comprehension. RoCHI 2017: 11-14 - [c58]Dragos-Georgian Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu, Stefan Trausan-Matu, Nicolae Nistor:
Predicting through writing style the impact of blog posts in online communities. RoEduNet 2017: 1-4 - [c57]Dorinela Sirbu, Marilena Panaite, Ana Secui, Mihai Dascalu, Nicolae Nistor, Stefan Trausan-Matu:
ReaderBench: Building Comprehensive Sociograms of Online Communities. SYNASC 2017: 225-231 - [c56]Nicolae Nistor, Marilena Panaite, Mihai Dascalu, Stefan Trausan-Matu:
Identifying Socio-Cognitive Structures in Online Knowledge Building Communities Using Cohesion Network Analysis. SYNASC 2017: 271-274 - 2016
- [c55]Mihai Dascalu, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Age of Exposure: A Model of Word Learning. AAAI 2016: 2928-2934 - [c54]