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Clara Vania

18 papers · 2017–2025 · 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.

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (49) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Legion 🧬 Topic Evolution 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (4) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (90)

Papers

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants ACL 2025 WebIE: Faithful and Robust Information Extraction on the Web ACL 2023 Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference NAACL 2022 Comparing Test Sets with Item Response Theory ACL 2021 Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection EMNLP 2021 IndoNLI: A Natural Language Inference Dataset for Indonesian EMNLP 2021 SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages ACL 2021 VisualSem: a high-quality knowledge graph for vision and language EMNLP 2021 What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL 2021 Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options AACL 2020 CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP 2020 English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too AACL 2020 Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL 2020 A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages EMNLP 2019 Explicitly modeling case improves neural dependency parsing EMNLP 2018 What do character-level models learn about morphology? The case of dependency parsing EMNLP 2018 From Characters to Words to in Between: Do We Capture Morphology? ACL 2017 UParse: the Edinburgh system for the CoNLL 2017 UD shared task CoNLL 2017