PAN 2017: Author Profiling - Gender and Language Variety Prediction. - Matej Martinc; Iza Skrjanec; Katja Zupan; Senja Pollak (CLEF (Working Notes), 2017)

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing. - Kaja Dobrovoljc; Matej Martinc (UDW@EMNLP, 2018)

Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018. - Matej Martinc; Blaz Skrlj; Senja Pollak (CLEF (Working Notes), 2018)

BISLON: BISociative SLOgaN generation based on stylistic literary devices. - Martin Znidarsic; Matej Martinc; Andraz Repar; Senja Pollak (ICCC, 2018)

Reusable workflows for gender prediction. - Matej Martinc; Senja Pollak (LREC, 2018)

Towards Creative Software Blending: Computational Infrastructure and Use Cases. - Matej Martinc; Martin Znidarsic; Nada Lavrac; Senja Pollak (Informatica (Slovenia), 2018)

Who is Hot and Who is Not? Profiling Celebs on Twitter. - Matej Martinc; Blaz Skrlj; Senja Pollak (CLEF (Working Notes), 2019)

Fake or Not: Distinguishing between Bots, Males and Females. - Matej Martinc; Blaz Skrlj; Senja Pollak (CLEF (Working Notes), 2019)

Pooled LSTM for Dutch Cross-genre Gender Classification. - Matej Martinc; Senja Pollak (GxG@CLIN, 2019)

Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches. - Andraz Pelicon; Matej Martinc; Petra Kralj Novak (SemEval@NAACL-HLT, 2019)

Combining n-grams and deep convolutional features for language variety classification. - Matej Martinc; Senja Pollak (Nat. Lang. Eng., 2019)

Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings. - Spela Vintar; Larisa Grcic Simeunovic; Matej Martinc; Senja Pollak; Uros Stepisnik (BUCC@LREC, 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)

COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. - Matej Martinc; Blaz Skrlj; Sergej Pirkmajer; Nada Lavrac; Bojan Cestnik; Martin Marzidovsek; Senja Pollak (DS, 2020)

Bisociative Literature-Based Discovery: Lessons Learned and New Prospects. - Nada Lavrac; Matej Martinc; Senja Pollak; Bojan Cestnik (ICCC, 2020)

Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia. - Matej Martinc; Senja Pollak (INTERSPEECH, 2020)

Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. - Matej Martinc; Petra Kralj Novak; Senja Pollak (LREC, 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 (SemEval@COLING, 2020)

Capturing Evolution in Word Usage: Just Add More Clusters? - Matej Martinc; Syrielle Montariol; Elaine Zosa; Lidia Pivovarova (WWW (Companion Volume), 2020)

Reproduction, replication, analysis and adaptation of a term alignment approach. - Andraz Repar; Matej Martinc; Senja Pollak (Lang. Resour. Evaluation, 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)

Extending Neural Keyword Extraction with TF-IDF tagset matching. - Boshko Koloski; Senja Pollak; Blaz Skrlj; Matej Martinc (EACL (Hackashop), 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 (EACL (Hackashop), 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 (EACL (Hackashop), 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; et al. (EACL (Hackashop), 2021)

Scalable and Interpretable Semantic Change Detection. - Syrielle Montariol; Matej Martinc; Lidia Pivovarova (NAACL-HLT, 2021)

Supervised and Unsupervised Neural Approaches to Text Readability. - Matej Martinc; Senja Pollak; Marko Robnik-Sikonja (Comput. Linguistics, 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)

autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. - Blaz Skrlj; Matej Martinc; Nada Lavrac; Senja Pollak (Mach. Learn., 2021)

Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer? - Tran Thi Hong Hanh; Matej Martinc; Antoine Doucet; Senja Pollak (DS, 2022)

Ensembling Transformers for Cross-domain Automatic Term Extraction. - Tran Thi Hong Hanh; Matej Martinc; Andraz Pelicon; Antoine Doucet; Senja Pollak (ICADL, 2022)

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? - Boshko Koloski; Senja Pollak; Blaz Skrlj; Matej Martinc (LREC, 2022)

Embeddings models for Buddhist Sanskrit. - Ligeia Lugli; Matej Martinc; Andraz Pelicon; Senja Pollak (LREC, 2022)

Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings. - Matej Martinc; Syrielle Montariol; Lidia Pivovarova; Elaine Zosa (LREC, 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 (PKDD/ECML Workshops (2), 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 (SemEval@NAACL, 2022)

A bilingual approach to specialised adjectives through word embeddings in the karstology domain. - Larisa Grcic Simeunovic; Matej Martinc; Spela Vintar (CoRR, 2022)

TNT-KID: Transformer-based neural tagger for keyword identification. - Matej Martinc; Blaz Skrlj; Senja Pollak (Nat. Lang. Eng., 2022)

The Recent Advances in Automatic Term Extraction: A survey. - Tran Thi Hong Hanh; Matej Martinc; Jaya Caporusso; Antoine Doucet; Senja Pollak (CoRR, 2023)

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)

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)

SEKE: Specialised Experts for Keyword Extraction. - Matej Martinc; Hanh Thi Hong Tran; Senja Pollak; Boshko Koloski (CoRR, 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., 2024)