Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources. - Darja Fiser; Senja Pollak; Spela Vintar (LREC, 2010)

Building and Using Comparable Corpora for Domain-Specific Bilingual Lexicon Extraction. - Darja Fiser; Nikola Ljubesic; Spela Vintar; Senja Pollak (BUCC@ACL, 2011)

NLP workflow for on-line definition extraction from English and Slovene text corpora. - Senja Pollak; Anze Vavpetic; Janez Kranjc; Nada Lavrac; Spela Vintar (KONVENS, 2012)

Irregularity Detection in Categorized Document Corpora. - Borut Sluban; Senja Pollak; Roel Coesemans; Nada Lavrac (LREC, 2012)

NLP Web Services for Slovene and English: Morphosyntactic Tagging, Lemmatisation and Definition Extraction. - Senja Pollak; Nejc Trdin; Anze Vavpetic; Tomaz Erjavec (Informatica (Slovenia), 2012)

Automated Blend Naming Based on Human Creativity Examples. - Senja Pollak; Pedro Martins 003; Amílcar Cardoso; Tanja Urbancic (ICCBR (Workshops), 2015)

The Good, the Bad, and the AHA! Blends. - Pedro Martins 003; Tanja Urbancic; Senja Pollak; Nada Lavrac; Amílcar Cardoso (ICCC, 2015)

Predicting the Level of Text Standardness in User-generated Content. - Nikola Ljubesic; Darja Fiser; Tomaz Erjavec; Jaka Cibej; Dafne Marko; Senja Pollak; Iza Skrjanec (RANLP, 2015)

RoboCHAIR: Creative Assistant for Question Generation and Ranking. - Senja Pollak; Borut Lesjak; Janez Kranjc; Vid Podpecan; Martin nidaric; Nada Lavrac (SSCI, 2015)

Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All? - Pedro Martins 003; Senja Pollak; Tanja Urbancic; Amílcar Cardoso (ICCC, 2016)

Computational Creativity Conceptualisation Grounded on ICCC Papers. - Senja Pollak; Biljana Mileva-Boshkoska; Dragana Miljkovic; Geraint A. Wiggins; Nada Lavrac (ICCC, 2016)

Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style. - Ben Verhoeven; Iza Skrjanec; Senja Pollak (BSNLP@EACL, 2017)

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

Automatic Analysis of Annual Financial Reports: A Case Study. - Jasmina Smailovic; Martin Znidarsic; Aljosa Valentincic; Igor Loncarski; Marko Pahor; Pedro Martins 003; Senja Pollak (Computación y Sistemas, 2017)

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

Simplified Hybrid Approach for Detection of Semantic Orientations in Economic Texts. - Jan Stihec; Martin Znidarsic; Senja Pollak (ECIR, 2018)

Conceptualising Computational Creativity: Towards automated historiography of a research field. - Geraint A. Wiggins; Nada Lavrac; Vid Podpecan; Senja Pollak (ICCC, 2018)

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

SAAMEAT: Active Feature Transformation and Selection Methods for the Recognition of User Eating Conditions. - Fasih Haider; Senja Pollak; Eleni Zarogianni; Saturnino Luz (ICMI, 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)

Computational Creativity in Slovenia. - Senja Pollak; Geraint A. Wiggins; Martin Znidarsic; Nada Lavrac (Informatica (Slovenia), 2018)

Bisociative Knowledge Discovery for Cross-domain Literature Mining. - Nada Lavrac; Matjaz Jursic; Borut Sluban; Matic Perovsek; Senja Pollak; Tanja Urbancic; Bojan Cestnik (Computational Creativity, 2019)

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)

Extracting Audio-Visual Features for Emotion Recognition Through Active Feature Selection. - Fasih Haider; Senja Pollak; Pierre Albert; Saturnino Luz (GlobalSIP, 2019)

Language Comparison via Network Topology. - Blaz Skrlj; Senja Pollak (SLSP, 2019)

RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation. - Blaz Skrlj; Andraz Repar; Senja Pollak (SLSP, 2019)

CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. - Carlos Santos Armendariz; Matthew Purver; Matej Ulcar; Senja Pollak; Nikola Ljubesic; Marko Robnik-Sikonja; Mark Granroth-Wilding; Kristiina Vaik (CoRR, 2019)

Conceptual Representations for Computational Concept Creation. - Ping Xiao; Hannu Toivonen; Oskar Gross; Amílcar Cardoso; João Correia 001; Penousal Machado; Pedro Martins 003; Hugo Gonçalo Oliveira; Rahul Sharma 008; Alexandre Miguel Pinto; Alberto Díaz 001; Virginia Francisco; et al. (ACM Comput. Surv., 2019)

Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. - Blaz Skrlj; Jan Kralj; Nada Lavrac; Senja Pollak (Mach. Learn. Knowl. Extr., 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)

Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization. - Boshko Koloski; Senja Pollak; Blaz Skrlj (CLEF (Working Notes), 2020)

Know your Neighbors: Efficient Author Profiling via Follower Tweets. - Boshko Koloski; Senja Pollak; Blaz Skrlj (CLEF (Working Notes), 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)

A Study on Reproducibility in Computational Creativity Research. - Martin Marzidovsek; Senja Pollak (ICCC, 2020)

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

CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. - Carlos Santos Armendariz; Matthew Purver; Matej Ulcar; Senja Pollak; Nikola Ljubesic; Mark Granroth-Wilding (LREC, 2020)

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

SemEval-2020 Task 3: Graded Word Similarity in Context. - Carlos Santos Armendariz; Matthew Purver; Senja Pollak; Nikola Ljubesic; Matej Ulcar; Ivan Vulic; Mohammad Taher Pilehvar (SemEval@COLING, 2020)

AttViz: Online exploration of self-attention for transparent neural language modeling. - Blaz Skrlj; Nika Erzen; Shane Sheehan; Saturnino Luz; Marko Robnik-Sikonja; Senja Pollak (CoRR, 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)

SemEval-2020 Task 3: Graded Word Similarity in Context. - Carlos Santos Armendariz; Matthew Purver; Senja Pollak; Nikola Ljubesic; Matej Ulcar; Ivan Vulic; Mohammad Taher Pilehvar (Zenodo, 2020)

SemEval-2020 Task 3: Graded Word Similarity in Context. - Carlos Santos Armendariz; Matthew Purver; Senja Pollak; Nikola Ljubesic; Matej Ulcar; Ivan Vulic; Mohammad Taher Pilehvar (Zenodo, 2020)

Identification of COVID-19 Related Fake News via Neural Stacking. - Boshko Koloski; Timen Stepisnik Perdih; Senja Pollak; Blaz Skrlj (CONSTRAINT@AAAI, 2021)

Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. - Blaz Skrlj; Marko Jukic; Nika Erzen; Senja Pollak; Nada Lavrac (DS, 2021)

BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. - Enja Kokalj; Blaz Skrlj; Nada Lavrac; Senja Pollak; Marko Robnik-Sikonja (EACL (Hackashop), 2021)

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

Interesting cross-border news discovery using cross-lingual article linking and document similarity. - Boshko Koloski; Elaine Zosa; Timen Stepisnik Perdih; Blaz Skrlj; Tarmo Paju; Senja Pollak (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)

Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces. - Blaz Skrlj; Shane Sheehan; Nika Erzen; Marko Robnik-Sikonja; Saturnino Luz; Senja Pollak (EACL (Hackashop), 2021)

Named Entity Recognition Architecture Combining Contextual and Global Features. - Tran Thi Hong Hanh; Antoine Doucet; Nicolas Sidere; José G. Moreno 001; Senja Pollak (ICADL, 2021)

Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods. - Senja Pollak; Vid Podpecan; Janez Kranjc; Borut Lesjak; Nada Lavrac (ICCC, 2021)

JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification. - Timen Stepisnik Perdih; Senja Pollak; Blaz Skrlj (WWW (Companion Volume), 2021)

Supervised and Unsupervised Neural Approaches to Text Readability. - Matej Martinc; Senja Pollak; Marko Robnik-Sikonja (Comput. Linguistics, 2021)

Evaluation of contextual embeddings on less-resourced languages. - Matej Ulcar; Ales Zagar; Carlos Santos Armendariz; Andraz Repar; Senja Pollak; Matthew Purver; Marko Robnik-Sikonja (CoRR, 2021)

Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods. - Fasih Haider; Senja Pollak; Pierre Albert; Saturnino Luz (Comput. Speech Lang., 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)

Investigating cross-lingual training for offensive language detection. - Andraz Pelicon; Ravi Shekhar; Blaz Skrlj; Matthew Purver; Senja Pollak (PeerJ Comput. Sci., 2021)

Early detection of depression with linear models using hand-crafted and contextual features. - Ilija Tavchioski; Blaz Skrlj; Senja Pollak; Boshko Koloski (CLEF (Working Notes), 2022)

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

Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction. - Blaz Skrlj; Boshko Koloski; Senja Pollak (DS, 2022)

EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media. - Senja Pollak; Andraz Pelicon (EAMT, 2022)

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

Evaluation of Curriculum Learning Algorithms using Computational Creativity Inspired Metrics. - Benjamin Fele; Jan Babic; Senja Pollak; Martin Znidarsic (ICCC, 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)

Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme. - Ana Zwitter Vitez; Mojca Brglez; Marko Robnik-Sikonja; Tadej Skvorc; Andreja Vezovnik; Senja Pollak (LREC, 2022)

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression. - Ilija Tavchioski; Boshko Koloski; Blaz Skrlj; Senja Pollak (LT-EDI, 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)

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. - Qingyu Chen 001; Alexis Allot; Robert Leaman; Rezarta Islamaj; Jingcheng Du; Li Fang; Wang Kai; Shuo Xu 001; Yuefu Zhang; Parsa Bagherzadeh; Sabine Bergler; Aakash Bhatnagar; et al. (Database J. Biol. Databases Curation, 2022)

Knowledge graph informed fake news classification via heterogeneous representation ensembles. - Boshko Koloski; Timen Stepisnik Perdih; Marko Robnik-Sikonja; Senja Pollak; Blaz Skrlj (Neurocomputing, 2022)

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

Inducing Document Representations from Graphs: A Blueprint. - Boshko Koloski; Marko Pranjic; Nada Lavrac; Blaz Skrlj; Senja Pollak (Tiny Papers @ ICLR, 2023)

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

XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament. - Bojan Evkoski; Senja Pollak (CoRR, 2023)

Detection of depression on social networks using transformers and ensembles. - Ilija Tavchioski; Marko Robnik-Sikonja; Senja Pollak (CoRR, 2023)

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies. - Boshko Koloski; Blaz Skrlj; Marko Robnik-Sikonja; Senja Pollak (CoRR, 2023)

Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. - Boshko Koloski; Blaz Skrlj; Senja Pollak; Nada Lavrac (CoRR, 2023)

Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques. - Jakub Piskorski; Nicolas Stefanovitch; Firoj Alam; Ricardo Campos 001; Dimitar Dimitrov 003; Alípio Jorge; Senja Pollak; Nikolay Ribin; Zoran Fijavz; Maram Hasanain; Purificação Silvano; Elisa Sartori; et al. (CLEF (Working Notes), 2024)

A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media. - Jaya Caporusso; Damar Hoogland; Mojca Brglez; Boshko Koloski; Matthew Purver; Senja Pollak (LREC/COLING, 2024)

Denoising Labeled Data for Comment Moderation Using Active Learning. - Andraz Pelicon; Mladen Karan; Ravi Shekhar; Matthew Purver; Senja Pollak (LREC/COLING, 2024)

LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. - Marko Pranjic; Marko Robnik-Sikonja; Senja Pollak (LREC/COLING, 2024)

AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification. - Boshko Koloski; Senja Pollak; Roberto Navigli; Blaz Skrlj (DS (1), 2024)

AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. - Boshko Koloski; Nada Lavrac; Bojan Cestnik; Senja Pollak; Blaz Skrlj; Andrej Kastrin (IDA (1), 2024)

whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts. - Nishan Chatterjee; Marko Pranjic; Boshko Koloski; Lidia Pivovarova; Senja Pollak (SemEval@NAACL, 2024)

L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text? - Hanh Thi Hong Tran; Tien Nam Nguyen; Antoine Doucet; Senja Pollak (SemEval@NAACL, 2024)

CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. - Julien Delaunay; Tran Thi Hong Hanh; Carlos-Emiliano González-Gallardo; Georgeta Bordea; Mathilde Ducos; Nicolas Sidere; Antoine Doucet; Senja Pollak; Olivier de Viron (TSD (1), 2024)

Is Prompting What Term Extraction Needs? - Tran Thi Hong Hanh; Carlos-Emiliano González-Gallardo; Julien Delaunay; Antoine Doucet; Senja Pollak (TSD (1), 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)

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)

AutoML-guided Fusion of Entity and LLM-based representations. - Boshko Koloski; Senja Pollak; Roberto Navigli; Blaz Skrlj (CoRR, 2024)

Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis. - Luka Andrensek; Boshko Koloski; Andraz Pelicon; Nada Lavrac; Senja Pollak; Matthew Purver (CoRR, 2024)

Transformer verbatim in-context retrieval across time and scale. - Kristijan Armeni; Marko Pranjic; Senja Pollak (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)

Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies. - Boshko Koloski; Blaz Skrlj; Marko Robnik-Sikonja; Senja Pollak (IEEE Access, 2025)

Extracting domain-specific terms using contextual word embeddings. - Andraz Repar; Nada Lavrac; Senja Pollak (CoRR, 2025)

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies. - Blaz Skrlj; Boshko Koloski; Senja Pollak; Nada Lavrac (CoRR, 2025)

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation. - Boshko Koloski; Senja Pollak; Roberto Navigli; Blaz Skrlj (CoRR, 2025)

A Computational Framework to Identify Self-Aspects in Text. - Jaya Caporusso; Matthew Purver; Senja Pollak (CoRR, 2025)

Mono- and cross-lingual evaluation of representation language models on less-resourced languages. - Matej Ulcar; Ales Zagar; Carlos Santos Armendariz; Andraz Repar; Senja Pollak; Matthew Purver; Marko Robnik-Sikonja (Comput. Speech Lang., 2026)