| Exploring neural text simplification models S Nisioi, S Štajner, SP Ponzetto, LP Dinu Proceedings of the 55th annual meeting of the association for computational …, 2017 | 345 | 2017 |
| Simplifying Lexical Simplification: Do We Need Simplified Corpora? G Glavaš, S Štajner The 53rd Annual Meeting of the Association for Computational Linguistics and …, 2015 | 236 | 2015 |
| A report on the complex word identification shared task 2018 S Štajner, C Biemann, S Malmasi, G Paetzold, L Specia, A Tack, ... Proceedings of the 13th Workshop on Innovative Use of NLP for Building …, 2018 | 231* | 2018 |
| Making It Simplext: Implementation and Evaluation of a Text Simplification System for Spanish H Saggion, S Stajner, S Bott, S Mille, L Rello, B Drndarevic ACM Transactions on Accessible Computing (TACCESS) 6 (4), 2015 | 187 | 2015 |
| What can readability measures really tell us about text complexity S Štajner, R Evans, C Orasan, R Mitkov Proceedings of workshop on natural language processing for improving textual …, 2012 | 132 | 2012 |
| Can text simplification help machine translation? S Štajner, M Popović Proceedings of the 19th Annual Conference of the European Association for …, 2016 | 101 | 2016 |
| Automatic Text Simplification for Social Good: Progress and Challenges S Štajner | 96 | 2021 |
| CWIG3G2-complex word identification task across three text genres and two user groups SM Yimam, S Štajner, M Riedl, C Biemann Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 68 | 2017 |
| Findings of the TSAR-2022 shared task on multilingual lexical simplification H Saggion, S Štajner, D Ferrés, KC Sheang, M Shardlow, K North, ... Proceedings of the Workshop on Text Simplification, Accessibility, and …, 2022 | 63 | 2022 |
| Multilingual and Cross-Lingual Complex Word Identification. SM Yimam, S Stajner, M Riedl, C Biemann RANLP, 813-822, 2017 | 60 | 2017 |
| A survey of automatic personality detection from texts S Štajner, S Yenikent Proceedings of the 28th international conference on computational …, 2020 | 59 | 2020 |
| CATS: A tool for customized alignment of text simplification corpora S Štajner, M Franco-Salvador, P Rosso, SP Ponzetto Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 58 | 2018 |
| A Deeper Exploration of the Standard PB-SMT Approach to Text Simplification and its Evaluation S Štajner, H Béchara, H Saggion The 53rd Annual Meeting of the Association for Computational Linguistics and …, 2015 | 52 | 2015 |
| Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies S Štajner, I Calixto, H Saggion Recent Advances in Natural Language Processing (RANLP), 618-625, 2015 | 51 | 2015 |
| Lexical simplification benchmarks for English, Portuguese, and Spanish S Stajner, D Ferrés, M Shardlow, K North, M Zampieri, H Saggion Frontiers in Artificial Intelligence, 2022 | 49 | 2022 |
| Automatic text simplification in spanish: A comparative evaluation of complementing modules B Drndarević, S Štajner, S Bott, S Bautista, H Saggion International Conference on Intelligent Text Processing and Computational …, 2013 | 45 | 2013 |
| Why is MBTI personality detection from texts a difficult task? S Štajner, S Yenikent Proceedings of the 16th conference of the European chapter of the …, 2021 | 43 | 2021 |
| One step closer to automatic evaluation of text simplification systems S Štajner, R Mitkov, H Saggion Proceedings of the 3rd Workshop on Predicting and Improving Text Readability …, 2014 | 41 | 2014 |
| Sentence alignment methods for improving text simplification systems S Štajner, M Franco-Salvador, SP Ponzetto, P Rosso, H Stuckenschmidt Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 40 | 2017 |
| Leveraging event-based semantics for automated text simplification S Štajner, G Glavaš Expert systems with applications 82, 383-395, 2017 | 38 | 2017 |
Horacio SaggionChair in Computer Science & Artificial Intelligence, Universitat Pompeu Fabra, DTIC. Head of TALN.Verified email at upf.edu
