| Supervised and unsupervised neural approaches to text readability M Martinc, S Pollak, M Robnik-Šikonja Computational Linguistics 47 (1), 141-179, 2021 | 182 | 2021 |
| Leveraging contextual embeddings for detecting diachronic semantic shift M Martinc, P Kralj Novak, S Pollak 12th Language Resources and Evaluation Conference (LREC), 4811–4819, 2020 | 94 | 2020 |
| PAN 2017: Author Profiling-Gender and Language Variety Prediction. M Martinc, I Skrjanec, K Zupan, S Pollak CLEF (working notes), 2017 | 94* | 2017 |
| BERT meets shapley: Extending SHAP explanations to transformer-based classifiers E Kokalj, B Škrlj, N Lavrač, S Pollak, M Robnik-Šikonja Proceedings of the EACL hackashop on news media content analysis and …, 2021 | 85 | 2021 |
| Knowledge graph informed fake news classification via heterogeneous representation ensembles B Koloski, TS Perdih, M Robnik-Šikonja, S Pollak, B Škrlj Neurocomputing 496, 208-226, 2022 | 81 | 2022 |
| Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods F Haider, S Pollak, P Albert, S Luz Computer Speech & Language 65, 101119, 2021 | 64 | 2021 |
| 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, 2021 | 61 | 2021 |
| Zero-shot learning for cross-lingual news sentiment classification A Pelicon, M Pranjić, D Miljković, B Škrlj, S Pollak Applied Sciences 10 (17), 5993, 2020 | 59 | 2020 |
| TNT-KID: Transformer-based neural tagger for keyword identification M Martinc, B Škrlj, S Pollak Natural Language Engineering 28 (4), 409-448, 2022 | 56 | 2022 |
| Detecting contrast patterns in newspaper articles by combining discourse analysis and text mining S Pollak, R Coesemans, W Daelemans, N Lavrač Pragmatics. Quarterly Publication of the International Pragmatics …, 2011 | 56 | 2011 |
| Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia. M Martinc, S Pollak Interspeech, 2157-2161, 2020 | 51 | 2020 |
| Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech M Martinc, F Haider, S Pollak, S Luz Frontiers in Aging Neuroscience 13, 642647, 2021 | 43 | 2021 |
| A Resource for Evaluating Graded Word Similarity in Context: CoSimLex C Armendariz, P Matthew, M Ulčar, S Pollak, N Ljubešić, ... | 41* | 2020 |
| 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 | 41* | 2015 |
| RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation B Škrlj, A Repar, S Pollak Statistical Language and Speech Processing: 7th International Conference …, 2019 | 40 | 2019 |
| Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations Q Chen, A Allot, R Leaman, R Islamaj, J Du, L Fang, K Wang, S Xu, ... Database 2022, baac069, 2022 | 33 | 2022 |
| 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 | 32 | 2020 |
| Investigating cross-lingual training for offensive language detection A Pelicon, R Shekhar, B Škrlj, M Purver, S Pollak PeerJ Computer Science 7, e559, 2021 | 30 | 2021 |
| 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), 34, 2019 | 28 | 2019 |
| Identification of COVID-19 related fake news via neural stacking B Koloski, T Stepišnik-Perdih, S Pollak, B Škrlj International Workshop on Combating Online Hostile Posts in Regional …, 2021 | 27 | 2021 |
Matej MartincResearcher, Jozef Stefan Instituteijs.si의 이메일 확인됨