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Matej Martinc

Supervised and Unsupervised Neural Approaches to Text Readability
2021 · Matej Martinc, Senja Pollak, et al. · Computational Linguistics · 121
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Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
2021 · Matej Martinc, Fasih Haider, et al. · Frontiers in Aging Neuroscience · 55
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Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer’s Dementia
2020 · Matej Martinc, Senja Pollak · Interspeech (USB) · 53
Scalable and Interpretable Semantic Change Detection
2021 · Syrielle Montariol, Matej Martinc, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 51
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tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification
2020 · Blaž Škrlj, Matej Martinc, et al. · Computer Speech & Language · 50
TNT-KID: Transformer-based neural tagger for keyword identification
2021 · Matej Martinc, Blaž Škrlj, et al. · Natural Language Engineering · 48
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Capturing Evolution in Word Usage: Just Add More Clusters?
2020 · Matej Martinc, Syrielle Montariol, et al. · The Web Conference (WWW) · 41
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
2019 · Martinc, Matej, Novak, Petra Kralj, et al. · arXiv (Cornell University) · 41
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autoBOT: evolving neuro-symbolic representations for explainable low resource text classification
2021 · Blaž Škrlj, Matej Martinc, et al. · Machine Learning · 28
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PAN 2017: Author Profiling - Gender and Language Variety Prediction.
2017 · Matej Martinc, Iza Škrjanec, et al. · CLEF (Working Notes) · 25
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches
2019 · Andraž Pelicon, Matej Martinc, et al. · International Workshop on Semantic Evaluation (SemEval) · 22
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Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection
2020 · Matej Martinc, Syrielle Montariol, et al. · 19
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Ensembling Transformers for Cross-domain Automatic Term Extraction
2022 · Hanh Thi Hong Tran, Matej Martinc, et al. · Lecture notes in computer science · 17
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Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
2020 · Martinc, Matej, Kralj Novak, Petra, et al. · Zenodo (CERN European Organization for Nuclear Research) · 15
The Recent Advances in Automatic Term Extraction: A survey
2023 · Tran, Hanh Thi Hong, Martinc, Matej, et al. · arXiv (Cornell University) · 12
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Large language models in food and nutrition science: Opportunities, challenges, and the case of FoodyLLM
2026 · Ana Gjorgjevikj, Matej Martinc, et al. · Current Research in Food Science · 11
Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?
2024 · Hanh Thi Hong Tran, Matej Martinc, et al. · Machine Learning · 11
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Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer?
2022 · Hanh Thi Hong Tran, Matej Martinc, et al. · Lecture notes in computer science · 10
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
2021 · Andraž Pelicon, Ravi Shekhar, et al. · Queen Mary Research Online (Queen Mary University of London) · 10
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Combining n-grams and deep convolutional features for language variety classification
2019 · Matej Martinc, Senja Pollak · Natural Language Engineering · 10
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Erasmus students’ involvement in quality enhancement of Erasmus+ mobility through digital ethnography and ErasmusShouts
2017 · Manja Klemenčič, Martin Žnidaršič, et al. · Studies in Higher Education · 10
FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
2025 · Ana Gjorgjevikj, Matej Martinc, et al. · Lecture notes in computer science · 9
Multi-task Learning for Features Extraction in Financial Annual Reports
2023 · Syrielle Montariol, Matej Martinc, et al. · Communications in computer and information science · 8
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Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach
2020 · Nada Lavrač, Matej Martinc, et al. · New Generation Computing · 7
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Karst Exploration: Extracting Terms and Definitions from Karst Domain Corpus
2019 · Pollak, Senja, Repar, Andraž, et al. · Zenodo (CERN European Organization for Nuclear Research) · 7
Works count: 108
Citation count: 770
H-index: 14
I10-index: 21
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