Boshko Koloski

According to our database1, Boshko Koloski authored at least 17 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
AHAM: Adapt, Help, Ask, Model - Harvesting LLMs for literature mining.
CoRR, 2023

Latent Graph Powered Semi-Supervised Learning on Biomedical Tabular Data.
CoRR, 2023

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies.
CoRR, 2023

Inducing Document Representations from Graphs: A Blueprint.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Knowledge graph informed fake news classification via heterogeneous representation ensembles.
Neurocomputing, 2022

EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article Similarity.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Multi-task Learning for Features Extraction in Financial Annual Reports.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction.
Proceedings of the Discovery Science - 25th International Conference, 2022

Early detection of depression with linear models using hand-crafted and contextual features.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Interesting cross-border news discovery using cross-lingual article linking and document similarity.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Extending Neural Keyword Extraction with TF-IDF tagset matching.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Identification of COVID-19 Related Fake News via Neural Stacking.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
Know your Neighbors: Efficient Author Profiling via Follower Tweets.
Proceedings of the Working Notes of CLEF 2020, 2020

Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization.
Proceedings of the Working Notes of CLEF 2020, 2020


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