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2020 – today
- 2024
[i9]Anjali Yadav, Tanya Garg, Matej Klemen, Matej Ulcar, Basant Agarwal, Marko Robnik-Sikonja:
Code-mixed Sentiment and Hate-speech Prediction. CoRR abs/2405.12929 (2024)- 2023
- [j2]Matej Ulcar, Marko Robnik-Sikonja:
Sequence-to-sequence pretraining for a less-resourced Slovenian language. Frontiers Artif. Intell. 6 (2023) - 2022
- [j1]Matej Ulcar
, Marko Robnik-Sikonja:
Cross-lingual alignments of ELMo contextual embeddings. Neural Comput. Appl. 34(15): 13043-13061 (2022) - [i8]Matej Ulcar, Marko Robnik-Sikonja:
Sequence to sequence pretraining for a less-resourced Slovenian language. CoRR abs/2207.13988 (2022) - 2021
- [c8]Matej Ulcar, Marko Robnik-Sikonja:
Training Dataset and Dictionary Sizes Matter in BERT Models: The Case of Baltic Languages. AIST 2021: 162-172 - [c7]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 - [c6]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 - [i7]Matej Ulcar, Marko Robnik-Sikonja:
Cross-lingual alignments of ELMo contextual embeddings. CoRR abs/2106.15986 (2021) - [i6]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) - [i5]Matej Ulcar, Marko Robnik-Sikonja:
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages. CoRR abs/2112.10553 (2021) - 2020
- [c5]Matej Ulcar, Kristiina Vaik, Jessica Lindström, Milda Dailidenaite, Marko Robnik-Sikonja:
Multilingual Culture-Independent Word Analogy Datasets. LREC 2020: 4074-4080 - [c4]Matej Ulcar, Marko Robnik-Sikonja:
High Quality ELMo Embeddings for Seven Less-Resourced Languages. LREC 2020: 4731-4738 - [c3]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 - [c2]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 - [c1]Matej Ulcar, Marko Robnik-Sikonja:
FinEst BERT and CroSloEngual BERT - Less Is More in Multilingual Models. TDS 2020: 104-111 - [i4]Matej Ulcar, Marko Robnik-Sikonja:
FinEst BERT and CroSloEngual BERT: less is more in multilingual models. CoRR abs/2006.07890 (2020)
2010 – 2019
- 2019
- [i3]Matej Ulcar, Marko Robnik-Sikonja:
Multilingual Culture-Independent Word Analogy Datasets. CoRR abs/1911.10038 (2019) - [i2]Matej Ulcar, Marko Robnik-Sikonja:
High Quality ELMo Embeddings for Seven Less-Resourced Languages. CoRR abs/1911.10049 (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)
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last updated on 2024-06-19 21:51 CEST by the dblp team
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