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2020 – today
- 2024
[j9]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)- [i13]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) - [i12]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) - 2023
- [i11]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) - 2022
- [j8]Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based neural tagger for keyword identification. Nat. Lang. Eng. 28(4): 409-448 (2022) - [c29]Tran Thi Hong Hanh, Matej Martinc, Antoine Doucet, Senja Pollak:
Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer? DS 2022: 363-378 - [c28]Tran Thi Hong Hanh, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak:
Ensembling Transformers for Cross-domain Automatic Term Extraction. ICADL 2022: 90-100 - [c27]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 - [c26]Matej Martinc, Syrielle Montariol, Lidia Pivovarova, Elaine Zosa:
Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings. LREC 2022: 3561-3570 - [c25]Ligeia Lugli, Matej Martinc, Andraz Pelicon, Senja Pollak:
Embeddings models for Buddhist Sanskrit. LREC 2022: 3861-3871 - [c24]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 - [c23]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 - [i10]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) - [i9]Larisa Grcic Simeunovic, Matej Martinc, Spela Vintar:
A bilingual approach to specialised adjectives through word embeddings in the karstology domain. CoRR abs/2203.16885 (2022) - [i8]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
- [j7]Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and Unsupervised Neural Approaches to Text Readability. Comput. Linguistics 47(1): 141-179 (2021) - [j6]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) - [j5]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) - [c22]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. EACL (Hackashop) 2021: 22-29 - [c21]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 - [c20]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 - [c19]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 - [c18]Syrielle Montariol, Matej Martinc, Lidia Pivovarova:
Scalable and Interpretable Semantic Change Detection. NAACL-HLT 2021: 4642-4652 - [i7]Boshko Koloski, Senja Pollak, Blaz Skrlj, Matej Martinc:
Extending Neural Keyword Extraction with TF-IDF tagset matching. CoRR abs/2102.00472 (2021) - 2020
- [j4]Andraz Repar, Matej Martinc, Senja Pollak:
Reproduction, replication, analysis and adaptation of a term alignment approach. Lang. Resour. Evaluation 54(3): 767-800 (2020) - [j3]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) - [c17]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 - [c16]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 - [c15]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 - [c14]Nada Lavrac, Matej Martinc, Senja Pollak, Bojan Cestnik:
Bisociative Literature-Based Discovery: Lessons Learned and New Prospects. ICCC 2020: 139-145 - [c13]Matej Martinc, Senja Pollak:
Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia. INTERSPEECH 2020: 2157-2161 - [c12]Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. LREC 2020: 4811-4819 - [c11]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection. SemEval@COLING 2020: 67-73 - [c10]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Capturing Evolution in Word Usage: Just Add More Clusters? WWW (Companion Volume) 2020: 343-349 - [i6]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Capturing Evolution in Word Usage: Just Add More Clusters? CoRR abs/2001.06629 (2020) - [i5]Matej Martinc, Blaz Skrlj, Senja Pollak:
TNT-KID: Transformer-based Neural Tagger for Keyword Identification. CoRR abs/2003.09166 (2020) - [i4]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)
2010 – 2019
- 2019
- [j2]Matej Martinc, Senja Pollak:
Combining n-grams and deep convolutional features for language variety classification. Nat. Lang. Eng. 25(5): 607-632 (2019) - [c9]Matej Martinc, Blaz Skrlj, Senja Pollak:
Who is Hot and Who is Not? Profiling Celebs on Twitter. CLEF (Working Notes) 2019 - [c8]Matej Martinc, Blaz Skrlj, Senja Pollak:
Fake or Not: Distinguishing between Bots, Males and Females. CLEF (Working Notes) 2019 - [c7]Matej Martinc, Senja Pollak:
Pooled LSTM for Dutch Cross-genre Gender Classification. GxG@CLIN 2019: 45-52 - [c6]Andraz Pelicon, Matej Martinc, Petra Kralj Novak:
Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches. SemEval@NAACL-HLT 2019: 604-610 - [i3]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) - [i2]Matej Martinc, Senja Pollak, Marko Robnik-Sikonja:
Supervised and unsupervised neural approaches to text readability. CoRR abs/1907.11779 (2019) - [i1]Matej Martinc, Petra Kralj Novak, Senja Pollak:
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift. CoRR abs/1912.01072 (2019) - 2018
- [j1]Matej Martinc, Martin Znidarsic, Nada Lavrac, Senja Pollak:
Towards Creative Software Blending: Computational Infrastructure and Use Cases. Informatica (Slovenia) 42(1) (2018) - [c5]Kaja Dobrovoljc, Matej Martinc:
Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing. UDW@EMNLP 2018: 37-46 - [c4]Matej Martinc, Blaz Skrlj, Senja Pollak:
Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c3]Martin Znidarsic, Matej Martinc, Andraz Repar, Senja Pollak:
BISLON: BISociative SLOgaN generation based on stylistic literary devices. ICCC 2018: 248-255 - [c2]Matej Martinc, Senja Pollak:
Reusable workflows for gender prediction. LREC 2018 - 2017
- [c1]Matej Martinc, Iza Skrjanec, Katja Zupan, Senja Pollak:
PAN 2017: Author Profiling - Gender and Language Variety Prediction. CLEF (Working Notes) 2017
Coauthor Index
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last updated on 2024-07-05 21:02 CEST by the dblp team
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