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2020 – today

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2024
[j7]
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Dragos-Georgian Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara:
The automated model of comprehension version 4.0 - Validation studies and integration of ChatGPT. Comput. Hum. Behav. 154: 108154 (2024)
[c49]
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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
[c48]
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Scott A. Crossley, Perpetual Baffour, Mihai Dascalu, Stefan Ruseti:
A World CLASSE Student Summary Corpus. BEA 2024: 99-107
[c47]
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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
2023
[j6]
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Christian Scheibenzuber, Laurentiu-Marian Neagu, Stefan Ruseti, Benedikt Artmann, Carolin Bartsch, Montgomery Kubik, Mihai Dascalu, Stefan Trausan-Matu, Nicolae Nistor:
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]
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Alexandru Dima, Stefan Ruseti, Denis Iorga, Cosmin Karl Banica, Mihai Dascalu:
Multi-Task Romanian Email Classification in a Business Context. Inf. 14(6): 321 (2023)
[c46]
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Dragos Corlatescu, Micah Watanabe, Stefan Ruseti, Mihai Dascalu, Danielle S. McNamara:
The Automated Model of Comprehension Version 3.0: Paying Attention to Context. AIED 2023: 229-241
[c45]
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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]
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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]
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  - journals/algorithms/NiculescuRD22
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Mihai Alexandru Niculescu, Stefan Ruseti, Mihai Dascalu:
RoSummary: Control Tokens for Romanian News Summarization. Algorithms 15(12): 472 (2022)
[c43]
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  - conf/kes/PatrascuPRR22
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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]
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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]
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  - conf/rochi/PredaRTD22
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Andrei Preda, Stefan Ruseti, Simina Terian-Dan, Mihai Dascalu:
Romanian Fake News Identification using Language Models. RoCHI 2022: 73-79
[c40]
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Andreea-Nicoleta Dutulescu, Mihai Dascalu, Stefan Ruseti:
Unsupervised Extractive Summarization with BERT. SYNASC 2022: 158-164
2021
[j3]
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  - journals/chb/DascaluRDMCRT21
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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)
[c39]
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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]
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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
[c37]
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Mihai Alexandru Niculescu, Stefan Ruseti, Mihai Dascalu:
RoGPT2: Romanian GPT2 for Text Generation. ICTAI 2021: 1154-1161
[c36]
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  - conf/ranlp/ForetRSDT21
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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]
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  - conf/slerd/DascaluRDMT21
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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]
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Dragos-Georgian Corlatescu, Stefan Ruseti, Mihai Dascalu:
Romanian Syllabification Using Deep Neural Networks. SLERD 2021: 93-102
[c33]
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  - conf/slerd/BusiocDRTDR21
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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]
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  - journals/eait/WesteraPMSDGGNB20
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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)
[c32]
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  - conf/aied/DascaluRDMT20
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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
[c31]
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  - conf/coling/MasalaRD20
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Mihai Masala, Stefan Ruseti, Mihai Dascalu:
RoBERT - A Romanian BERT Model. COLING 2020: 6626-6637
[c30]
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  - conf/ictai/CotetRD20
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Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu:
Neural Grammatical Error Correction for Romanian. ICTAI 2020: 625-631
[c29]
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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
[c28]
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  - conf/synasc/TitiliucRD20
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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]
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  - journals/corr/abs-2009-02743
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Stefan Ruseti, Teodor-Mihai Cotet, Mihai Dascalu:
Romanian Diacritics Restoration Using Recurrent Neural Networks. CoRR abs/2009.02743 (2020)

2010 – 2019

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2019
[c27]
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  - conf/aied/RusetiLGDJG19
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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
[c26]
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  - conf/cscl/LalaGRJDDGH19
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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]
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  - conf/cscs/PanaiteRDT19
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Marilena Panaite, Stefan Ruseti, Mihai Dascalu, Stefan Trausan-Matu:
Towards a Deep Speech Model for Romanian Language. CSCS 2019: 416-419
[c24]
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  - conf/ectel/PanaiteRDBMT19
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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
[c23]
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  - conf/emnlp/PirtoacaRR19
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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]
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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
[c21]
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George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Improving Retrieval-Based Question Answering with Deep Inference Models. IJCNN 2019: 1-8
[i2]
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  - journals/corr/abs-1909-00596
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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]
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  - journals/ce/WesteraDKRT18
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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)
[c20]
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  - conf/aied/MasalaRGRDT18
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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]
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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
[c18]
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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]
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  - conf/ecir/NiculaRR18
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Bogdan Nicula, Stefan Ruseti, Traian Rebedea:
Improving Deep Learning for Multiple Choice Question Answering with Candidate Contexts. ECIR 2018: 678-683
[c16]
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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]
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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
[c14]
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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]
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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
[i1]
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  - journals/corr/abs-1812-02971
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George-Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti:
Improving Retrieval-Based Question Answering with Deep Inference Models. CoRR abs/1812.02971 (2018)
2017
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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
[c11]
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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
[c10]
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Gabriel Gutu, Mihai Dascalu, Stefan Ruseti, Traian Rebedea, Stefan Trausan-Matu:
Unlocking the Power of Word2Vec for Identifying Implicit Links. ICALT 2017: 199-200
[c9]
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  - conf/kes/MasalaRR17
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Mihai Masala, Stefan Ruseti, Traian Rebedea:
Sentence selection with neural networks using string kernels. KES 2017: 1774-1782
[c8]
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  - https://dblp.org/rec/conf/rochi/StanciuVRR17
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]
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  - conf/aimsa/SecuiSDCRT16
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Ana Secui, Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Stefan Ruseti, Stefan Trausan-Matu:
Expressing Sentiments in Game Reviews. AIMSA 2016: 352-355
[c6]
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  - conf/rep4nlp/RusetiRT16
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Stefan Ruseti, Traian Rebedea, Stefan Trausan-Matu:
Using Embedding Masks for Word Categorization. Rep4NLP@ACL 2016: 201-205
[c5]
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  - conf/synasc/SirbuSDCRT16
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Dorinela Sirbu, Ana Secui, Mihai Dascalu, Scott Andrew Crossley, Stefan Ruseti, Stefan Trausan-Matu:
Extracting Gamers' Opinions from Reviews. SYNASC 2016: 227-232
2015
[c4]
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  - electronic edition @ ceur-ws.org (open access)
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Stefan Ruseti, Alexandru Mirea, Traian Rebedea, Stefan Trausan-Matu:
QAnswer - Enhanced Entity Matching for Question Answering over Linked Data. CLEF (Working Notes) 2015
[c3]
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  - electronic edition @ utcluj.ro (open access)
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Adrian Bogatu, Dorin Rotarescu, Traian Rebedea, Stefan Ruseti:
Conversational Agent that Models a Historical Personality. RoCHI 2015: 81-86
[c2]
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  - conf/roedunet/NiculaRR15
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Bogdan Nicula, Stefan Ruseti, Traian Rebedea:
Enhancing property and type detection for a QA system over linked data. RoEduNet 2015: 167-172
2012
[c1]
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  - conf/clef/RusetiR12
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Stefan Ruseti, Traian Rebedea:
Authorship Identification Using a Reduced Set of Linguistic Features. CLEF (Online Working Notes/Labs/Workshop) 2012

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