Alexandra Uma

12 papers · 2018–2024 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🤝 Dynamic Duo (12) ⚡ Prolific Year (6) 💎 Century Club (12)

Conferences

ACL (4) NAACL (3) IJCNLP (2) SEMEVAL (2) COLING (1)

Top co-authors

Massimo Poesio (12) Tommaso Fornaciari (9) Barbara Plank (8) Silviu Paun (5) Dirk Hovy (4) Valerio Basile (4) Jon Chamberlain (4) Tristan Miller (3) Elisa Leonardelli (3) Edwin Simpson (3)

Research topics

Learning Paradigms (1)

Keywords

annotation disagreement (7) label noise (4) inter-annotator disagreement (4) soft label (3) weakly supervised learning (3) natural language processing (3) evaluation metric (2) coreference resolution (2) ground truth (2) inter-annotator agreement (2) text annotation (1) machine learning (1) label aggregation (1) multi-annotator learning (1) model evaluation (1) sentiment analysis (1) weak supervision (1) corpus linguistics (1) dataset bia (1) euclidean distance (1)

Papers

Soft metrics for evaluation with disagreements: an assessment COLING 2024

SemEval-2023 Task 11: Learning with Disagreements (LeWiDi) ACL 2023

SemEval-2023 Task 11: Learning with Disagreements (LeWiDi) SEMEVAL 2023

Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa ACL 2022

SemEval-2021 Task 12: Learning with Disagreements IJCNLP 2021

SemEval-2021 Task 12: Learning with Disagreements ACL 2021

We Need to Consider Disagreement in Evaluation IJCNLP 2021

We Need to Consider Disagreement in Evaluation ACL 2021

Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning NAACL 2021

SemEval-2021 Task 12: Learning with Disagreements SEMEVAL 2021

A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation NAACL 2019

Anaphora Resolution with the ARRAU Corpus NAACL 2018