Matej Martinc

According to our database, Matej Martinc authored at least 42 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?

Tran Thi Hong Hanh, Matej Martinc, Andraz Repar, Nikola Ljubesic, Antoine Doucet, Senja Pollak

Mach. Learn., July, 2024

Multi-Task Learning for Features Extraction in Financial Annual Reports.

Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic

CoRR, 2024

Semantic change detection for Slovene language: a novel dataset and an approach based on optimal transport.

Marko Pranjic, Kaja Dobrovoljc, Senja Pollak, Matej Martinc

CoRR, 2024

2023

The Recent Advances in Automatic Term Extraction: A survey.

Tran Thi Hong Hanh, Matej Martinc, Jaya Caporusso, Antoine Doucet, Senja Pollak

CoRR, 2023

2022

TNT-KID: Transformer-based neural tagger for keyword identification.

Matej Martinc, Blaz Skrlj, Senja Pollak

Nat. Lang. Eng., 2022

A bilingual approach to specialised adjectives through word embeddings in the karstology domain.

Larisa Grcic Simeunovic, Matej Martinc, Spela Vintar

CoRR, 2022

JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches.

Tran Thi Hong Hanh, Matej Martinc, Matthew Purver, Senja Pollak

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Multi-task Learning for Features Extraction in Financial Annual Reports.

Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings.

Matej Martinc, Syrielle Montariol, Lidia Pivovarova, Elaine Zosa

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Embeddings models for Buddhist Sanskrit.

Ligeia Lugli, Matej Martinc, Andraz Pelicon, Senja Pollak

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?

Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Ensembling Transformers for Cross-domain Automatic Term Extraction.

Tran Thi Hong Hanh, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak

Proceedings of the From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries, 2022

Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer?

Tran Thi Hong Hanh, Matej Martinc, Antoine Doucet, Senja Pollak

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

autoBOT: evolving neuro-symbolic representations for explainable low resource text classification.

Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak

Mach. Learn., 2021

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification.

Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak

Comput. Speech Lang., 2021

Supervised and Unsupervised Neural Approaches to Text Readability.

Matej Martinc, Senja Pollak, Marko Robnik-Sikonja

Comput. Linguistics, 2021

Scalable and Interpretable Semantic Change Detection.

Syrielle Montariol, Matej Martinc, Lidia Pivovarova

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions.

Senja Pollak, Marko Robnik-Sikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjic, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulcar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrac, Blaz Skrlj, Martin Znidarsic, Andraz Pelicon, Boshko Koloski, Vid Podpecan, Janez Kranjc, Shane Sheehan, Emanuela Boros, José G. Moreno, Antoine Doucet, Hannu Toivonen

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection.

Andraz Pelicon, Ravi Shekhar, Matej Martinc, Blaz Skrlj, Matthew Purver, Senja Pollak

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+.

Matej Martinc, Nina Perger, Andraz Pelicon, Matej Ulcar, Andreja Vezovnik, Senja Pollak

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Extending Neural Keyword Extraction with TF-IDF tagset matching.

Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

2020

Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach.

Nada Lavrac, Matej Martinc, Senja Pollak, Marusa Pompe-Novak, Bojan Cestnik

New Gener. Comput., 2020

Reproduction, replication, analysis and adaptation of a term alignment approach.

Andraz Repar, Matej Martinc, Senja Pollak

Lang. Resour. Evaluation, 2020

Capturing Evolution in Word Usage: Just Add More Clusters?

Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection.

Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift.

Matej Martinc, Petra Kralj Novak, Senja Pollak

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.

Matej Martinc, Senja Pollak

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Bisociative Literature-Based Discovery: Lessons Learned and New Prospects.

Nada Lavrac, Matej Martinc, Senja Pollak, Bojan Cestnik

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

COVID-19 Therapy Target Discovery with Context-Aware Literature Mining.

Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak

Proceedings of the Discovery Science - 23rd International Conference, 2020

Natural Language Processing for Literary Text Analysis: Word-Embeddings-Based Analysis of Zofka Kveder's Work.

Senja Pollak, Matej Martinc, Katja Mihurko Poniz

DHandNLP@PROPOR, 2020

Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings.

Spela Vintar, Larisa Grcic Simeunovic, Matej Martinc, Senja Pollak, Uros Stepisnik

Proceedings of the 13th Workshop on Building and Using Comparable Corpora, 2020

2019

Combining n-grams and deep convolutional features for language variety classification.

Matej Martinc, Senja Pollak

Nat. Lang. Eng., 2019

Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches.

Andraz Pelicon, Matej Martinc, Petra Kralj Novak

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Pooled LSTM for Dutch Cross-genre Gender Classification.

Matej Martinc, Senja Pollak

Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), 2019

Fake or Not: Distinguishing between Bots, Males and Females.

Matej Martinc, Blaz Skrlj, Senja Pollak

Proceedings of the Working Notes of CLEF 2019, 2019

Who is Hot and Who is Not? Profiling Celebs on Twitter.

Matej Martinc, Blaz Skrlj, Senja Pollak

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Towards Creative Software Blending: Computational Infrastructure and Use Cases.

Matej Martinc, Martin Znidarsic, Nada Lavrac, Senja Pollak

Informatica (Slovenia), 2018

Reusable workflows for gender prediction.

Matej Martinc, Senja Pollak

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

BISLON: BISociative SLOgaN generation based on stylistic literary devices.

Martin Znidarsic, Matej Martinc, Andraz Repar, Senja Pollak

Proceedings of the Ninth International Conference on Computational Creativity, 2018

Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018.

Matej Martinc, Blaz Skrlj, Senja Pollak

Proceedings of the Working Notes of CLEF 2018, 2018

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing.

Kaja Dobrovoljc, Matej Martinc

Proceedings of the Second Workshop on Universal Dependencies, 2018

2017

PAN 2017: Author Profiling - Gender and Language Variety Prediction.

Matej Martinc, Iza Skrjanec, Katja Zupan, Senja Pollak

Proceedings of the Working Notes of CLEF 2017, 2017