| PAN 2017: Author Profiling-Gender and Language Variety Prediction. M Martinc, I Skrjanec, K Zupan, S Pollak CLEF (Working Notes), 2017 | 63* | 2017 |
| Detecting contrast patterns in newspaper articles by combining discourse analysis and text mining S Pollak, R Coesemans, W Daelemans, N Lavrač Pragmatics 21 (4), 647-683, 2011 | 36 | 2011 |
| Predicting the level of text standardness in user generated content. N Ljubešić, D Fišer, T Erjavec, J Čibej, IŠ Marko, Dafne, Senja Pollak Proceedings of the International Conference Recent Advances in Natural …, 2015 | 30* | 2015 |
| NLP workflow for on-line definition extraction from English and Slovene text corpora S Pollak, A Vavpetič, J Kranjc, Š Vintar, N Lavrac Konvens, 2012 | 18 | 2012 |
| Building and using comparable corpora for domain-specific bilingual lexicon extraction D Fišer, N Ljubešić, Š Vintar, S Pollak Proceedings of the 4th Workshop on Building and Using Comparable Corpora …, 2011 | 17 | 2011 |
| Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources. D Fiser, S Pollak, S Vintar LREC, 2010 | 15 | 2010 |
| tax2vec: Constructing interpretable features from taxonomies for short text classification B Škrlj, M Martinc, J Kralj, N Lavrač, S Pollak Computer Speech & Language 65, 101104, 2020 | 12 | 2020 |
| The Good, the Bad, and the AHA! Blends. P Martins, T Urbancic, S Pollak, N Lavrac, A Cardoso ICCC, 166-173, 2015 | 12 | 2015 |
| Leveraging contextual embeddings for detecting diachronic semantic shift SP Matej Martinc, Petra Kralj Novak 12th Language Resources and Evaluation Conference (LREC), 4811–4819, 2020 | 11* | 2020 |
| CoSimLex: A resource for evaluating graded word similarity in context CS Armendariz, M Purver, M Ulčar, S Pollak, N Ljubešić, ... arXiv preprint arXiv:1912.05320, 2019 | 11 | 2019 |
| Gender profiling for slovene Twitter communication: The influence of gender marking, content and style B Verhoeven, I Škrjanec, S Pollak Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing …, 2017 | 10 | 2017 |
| Optimality principles in computational approaches to conceptual blending: Do we need them (at) all P Martins, S Pollak, T Urbancic, A Cardoso Proceedings of the Seventh International Conference on Computational Creativity, 2016 | 10 | 2016 |
| SemEval-2020 Task 3: Graded Word Similarity in Context CS Armendariz, M Purver, S Pollak, N Ljubešić, M Ulčar, I Vulić, ... Proceedings of the Fourteenth Workshop on Semantic Evaluation, 36-49, 2020 | 9 | 2020 |
| Towards robust text classification with semantics-aware recurrent neural architecture B Škrlj, J Kralj, N Lavrač, S Pollak Machine Learning and Knowledge Extraction 1 (2), 575-589, 2019 | 9 | 2019 |
| Bilingual lexicon extraction from comparable corpora: A comparative study N Ljubešić, D Fišer, Š Vintar, S Pollak First International Workshop on Lexical Resources, 48, 2011 | 9 | 2011 |
| Conceptual representations for computational concept creation P Xiao, H Toivonen, O Gross, A Cardoso, J Correia, P Machado, P Martins, ... ACM Computing Surveys (CSUR) 52 (1), 1-33, 2019 | 8 | 2019 |
| Karst exploration: extracting terms and definitions from karst domain corpus S Pollak, A Repar, M Martinc, V Podpecan Proceedings of eLex, 934-956, 2019 | 8 | 2019 |
| Supervised and unsupervised neural approaches to text readability M Martinc, S Pollak, M Robnik-Šikonja arXiv preprint arXiv:1907.11779, 2019 | 7 | 2019 |
| Multilingual gender classification with multi-view deep learning M Martinc, B Skrlj, S Pollak Proceedings of the Ninth International Conference of the CLEF Association …, 2018 | 7 | 2018 |
| Reusable workflows for gender prediction M Martinc, S Pollak Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 7 | 2018 |
Matej MartincResearcher, Jozef Stefan InstituteVerified email at ijs.si
