conftrace_

Pia Sommerauer

13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (34)
🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🧬 Topic Evolution πŸ† Keyword Champion (3) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (81) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (13)

Conferences

ACL (4) EMNLP (4) COLING (2) NAACL (2) SEMEVAL (1)

Research topics

Papers

Language Models Lack Temporal Generalization and Bigger is Not Better ACL 2025 Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text EMNLP 2025 Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE ACL 2025 Studying Language Variation Considering the Re-Usability of Modern Theories, Tools and Resources for Annotating Explicit and Implicit Events in Centuries Old Text NAACL 2024 Tracking Perspectives on Event Participants: a Structural Analysis of the Framing of Real-World Events in Co-Referential Corpora COLING 2024 Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models EMNLP 2023 Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022 Challenging distributional models with a conceptual network of philosophical terms NAACL 2021 Why is penguin more similar to polar bear than to sea gull? Analyzing conceptual knowledge in distributional models ACL 2020 Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement COLING 2020 Conceptual Change and Distributional Semantic Models: an Exploratory Study on Pitfalls and Possibilities ACL 2019 Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings SEMEVAL 2018 Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell EMNLP 2018