Matej Martinc
Matej Martinc
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Zitiert von
Zitiert von
PAN 2017: Author Profiling-Gender and Language Variety Prediction.
M Martinc, I Skrjanec, K Zupan, S Pollak
CLEF (Working Notes), 2017
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
Leveraging contextual embeddings for detecting diachronic semantic shift
M Martinc, PK Novak, S Pollak
arXiv preprint arXiv:1912.01072, 2019
Supervised and unsupervised neural approaches to text readability
M Martinc, S Pollak, M Robnik-Šikonja
Computational Linguistics 47 (1), 141-179, 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
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
Karst exploration: extracting terms and definitions from karst domain corpus
S Pollak, A Repar, M Martinc, V Podpecan
Proceedings of eLex, 934-956, 2019
Erasmus Students' Involvement in Quality Enhancement of Erasmus+ Mobility through Digital Ethnography and ErasmusShouts.
M Klemencic, M Žnidaršic, A Vavpetic, M Martinc
Studies in Higher Education 42 (5), 925-932, 2017
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
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, 2020
Reusable workflows for gender prediction
M Martinc, S Pollak
Proceedings of the Eleventh International Conference on Language Resources …, 2018
Combining n-grams and deep convolutional features for language variety classification
M Martinc, S Pollak
Natural Language Engineering 25 (5), 607-632, 2019
Er... well, it matters, right? on the role of data representations in spoken language dependency parsing
K Dobrovoljc, M Martinc
Proceedings of the Second Workshop on Universal Dependencies (UDW 2018), 37-46, 2018
Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.
M Martinc, S Pollak
INTERSPEECH, 2157-2161, 2020
Učinkovito procesiranje naravnega jezika s Pythonom
M Martinc
Univerza v Ljubljani, 2015
Covid-19 therapy target discovery with context-aware literature mining
M Martinc, B Škrlj, S Pirkmajer, N Lavrač, B Cestnik, M Marzidovšek, ...
International Conference on Discovery Science, 109-123, 2020
Tnt-kid: Transformer-based neural tagger for keyword identification
M Martinc, B Škrlj, S Pollak
Natural Language Engineering, 1-40, 2020
Fake or Not: Distinguishing between Bots, Males and Females.
M Martinc, B Skrlj, S Pollak
CLEF (Working Notes), 2019
Who is Hot and Who is Not? Profiling Celebs on Twitter.
M Martinc, B Skrlj, S Pollak
CLEF (Working Notes), 2019
Machine learning approach to bilingual terminology alignment: Reimplementation and adaptation
A Repar, M Martinc, S Pollak
4REAL 2018 Workshop on Replicability and Reproducibility of Research Results …, 2018
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