| 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, PK Novak, S Pollak arXiv preprint arXiv:1912.01072, 2019 | 94 | 2019 |
| PAN 2017: Author Profiling-Gender and Language Variety Prediction. M Martinc, I Skrjanec, K Zupan, S Pollak CLEF (working notes), 2017 | 94* | 2017 |
| Scalable and interpretable semantic change detection S Montariol, M Martinc, L Pivovarova Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 73 | 2021 |
| Capturing evolution in word usage: Just add more clusters? M Martinc, S Montariol, E Zosa, L Pivovarova Companion Proceedings of the Web Conference 2020, 343-349, 2020 | 62 | 2020 |
| 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 |
| 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 |
| Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia. M Martinc, S Pollak Interspeech, 2157-2161, 2020 | 50 | 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 |
| Discovery team at SemEval-2020 task 1: Context-sensitive embeddings not always better than static for semantic change detection M Martinc, S Montariol, E Zosa, L Pivovarova Proceedings of the Fourteenth Workshop on Semantic Evaluation, 67-73, 2020 | 25 | 2020 |
| Embeddia at semeval-2019 task 6: Detecting hate with neural network and transfer learning approaches A Pelicon, M Martinc, PK Novak Proceedings of the 13th international workshop on semantic evaluation, 604-610, 2019 | 25 | 2019 |
| Extending neural keyword extraction with TF-IDF tagset matching B Koloski, S Pollak, B Škrlj, M Martinc arXiv preprint arXiv:2102.00472, 2021 | 24 | 2021 |
| Erasmus students’ involvement in quality enhancement of Erasmus+ mobility through digital ethnography and ErasmusShouts M Klemenčič, M Žnidaršič, A Vavpetič, M Martinc Studies in higher education 42 (5), 925-932, 2017 | 23 | 2017 |
| Karst exploration: extracting terms and definitions from karst domain corpus S Pollak, A Repar, M Martinc, V Podpečan Proceedings of eLex 2019, 934-956, 2019 | 21 | 2019 |
| Zero-shot cross-lingual content filtering: Offensive language and hate speech detection A Pelicon, R Shekhar, M Martinc, B Škrlj, M Purver, S Pollak | 20 | 2021 |
| Out of thin air: Is zero-shot cross-lingual keyword detection better than unsupervised? B Koloski, S Pollak, B Škrlj, M Martinc arXiv preprint arXiv:2202.06650, 2022 | 19 | 2022 |
| autoBOT: evolving neuro-symbolic representations for explainable low resource text classification B Škrlj, M Martinc, N Lavrač, S Pollak Machine Learning 110 (5), 989-1028, 2021 | 19 | 2021 |
| Combining n-grams and deep convolutional features for language variety classification M Martinc, S Pollak Natural Language Engineering 25 (5), 607-632, 2019 | 14 | 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 | 14 | 2018 |
| Reusable workflows for gender prediction M Martinc, S Pollak Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 13 | 2018 |
