Anton Chernyavskiy

5 papers · 2019–2024 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Venues

AACL (1) COLING (1) EMNLP (1) NAACL (1) SemEval (1)

Top co-authors

Dmitry Ilvovsky (5) Preslav Nakov (3) Svetlana Shomova (1) Irina Dushakova (1) Pavel Kalinin (1) Ivan Koychev (1) Momchil Hardalov (1) Ilya Kiriya (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (4) Deep Learning (3) Architectures (3) Natural Language Processing (2) Applications (2) Core Methods (2) Artificial Intelligence (1) Interdisciplinary (1) Core AI (1) Learning Types · Deep Learning (1) Social (1)

Keywords

text classification (3) propaganda detection (2) transfer learning (1) fact verification (1) natural language inference (1) claim verification (1) named entity recognition (1) ensemble model (1) textual entailment (1) contrastive loss (1) distant supervision (1) sentence embedding (1) social media (1) pre-trained transformer (1) multi-level classification (1) russian language (1) claim detection (1) corpus analysis (1) pairwise sentence scoring (1) pairwise scoring (1)

Papers

ZenPropaganda: A Comprehensive Study on Identifying Propaganda Techniques in Russian Coronavirus-Related Media COLING 2024 Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks NAACL 2022 CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media AACL 2022 Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning SemEval 2020 Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification EMNLP 2019