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Tommaso Fornaciari

20 papers · 2014–2023 · 6 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (9) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (7)
🌍 Conference Polyglot (6) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (14) πŸ† Keyword Champion (3) πŸ’Ž Century Club (20) ⚑ Prolific Year (10) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (72) πŸ”₯ Unstoppable (6)

Conferences

ACL (6) EMNLP (5) EACL (3) IJCNLP (3) SEMEVAL (2) NAACL (1)

Research topics

Papers

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 ACL 2021 BERTective: Language Models and Contextual Information for Deception Detection EACL 2021 MilaNLP @ WASSA: Does BERT Feel Sad When You Cry? EACL 2021 SemEval-2021 Task 12: Learning with Disagreements SEMEVAL 2021 Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning NAACL 2021 SemEval-2021 Task 12: Learning with Disagreements IJCNLP 2021 β€œWe will Reduce Taxes” - Identifying Election Pledges with Language Models ACL 2021 We Need to Consider Disagreement in Evaluation IJCNLP 2021 β€œWe will Reduce Taxes” - Identifying Election Pledges with Language Models IJCNLP 2021 We Need to Consider Disagreement in Evaluation ACL 2021 β€œYou Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases ACL 2020 Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success EMNLP 2020 Identifying Linguistic Areas for Geolocation EMNLP 2019 Dense Node Representation for Geolocation EMNLP 2019 Geolocation with Attention-Based Multitask Learning Models EMNLP 2019 Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information EMNLP 2018 Identifying fake Amazon reviews as learning from crowds EACL 2014