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Senja Pollak
Senja Pollak
researcher, Joľef Stefan Institute, Coordinator of EMBEDDIA (H2020)
Zweryfikowany adres z ijs.si
Tytuł
Cytowane przez
Cytowane przez
Rok
Supervised and unsupervised neural approaches to text readability
M Martinc, S Pollak, M Robnik-©ikonja
Computational Linguistics 47 (1), 141-179, 2021
1492021
PAN 2017: Author Profiling-Gender and Language Variety Prediction.
M Martinc, I Skrjanec, K Zupan, S Pollak
CLEF (working notes), 2017
87*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
832020
tax2vec: Constructing interpretable features from taxonomies for short text classification
B ©krlj, M Martinc, J Kralj, N Lavrač, S Pollak
Computer Speech & Language 65, 101104, 2021
572021
Knowledge graph informed fake news classification via heterogeneous representation ensembles
B Koloski, TS Perdih, M Robnik-©ikonja, S Pollak, B ©krlj
Neurocomputing 496, 208-226, 2022
552022
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
552021
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
552011
Zero-shot learning for cross-lingual news sentiment classification
A Pelicon, M Pranjić, D Miljković, B ©krlj, S Pollak
Applied Sciences 10 (17), 5993, 2020
492020
BERT meets shapley: Extending SHAP explanations to transformer-based classifiers
E Kokalj, B ©krlj, N Lavrač, S Pollak, M Robnik-©ikonja
Proceedings of the EACL hackashop on news media content analysis and …, 2021
472021
TNT-KID: Transformer-based neural tagger for keyword identification
M Martinc, B ©krlj, S Pollak
Natural Language Engineering 28 (4), 409-448, 2022
452022
Predicting the level of text standardness in user generated content.
N Ljubeąić, D Fiąer, T Erjavec, J Čibej, I© Marko, Dafne, Senja Pollak
Proceedings of the International Conference Recent Advances in Natural …, 2015
40*2015
Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.
M Martinc, S Pollak
Interspeech, 2157-2161, 2020
382020
RaKUn: Rank-based Keyword Extraction via Unsupervised Learning and Meta Vertex Aggregation
B ©krlj, A Repar, S Pollak
Statistical Language and Speech Processing: 7th International Conference …, 2019
372019
A Resource for Evaluating Graded Word Similarity in Context: CoSimLex
C Armendariz, P Matthew, M Ulčar, S Pollak, N Ljubeąić, ...
35*2020
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
342021
SemEval-2020 task 3: Graded word similarity in context
CS Armendariz, M Purver, S Pollak, N Ljubeąić, M Ulčar, I Vulić, ...
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 36-49, 2020
332020
Towards robust text classification with semantics-aware recurrent neural architecture
B ©krlj, J Kralj, N Lavrač, S Pollak
Machine Learning and Knowledge Extraction 1 (2), 34, 2019
282019
Identification of COVID-19 related fake news via neural stacking
B Koloski, T Stepiąnik-Perdih, S Pollak, B ©krlj
International Workshop on Combating Online Hostile Posts in Regional …, 2021
252021
NLP workflow for on-line definition extraction from English and Slovene text corpora
S Pollak, A Vavpetič, J Kranjc, © Vintar, N Lavrac
Konvens, 2012
252012
Investigating cross-lingual training for offensive language detection
A Pelicon, R Shekhar, B ©krlj, M Purver, S Pollak
PeerJ Computer Science 7, e559, 2021
232021
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