Senja Pollak
Senja Pollak
researcher, Jožef Stefan Institute, Coordinator of EMBEDDIA (H2020)
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Supervised and unsupervised neural approaches to text readability
M Martinc, S Pollak, M Robnik-Šikonja
Computational Linguistics 47 (1), 141-179, 2021
PAN 2017: Author Profiling-Gender and Language Variety Prediction.
M Martinc, I Skrjanec, K Zupan, S Pollak
CLEF (working notes), 2017
Leveraging contextual embeddings for detecting diachronic semantic shift
M Martinc, P Kralj Novak, S Pollak
12th Language Resources and Evaluation Conference (LREC), 4811–4819, 2020
Knowledge graph informed fake news classification via heterogeneous representation ensembles
B Koloski, TS Perdih, M Robnik-Šikonja, S Pollak, B Škrlj
Neurocomputing 496, 208-226, 2022
tax2vec: Constructing interpretable features from taxonomies for short text classification
B Škrlj, M Martinc, J Kralj, N Lavrač, S Pollak
Computer Speech & Language 65, 101104, 2021
BERT meets shapley: Extending SHAP explanations to transformer-based classifiers
E Kokalj, B Škrlj, N Lavrač, S Pollak, M Robnik-Šikonja
Proceedings of the EACL hackashop on news media content analysis and …, 2021
Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods
F Haider, S Pollak, P Albert, S Luz
Computer Speech & Language 65, 101119, 2021
Detecting contrast patterns in newspaper articles by combining discourse analysis and text mining
S Pollak, R Coesemans, W Daelemans, N Lavrač
Pragmatics. Quarterly Publication of the International Pragmatics …, 2011
Zero-shot learning for cross-lingual news sentiment classification
A Pelicon, M Pranjić, D Miljković, B Škrlj, S Pollak
Applied Sciences 10 (17), 5993, 2020
TNT-KID: Transformer-based neural tagger for keyword identification
M Martinc, B Škrlj, S Pollak
Natural Language Engineering 28 (4), 409-448, 2022
Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.
M Martinc, S Pollak
Interspeech, 2157-2161, 2020
Predicting the level of text standardness in user generated content.
N Ljubešić, D Fišer, T Erjavec, J Čibej, IŠ Marko, Dafne, Senja Pollak
Proceedings of the International Conference Recent Advances in Natural …, 2015
Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech
M Martinc, F Haider, S Pollak, S Luz
Frontiers in Aging Neuroscience 13, 642647, 2021
RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation
B Škrlj, A Repar, S Pollak
Statistical Language and Speech Processing: 7th International Conference …, 2019
A Resource for Evaluating Graded Word Similarity in Context: CoSimLex
C Armendariz, P Matthew, M Ulčar, S Pollak, N Ljubešić, ...
SemEval-2020 task 3: Graded word similarity in context
CS Armendariz, M Purver, S Pollak, N Ljubešić, M Ulčar, I Vulić, ...
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 36-49, 2020
Investigating cross-lingual training for offensive language detection
A Pelicon, R Shekhar, B Škrlj, M Purver, S Pollak
PeerJ Computer Science 7, e559, 2021
Towards robust text classification with semantics-aware recurrent neural architecture
B Škrlj, J Kralj, N Lavrač, S Pollak
Machine Learning and Knowledge Extraction 1 (2), 34, 2019
Identification of COVID-19 related fake news via neural stacking
B Koloski, T Stepišnik-Perdih, S Pollak, B Škrlj
International Workshop on Combating Online Hostile Posts in Regional …, 2021
NLP workflow for on-line definition extraction from English and Slovene text corpora
S Pollak, A Vavpetič, J Kranjc, Š Vintar, N Lavrac
Konvens, 2012
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