← Authors

Arkaitz Zubiaga

35 papers · 2012–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (48) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (12) πŸ‘₯ Mega-Team (33) πŸ—ƒοΈ Keyword Collector (114) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) ⚑ Prolific Year (7) πŸ’Ž Century Club (31)

Conferences

SEMEVAL (8) COLING (7) EACL (7) NAACL (4) ACL (3) EMNLP (3) IJCNLP (2) AACL (1)

Top co-authors

Maria Liakata (9) Rob Procter (6) Dina Pisarevskaya (6) Elena Kochkina (5) Rrubaa Panchendrarajan (4) Xia Zeng (3) Leon Derczynski (3) Weihe Zhai (3) Bo Wang (3) Bingquan Liu (3)

Research topics

Applications (1)

Keywords

misinformation detection (5) claim verification (4) binary classification (4) sentiment analysis (4) semantic similarity (3) stance detection (3) natural language inference (3) claim matching (3) stance classification (3) text classification (3) social media (3) named entity recognition (3) rumour detection (3) machine translation (2) few-shot learning (2) nearest neighbor search (2) natural language processing (2) transformer architecture (2) multi-label classification (2) rumor detection (2)

Papers

Entity-aware Cross-lingual Claim Detection for Automated Fact-checking EACL 2026
BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking EACL 2026
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment EACL 2026
Agent-based Automated Claim Matching with Instruction-following LLMs AACL 2025
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification ACL 2025
Agent-based Automated Claim Matching with Instruction-following LLMs IJCNLP 2025
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking COLING 2025
ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim Retrieval ACL 2025
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification SEMEVAL 2025
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters EMNLP 2025
ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim Retrieval SEMEVAL 2025
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification EACL 2024
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering EMNLP 2024
PANACEA: An Automated Misinformation Detection System on COVID-19 EACL 2023
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training EACL 2023
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity SEMEVAL 2022
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA) SEMEVAL 2022
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims NAACL 2022
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity NAACL 2022
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA) NAACL 2022
QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification NAACL 2021
MultiLexNorm: A Shared Task on Multilingual Lexical Normalization EMNLP 2021
Detection and Resolution of Rumors and Misinformation with NLP COLING 2020
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis SEMEVAL 2020
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis COLING 2020
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours SEMEVAL 2019
All-in-one: Multi-task Learning for Rumour Verification COLING 2018
TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter IJCNLP 2017
TDParse: Multi-target-specific sentiment recognition on Twitter EACL 2017
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours SEMEVAL 2017
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter ACL 2016
Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations COLING 2016
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition SEMEVAL 2015
Tweet Ranking Based on Heterogeneous Networks COLING 2012
Analysis and Enhancement of Wikification for Microblogs with Context Expansion COLING 2012