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Stefan Ruseti
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2020 – today
- 2024
- [j7]Dragos-Georgian Corlatescu, Micah Watanabe
, Stefan Ruseti, Mihai Dascalu
The automated model of comprehension version 4.0 - Validation studies and integration of ChatGPT. Comput. Hum. Behav. 154: 108154 (2024) - [c50]Andreea-Nicoleta Dutulescu, Stefan Ruseti, Denis Iorga, Mihai Dascalu, Danielle S. McNamara:
Beyond the Obvious Multi-choice Options: Introducing a Toolkit for Distractor Generation Enhanced with NLI Filtering. AIED (2) 2024: 242-250 - [c49]Scott A. Crossley, Perpetual Baffour, Mihai Dascalu, Stefan Ruseti:
A World CLASSE Student Summary Corpus. BEA 2024: 99-107 - [c48]Andreea-Nicoleta Dutulescu, Stefan Ruseti, Mihai Dascalu, Danielle McNamara:
How Hard can this Question be? An Exploratory Analysis of Features Assessing Question Difficulty using LLMs. EDM 2024 - [c47]Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea:
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics. EMNLP 2024: 2990-3001 - [i4]Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea:
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics. CoRR abs/2410.03429 (2024) - 2023
- [j6]Christian Scheibenzuber
Dialog in the echo chamber: Fake news framing predicts emotion, argumentation and dialogic social knowledge building in subsequent online discussions. Comput. Hum. Behav. 140: 107587 (2023) - [j5]Alexandru Dima, Stefan Ruseti
Multi-Task Romanian Email Classification in a Business Context. Inf. 14(6): 321 (2023) - [c46]Dragos Corlatescu, Micah Watanabe
The Automated Model of Comprehension Version 3.0: Paying Attention to Context. AIED 2023: 229-241 - [c45]Vlad Cristian Dumitru, Denis Iorga, Stefan Ruseti, Mihai Dascalu:
Garbage in, garbage out: An analysis of HTML text extractors and their impact on NLP performance. CSCS 2023: 403-410 - [c44]Andreea-Nicoleta Dutulescu, Mihai Iamandei, Laurentiu-Marian Neagu, Stefan Ruseti, Vladimir Ghita, Mihai Dascalu:
What is the Price of Your Used Car? Automated Predictions using XGBoost and Neural Networks. CSCS 2023: 418-425 - 2022
- [j4]Mihai Alexandru Niculescu, Stefan Ruseti
RoSummary: Control Tokens for Romanian News Summarization. Algorithms 15(12): 472 (2022) - [c43]Cristian-Bogdan Patrascu, George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
More with Less: ZeroQA and Relevant Subset Selection for AI2 Reasoning Challenge. KES 2022: 2757-2766 - [c42]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 - [c41]Andrei Preda, Stefan Ruseti, Simina Terian-Dan, Mihai Dascalu:
Romanian Fake News Identification using Language Models. RoCHI 2022: 73-79 - [c40]Andreea-Nicoleta Dutulescu, Mihai Dascalu, Stefan Ruseti:
Unsupervised Extractive Summarization with BERT. SYNASC 2022: 158-164 - 2021
- [j3]Maria-Dorinela Dascalu, Stefan Ruseti, Mihai Dascalu
Before and during COVID-19: A Cohesion Network Analysis of students' online participation in moodle courses. Comput. Hum. Behav. 121: 106780 (2021) - [c39]Mihai Masala, Stefan Ruseti, Mihai Dascalu, Ciprian Dobre:
Extracting and Clustering Main Ideas from Student Feedback Using Language Models. AIED (1) 2021: 282-292 - [c38]Stefan Ruseti, Maria-Dorinela Dascalu, Dragos-Georgian Corlatescu, Mihai Dascalu, Stefan Trausan-Matu
Exploring Dialogism Using Language Models. AIED (2) 2021: 296-301 - [c37]Mihai Alexandru Niculescu, Stefan Ruseti, Mihai Dascalu:
RoGPT2: Romanian GPT2 for Text Generation. ICTAI 2021: 1154-1161 - [c36]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 - [c35]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 - [c34]Dragos-Georgian Corlatescu, Stefan Ruseti, Mihai Dascalu:
Romanian Syllabification Using Deep Neural Networks. SLERD 2021: 93-102 - [c33]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 - 2020
- [j2]Wim Westera
Artificial intelligence moving serious gaming: Presenting reusable game AI components. Educ. Inf. Technol. 25(1): 351-380 (2020) - [c32]Maria-Dorinela Dascalu
Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links. AIED (2) 2020: 80-85 - [c31]Mihai Masala, Stefan Ruseti, Mihai Dascalu:
RoBERT - A Romanian BERT Model. COLING 2020: 6626-6637 - [c30]Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu:
Neural Grammatical Error Correction for Romanian. ICTAI 2020: 625-631 - [c29]Maria-Dorinela Dascalu
Cohesion Network Analysis: Predicting Course Grades and Generating Sociograms for a Romanian Moodle Course. ITS 2020: 174-183 - [c28]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)
2010 – 2019
- 2019
- [c27]Stefan Ruseti, Raja Lala, Gabriel Gutu-Robu
Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning. AIED (2) 2019: 242-246 - [c26]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 - [c25]Marilena Panaite, Stefan Ruseti, Mihai Dascalu
Towards a Deep Speech Model for Romanian Language. CSCS 2019: 416-419 - [c24]Marilena Panaite, Stefan Ruseti, Mihai Dascalu
Automated Scoring of Self-explanations Using Recurrent Neural Networks. EC-TEL 2019: 659-663 - [c23]George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Answering questions by learning to rank - Learning to rank by answering questions. EMNLP/IJCNLP (1) 2019: 2531-2540 - [c22]Stefan Ruseti, Maria-Dorinela Sirbu, Mihnea Andrei Calin, Mihai Dascalu
Comprehensive Exploration of Game Reviews Extraction and Opinion Mining Using NLP Techniques. ICICT (1) 2019: 323-331 - [c21]George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Improving Retrieval-Based Question Answering with Deep Inference Models. IJCNN 2019: 1-8 - [i2]George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Answering questions by learning to rank - Learning to rank by answering questions. CoRR abs/1909.00596 (2019) - 2018
- [j1]Wim Westera
Automated essay scoring in applied games: Reducing the teacher bandwidth problem in online training. Comput. Educ. 123: 212-224 (2018) - [c20]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 - [c19]Stefan Ruseti, Mihai Dascalu
Predicting Question Quality Using Recurrent Neural Networks. AIED (1) 2018: 491-502 - [c18]Ionel-Alexandru Hosu, Radu Cristian Alexandru Iacob, Florin Brad, Stefan Ruseti, Traian Rebedea:
Natural Language Interface for Databases Using a Dual-Encoder Model. COLING 2018: 514-524 - [c17]Bogdan Nicula, Stefan Ruseti, Traian Rebedea:
Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts. ECIR 2018: 678-683 - [c16]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 - [c15]Mihai Dascalu
Cohesion-Centered Analysis of Sociograms for Online Communities and Courses Using ReaderBench. EC-TEL 2018: 622-626 - [c14]Florin Brad, Radu Cristian Alexandru Iacob, Ionel-Alexandru Hosu, Stefan Ruseti, Traian Rebedea:
A Syntax-Guided Neural Model for Natural Language Interfaces to Databases. ICTAI 2018: 229-233 - [c13]Stefan Ruseti, Mihai Dascalu
Scoring Summaries Using Recurrent Neural Networks. ITS 2018: 191-201 - [i1]George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Improving Retrieval-Based Question Answering with Deep Inference Models. CoRR abs/1812.02971 (2018) - 2017
- [c12]Mihai Dascalu
ReaderBench Learns Dutch: Building a Comprehensive Automated Essay Scoring System for Dutch Language. AIED 2017: 52-63 - [c11]Mihai Dascalu
ReaderBench: A Multi-lingual Framework for Analyzing Text Complexity. EC-TEL 2017: 495-499 - [c10]Gabriel Gutu
Unlocking the Power of Word2Vec for Identifying Implicit Links. ICALT 2017: 199-200 - [c9]Mihai Masala
Sentence selection with neural networks using string kernels. KES 2017: 1774-1782 - [c8]Marius Valeriu Stanciu, Eugen Vasilescu, Stefan Ruseti, Traian Rebedea:
Mapping Questions to Ontology Components for Question Answering over Linked Data. RoCHI 2017: 155-158 - 2016
- [c7]Ana Secui, Maria-Dorinela Sirbu, Mihai Dascalu
Expressing Sentiments in Game Reviews. AIMSA 2016: 352-355 - [c6]Stefan Ruseti, Traian Rebedea, Stefan Trausan-Matu:
Using Embedding Masks for Word Categorization. Rep4NLP@ACL 2016: 201-205 - [c5]Dorinela Sirbu, Ana Secui, Mihai Dascalu
Extracting Gamers' Opinions from Reviews. SYNASC 2016: 227-232 - 2015
- [c4]Stefan Ruseti, Alexandru Mirea, Traian Rebedea, Stefan Trausan-Matu:
QAnswer - Enhanced Entity Matching for Question Answering over Linked Data. CLEF (Working Notes) 2015 - [c3]Adrian Bogatu, Dorin Rotarescu, Traian Rebedea, Stefan Ruseti:
Conversational Agent that Models a Historical Personality. RoCHI 2015: 81-86 - [c2]Bogdan Nicula, Stefan Ruseti, Traian Rebedea:
Enhancing property and type detection for a QA system over linked data. RoEduNet 2015: 167-172 - 2012
- [c1]Stefan Ruseti, Traian Rebedea:
Authorship Identification Using a Reduced Set of Linguistic Features. CLEF (Online Working Notes/Labs/Workshop) 2012
Coauthor Index
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last updated on 2024-11-15 19:27 CET by the dblp team
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