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Journal Articles
- 2024
- [j18]Tran Thi Hong Hanh, Matej Martinc, Andraz Repar, Nikola Ljubesic, Antoine Doucet, Senja Pollak:
Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling? Mach. Learn. 113(7): 4285-4314 (2024) - 2022
- [j17]Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Wang Kai, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno-Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus A. A. Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Saipradeep Vg, Zhiyong Lu:
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations. Database J. Biol. Databases Curation 2022(2022) (2022) - [j16]Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj:
Knowledge graph informed fake news classification via heterogeneous representation ensembles. Neurocomputing 496: 208-226 (2022) - [j15]Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based neural tagger for keyword identification. Nat. Lang. Eng. 28(4): 409-448 (2022) - 2021
- [j14]Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and Unsupervised Neural Approaches to Text Readability. Comput. Linguistics 47(1): 141-179 (2021) - [j13]Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. Comput. Speech Lang. 65: 101104 (2021) - [j12]Fasih Haider, Senja Pollak, Pierre Albert, Saturnino Luz:
Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods. Comput. Speech Lang. 65: 101119 (2021) - [j11]Blaz Skrlj, Matej Martinc, Nada Lavrac, Senja Pollak:
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. Mach. Learn. 110(5): 989-1028 (2021) - [j10]Andraz Pelicon, Ravi Shekhar, Blaz Skrlj, Matthew Purver, Senja Pollak:
Investigating cross-lingual training for offensive language detection. PeerJ Comput. Sci. 7: e559 (2021) - 2020
- [j9]Andraz Repar, Matej Martinc, Senja Pollak:
Reproduction, replication, analysis and adaptation of a term alignment approach. Lang. Resour. Evaluation 54(3): 767-800 (2020) - [j8]Nada Lavrac, Matej Martinc, Senja Pollak, Marusa Pompe-Novak, Bojan Cestnik:
Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach. New Gener. Comput. 38(4): 773-800 (2020) - 2019
- [j7]Ping Xiao, Hannu Toivonen, Oskar Gross, Amílcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Gonçalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Díaz, Virginia Francisco, Pablo Gervás, Raquel Hervás, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid Podpecan, Senja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrac, Tanja Urbancic, Frank van der Velde, Stuart Adam Battersby:
Conceptual Representations for Computational Concept Creation. ACM Comput. Surv. 52(1): 9:1-9:33 (2019) - [j6]Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak:
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. Mach. Learn. Knowl. Extr. 1(2): 575-589 (2019) - [j5]Matej Martinc, Senja Pollak:
Combining n-grams and deep convolutional features for language variety classification. Nat. Lang. Eng. 25(5): 607-632 (2019) - 2018
- [j4]Matej Martinc, Martin Znidarsic, Nada Lavrac, Senja Pollak:
Towards Creative Software Blending: Computational Infrastructure and Use Cases. Informatica (Slovenia) 42(1) (2018) - [j3]Senja Pollak, Geraint A. Wiggins, Martin Znidarsic, Nada Lavrac:
Computational Creativity in Slovenia. Informatica (Slovenia) 42(1) (2018) - 2017
- [j2]Jasmina Smailovic, Martin Znidarsic, Aljosa Valentincic, Igor Loncarski, Marko Pahor, Pedro Martins, Senja Pollak:
Automatic Analysis of Annual Financial Reports: A Case Study. Computación y Sistemas 21(4) (2017) - 2012
- [j1]Senja Pollak, Nejc Trdin, Anze Vavpetic, Tomaz Erjavec:
NLP Web Services for Slovene and English: Morphosyntactic Tagging, Lemmatisation and Definition Extraction. Informatica (Slovenia) 36(4): 441-449 (2012)
Conference and Workshop Papers
- 2024
- [c69]Jakub Piskorski, Nicolas Stefanovitch, Firoj Alam, Ricardo Campos, Dimitar Dimitrov, Alípio Jorge, Senja Pollak, Nikolay Ribin, Zoran Fijavz, Maram Hasanain, Purificação Silvano, Elisa Sartori, Nuno Guimarães, Ana Zwitter Vitez, Ana Filipa Pacheco, Ivan Koychev, Nana Yu, Preslav Nakov, Giovanni Da San Martino:
Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques. CLEF (Working Notes) 2024: 299-310 - [c68]Jaya Caporusso, Damar Hoogland, Mojca Brglez, Boshko Koloski, Matthew Purver, Senja Pollak:
A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media. LREC/COLING 2024: 199-210 - [c67]Andraz Pelicon, Mladen Karan, Ravi Shekhar, Matthew Purver, Senja Pollak:
Denoising Labeled Data for Comment Moderation Using Active Learning. LREC/COLING 2024: 4626-4633 - [c66]Marko Pranjic, Marko Robnik-Sikonja, Senja Pollak:
LLMSegm: Surface-level Morphological Segmentation Using Large Language Model. LREC/COLING 2024: 10665-10674 - [c65]Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin:
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. IDA (1) 2024: 254-265 - [c64]Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet, Senja Pollak:
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text? SemEval@NAACL 2024: 13-21 - [c63]Nishan Chatterjee, Marko Pranjic, Boshko Koloski, Lidia Pivovarova, Senja Pollak:
whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts. SemEval@NAACL 2024: 1537-1543 - [c62]Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Julien Delaunay, Antoine Doucet, Senja Pollak:
Is Prompting What Term Extraction Needs? TSD (1) 2024: 17-29 - [c61]Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron:
CoastTerm: A Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. TSD (1) 2024: 97-109 - 2023
- [c60]Boshko Koloski, Marko Pranjic, Nada Lavrac, Blaz Skrlj, Senja Pollak:
Inducing Document Representations from Graphs: A Blueprint. Tiny Papers @ ICLR 2023 - 2022
- [c59]Ilija Tavchioski, Blaz Skrlj, Senja Pollak, Boshko Koloski:
Early detection of depression with linear models using hand-crafted and contextual features. CLEF (Working Notes) 2022: 1005-1013 - [c58]Tran Thi Hong Hanh, Matej Martinc, Antoine Doucet, Senja Pollak:
Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer? DS 2022: 363-378 - [c57]Blaz Skrlj, Boshko Koloski, Senja Pollak:
Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction. DS 2022: 379-393 - [c56]Senja Pollak, Andraz Pelicon:
EMBEDDIA project: Cross-Lingual Embeddings for Less- Represented Languages in European News Media. EAMT 2022: 291-292 - [c55]Tran Thi Hong Hanh, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak:
Ensembling Transformers for Cross-domain Automatic Term Extraction. ICADL 2022: 90-100 - [c54]Benjamin Fele, Jan Babic, Senja Pollak, Martin Znidarsic:
Evaluation of Curriculum Learning Algorithms using Computational Creativity Inspired Metrics. ICCC 2022: 364-373 - [c53]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? LREC 2022: 400-409 - [c52]Ana Zwitter Vitez, Mojca Brglez, Marko Robnik-Sikonja, Tadej Skvorc, Andreja Vezovnik, Senja Pollak:
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme. LREC 2022: 2430-2439 - [c51]Ligeia Lugli, Matej Martinc, Andraz Pelicon, Senja Pollak:
Embeddings models for Buddhist Sanskrit. LREC 2022: 3861-3871 - [c50]Ilija Tavchioski, Boshko Koloski, Blaz Skrlj, Senja Pollak:
E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression. LT-EDI 2022: 251-257 - [c49]Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic:
Multi-task Learning for Features Extraction in Financial Annual Reports. PKDD/ECML Workshops (2) 2022: 7-24 - [c48]Tran Thi Hong Hanh, Matej Martinc, Matthew Purver, Senja Pollak:
JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches. SemEval@NAACL 2022: 101-106 - 2021
- [c47]Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
Identification of COVID-19 Related Fake News via Neural Stacking. CONSTRAINT@AAAI 2021: 177-188 - [c46]Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac:
Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. DS 2021: 204-217 - [c45]Enja Kokalj, Blaz Skrlj, Nada Lavrac, Senja Pollak, Marko Robnik-Sikonja:
BERT meets Shapley: Extending SHAP Explanations to Transformer-based Classifiers. EACL (Hackashop) 2021: 16-21 - [c44]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. EACL (Hackashop) 2021: 22-29 - [c43]Andraz Pelicon, Ravi Shekhar, Matej Martinc, Blaz Skrlj, Matthew Purver, Senja Pollak:
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. EACL (Hackashop) 2021: 30-34 - [c42]Blaz Skrlj, Shane Sheehan, Nika Erzen, Marko Robnik-Sikonja, Saturnino Luz, Senja Pollak:
Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces. EACL (Hackashop) 2021: 76-83 - [c41]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:
EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. EACL (Hackashop) 2021: 99-109 - [c40]Boshko Koloski, Elaine Zosa, Timen Stepisnik Perdih, Blaz Skrlj, Tarmo Paju, Senja Pollak:
Interesting cross-border news discovery using cross-lingual article linking and document similarity. EACL (Hackashop) 2021: 116-120 - [c39]Matej Martinc, Nina Perger, Andraz Pelicon, Matej Ulcar, Andreja Vezovnik, Senja Pollak:
EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+. EACL (Hackashop) 2021: 121-126 - [c38]Tran Thi Hong Hanh, Antoine Doucet, Nicolas Sidere, José G. Moreno, Senja Pollak:
Named Entity Recognition Architecture Combining Contextual and Global Features. ICADL 2021: 264-276 - [c37]Senja Pollak, Vid Podpecan, Janez Kranjc, Borut Lesjak, Nada Lavrac:
Scientific Question Generation: Pattern-Based and Graph-Based RoboCHAIR Methods. ICCC 2021: 140-148 - [c36]Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification. WWW (Companion Volume) 2021: 298-301 - 2020
- [c35]Spela Vintar, Larisa Grcic Simeunovic, Matej Martinc, Senja Pollak, Uros Stepisnik:
Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings. BUCC@LREC 2020: 29-34 - [c34]Boshko Koloski, Senja Pollak, Blaz Skrlj:
Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization. CLEF (Working Notes) 2020 - [c33]Boshko Koloski, Senja Pollak, Blaz Skrlj:
Know your Neighbors: Efficient Author Profiling via Follower Tweets. CLEF (Working Notes) 2020 - [c32]Senja Pollak, Matej Martinc, Katja Mihurko Poniz:
Natural Language Processing for Literary Text Analysis: Word-Embeddings-Based Analysis of Zofka Kveder's Work. DHandNLP@PROPOR 2020: 33-42 - [c31]Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak:
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. DS 2020: 109-123 - [c30]Nada Lavrac, Matej Martinc, Senja Pollak, Bojan Cestnik:
Bisociative Literature-Based Discovery: Lessons Learned and New Prospects. ICCC 2020: 139-145 - [c29]Martin Marzidovsek, Senja Pollak:
A Study on Reproducibility in Computational Creativity Research. ICCC 2020: 350-357 - [c28]Matej Martinc, Senja Pollak:
Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia. INTERSPEECH 2020: 2157-2161 - [c27]Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. LREC 2020: 4811-4819 - [c26]Carlos Santos Armendariz, Matthew Purver, Matej Ulcar, Senja Pollak, Nikola Ljubesic, Mark Granroth-Wilding:
CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. LREC 2020: 5878-5886 - [c25]Carlos Santos Armendariz, Matthew Purver, Senja Pollak, Nikola Ljubesic, Matej Ulcar, Ivan Vulic, Mohammad Taher Pilehvar:
SemEval-2020 Task 3: Graded Word Similarity in Context. SemEval@COLING 2020: 36-49 - 2019
- [c24]Matej Martinc, Blaz Skrlj, Senja Pollak:
Who is Hot and Who is Not? Profiling Celebs on Twitter. CLEF (Working Notes) 2019 - [c23]Matej Martinc, Blaz Skrlj, Senja Pollak:
Fake or Not: Distinguishing between Bots, Males and Females. CLEF (Working Notes) 2019 - [c22]Matej Martinc, Senja Pollak:
Pooled LSTM for Dutch Cross-genre Gender Classification. GxG@CLIN 2019: 45-52 - [c21]Fasih Haider, Senja Pollak, Pierre Albert, Saturnino Luz:
Extracting Audio-Visual Features for Emotion Recognition Through Active Feature Selection. GlobalSIP 2019: 1-5 - [c20]Blaz Skrlj, Senja Pollak:
Language Comparison via Network Topology. SLSP 2019: 112-123 - [c19]Blaz Skrlj, Andraz Repar, Senja Pollak:
RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation. SLSP 2019: 311-323 - 2018
- [c18]Matej Martinc, Blaz Skrlj, Senja Pollak:
Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c17]Jan Stihec, Martin Znidarsic, Senja Pollak:
Simplified Hybrid Approach for Detection of Semantic Orientations in Economic Texts. ECIR 2018: 692-698 - [c16]Martin Znidarsic, Matej Martinc, Andraz Repar, Senja Pollak:
BISLON: BISociative SLOgaN generation based on stylistic literary devices. ICCC 2018: 248-255 - [c15]Geraint A. Wiggins, Nada Lavrac, Vid Podpecan, Senja Pollak:
Conceptualising Computational Creativity: Towards automated historiography of a research field. ICCC 2018: 288-295 - [c14]Fasih Haider, Senja Pollak, Eleni Zarogianni, Saturnino Luz:
SAAMEAT: Active Feature Transformation and Selection Methods for the Recognition of User Eating Conditions. ICMI 2018: 564-568 - [c13]Matej Martinc, Senja Pollak:
Reusable workflows for gender prediction. LREC 2018 - 2017
- [c12]Ben Verhoeven, Iza Skrjanec, Senja Pollak:
Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style. BSNLP@EACL 2017: 119-125 - [c11]Matej Martinc, Iza Skrjanec, Katja Zupan, Senja Pollak:
PAN 2017: Author Profiling - Gender and Language Variety Prediction. CLEF (Working Notes) 2017 - 2016
- [c10]Senja Pollak, Biljana Mileva-Boshkoska, Dragana Miljkovic, Geraint A. Wiggins, Nada Lavrac:
Computational Creativity Conceptualisation Grounded on ICCC Papers. ICCC 2016: 123-130 - [c9]Pedro Martins, Senja Pollak, Tanja Urbancic, Amílcar Cardoso:
Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All? ICCC 2016: 346-353 - 2015
- [c8]Senja Pollak, Pedro Martins, Amílcar Cardoso, Tanja Urbancic:
Automated Blend Naming Based on Human Creativity Examples. ICCBR (Workshops) 2015: 93-102 - [c7]Pedro Martins, Tanja Urbancic, Senja Pollak, Nada Lavrac, Amílcar Cardoso:
The Good, the Bad, and the AHA! Blends. ICCC 2015: 166-173 - [c6]Nikola Ljubesic, Darja Fiser, Tomaz Erjavec, Jaka Cibej, Dafne Marko, Senja Pollak, Iza Skrjanec:
Predicting the Level of Text Standardness in User-generated Content. RANLP 2015: 371-378 - [c5]Senja Pollak, Borut Lesjak, Janez Kranjc, Vid Podpecan, Martin nidaric, Nada Lavrac:
RoboCHAIR: Creative Assistant for Question Generation and Ranking. SSCI 2015: 1468-1475 - 2012
- [c4]Senja Pollak, Anze Vavpetic, Janez Kranjc, Nada Lavrac, Spela Vintar:
NLP workflow for on-line definition extraction from English and Slovene text corpora. KONVENS 2012: 53-60 - [c3]Borut Sluban, Senja Pollak, Roel Coesemans, Nada Lavrac:
Irregularity Detection in Categorized Document Corpora. LREC 2012: 1598-1603 - 2011
- [c2]Darja Fiser, Nikola Ljubesic, Spela Vintar, Senja Pollak:
Building and Using Comparable Corpora for Domain-Specific Bilingual Lexicon Extraction. BUCC@ACL 2011: 19-26 - 2010
- [c1]Darja Fiser, Senja Pollak, Spela Vintar:
Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources. LREC 2010
Parts in Books or Collections
- 2019
- [p1]Nada Lavrac, Matjaz Jursic, Borut Sluban, Matic Perovsek, Senja Pollak, Tanja Urbancic, Bojan Cestnik:
Bisociative Knowledge Discovery for Cross-domain Literature Mining. Computational Creativity 2019: 121-139
Editorship
- 2020
- [e2]Maria José Finatto, Renata Vieira, Senja Pollak, Saturnino Luz:
Proceedings of the Workshop on Digital Humanities and Natural Language Processing, co-located with International Conference on the Computational Processing of Portuguese, DHandNLP@PROPOR 2020, Evora, Portugal, March 2, 2020. CEUR Workshop Proceedings 2607, CEUR-WS.org 2020 [contents] - 2019
- [e1]Carlos Martín-Vide, Matthew Purver, Senja Pollak:
Statistical Language and Speech Processing - 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14-16, 2019, Proceedings. Lecture Notes in Computer Science 11816, Springer 2019, ISBN 978-3-030-31371-5 [contents]
Informal and Other Publications
- 2024
- [i32]Marko Pranjic, Kaja Dobrovoljc, Senja Pollak, Matej Martinc:
Semantic change detection for Slovene language: a novel dataset and an approach based on optimal transport. CoRR abs/2402.16596 (2024) - [i31]Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic:
Multi-Task Learning for Features Extraction in Financial Annual Reports. CoRR abs/2404.05281 (2024) - [i30]Jaya Caporusso, Damar Hoogland, Mojca Brglez, Boshko Koloski, Matthew Purver, Senja Pollak:
A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media. CoRR abs/2404.07036 (2024) - [i29]Julien Delaunay, Tran Thi Hong Hanh, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Mathilde Ducos, Nicolas Sidere, Antoine Doucet, Senja Pollak, Olivier de Viron:
CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature. CoRR abs/2406.09128 (2024) - [i28]Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj:
AutoML-guided Fusion of Entity and LLM-based representations. CoRR abs/2408.09794 (2024) - [i27]Luka Andrensek, Boshko Koloski, Andraz Pelicon, Nada Lavrac, Senja Pollak, Matthew Purver:
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis. CoRR abs/2409.20054 (2024) - 2023
- [i26]Tran Thi Hong Hanh, Matej Martinc, Jaya Caporusso, Antoine Doucet, Senja Pollak:
The Recent Advances in Automatic Term Extraction: A survey. CoRR abs/2301.06767 (2023) - [i25]Bojan Evkoski, Senja Pollak:
XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament. CoRR abs/2305.04631 (2023) - [i24]Ilija Tavchioski, Marko Robnik-Sikonja, Senja Pollak:
Detection of depression on social networks using transformers and ensembles. CoRR abs/2305.05325 (2023) - [i23]Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak:
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies. CoRR abs/2309.06089 (2023) - [i22]Boshko Koloski, Blaz Skrlj, Senja Pollak, Nada Lavrac:
Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data. CoRR abs/2309.15757 (2023) - [i21]Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin:
AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining. CoRR abs/2312.15784 (2023) - 2022
- [i20]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? CoRR abs/2202.06650 (2022) - [i19]Blaz Skrlj, Boshko Koloski, Senja Pollak:
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction. CoRR abs/2208.07262 (2022) - [i18]Tran Thi Hong Hanh, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak:
Ensembling Transformers for Cross-domain Automatic Term Extraction. CoRR abs/2212.05696 (2022) - 2021
- [i17]Boshko Koloski, Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
Identification of COVID-19 related Fake News via Neural Stacking. CoRR abs/2101.03988 (2021) - [i16]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. CoRR abs/2102.00472 (2021) - [i15]Timen Stepisnik Perdih, Senja Pollak, Blaz Skrlj:
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification. CoRR abs/2106.09230 (2021) - [i14]Matej Ulcar, Ales Zagar, Carlos Santos Armendariz, Andraz Repar, Senja Pollak, Matthew Purver, Marko Robnik-Sikonja:
Evaluation of contextual embeddings on less-resourced languages. CoRR abs/2107.10614 (2021) - [i13]Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac:
Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning. CoRR abs/2110.08874 (2021) - [i12]Boshko Koloski, Timen Stepisnik Perdih, Marko Robnik-Sikonja, Senja Pollak, Blaz Skrlj:
Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles. CoRR abs/2110.10457 (2021) - [i11]Tran Thi Hong Hanh, Antoine Doucet, Nicolas Sidere, José G. Moreno, Senja Pollak:
Named entity recognition architecture combining contextual and global features. CoRR abs/2112.08033 (2021) - 2020
- [i10]Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based Neural Tagger for Keyword Identification. CoRR abs/2003.09166 (2020) - [i9]Blaz Skrlj, Nika Erzen, Shane Sheehan, Saturnino Luz, Marko Robnik-Sikonja, Senja Pollak:
AttViz: Online exploration of self-attention for transparent neural language modeling. CoRR abs/2005.05716 (2020) - [i8]Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak:
COVID-19 therapy target discovery with context-aware literature mining. CoRR abs/2007.15681 (2020) - 2019
- [i7]Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. CoRR abs/1902.00438 (2019) - [i6]Blaz Skrlj, Andraz Repar, Senja Pollak:
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation. CoRR abs/1907.06458 (2019) - [i5]Blaz Skrlj, Senja Pollak:
Language comparison via network topology. CoRR abs/1907.06944 (2019) - [i4]Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and unsupervised neural approaches to text readability. CoRR abs/1907.11779 (2019) - [i3]Fasih Haider, Senja Pollak, Pierre Albert, Saturnino Luz:
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods. CoRR abs/1908.10623 (2019) - [i2]Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. CoRR abs/1912.01072 (2019) - [i1]Carlos Santos Armendariz, Matthew Purver, Matej Ulcar, Senja Pollak, Nikola Ljubesic, Marko Robnik-Sikonja, Mark Granroth-Wilding, Kristiina Vaik:
CoSimLex: A Resource for Evaluating Graded Word Similarity in Context. CoRR abs/1912.05320 (2019)
Coauthor Index
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