conftrace_

Piotr Andruszkiewicz

15 papers · 2016–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer
🌉 Interdisciplinary Bridge 🧬 Topic Evolution 🏆 Keyword Champion (2) 💎 Century Club (14) 🔥 Unstoppable (5) 🗃️ Keyword Collector (60) The Questioner

Conferences

SEMEVAL (5) ACL (2) COLING (2) INTERSPEECH (2) NAACL (2) EACL (1) IJCNLP (1)

Papers

Is a Document Educational or Just Wikipedia-Style? — Pitfalls of Classifier-Based Quality Filtering ACL 2026 No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement COLING 2025 Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation COLING 2024 PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis NAACL 2024 PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis SEMEVAL 2024 SAMSEMO: New dataset for multilingual and multimodal emotion recognition INTERSPEECH 2024 "Select language, modality or put on a mask!" Experiments with Multimodal Emotion Recognition INTERSPEECH 2023 Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles NAACL 2022 Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles SEMEVAL 2022 SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection SEMEVAL 2021 Multilingual Entity and Relation Extraction Dataset and Model EACL 2021 SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection IJCNLP 2021 SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection ACL 2021 WUT at SemEval-2019 Task 9: Domain-Adversarial Neural Networks for Domain Adaptation in Suggestion Mining SEMEVAL 2019 Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. SEMEVAL 2016