Tommaso Fornaciari
15 papers · 2014–2023 · 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.
Achievements
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🤝
Dynamic Duo
(12)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(65)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Natural Language Processing
(8)
Applications · Natural Language Processing
(8)
Learning Types · Machine Learning
(8)
Core Methods
(7)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Architectures
(3)
Data Science & Analytics
(2)
Applications · Data Science & Analytics
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Computer Science
(1)
Interdisciplinary
(1)
Keywords
text classification
(4)
soft label
(3)
multi-task learning
(3)
annotation disagreement
(3)
attention mechanism
(3)
natural language processing
(2)
convolutional neural network
(2)
inter-annotator disagreement
(2)
label noise
(2)
graph embedding
(1)
weak supervision
(1)
contextual information
(1)
feature extraction
(1)
model evaluation
(1)
social media analysis
(1)
social network
(1)
clustering algorithm
(1)
machine translation
(1)
label aggregation
(1)
k-d tree
(1)
Papers
SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)
SemEval 2023
Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa
ACL 2022
BERTective: Language Models and Contextual Information for Deception Detection
EACL 2021
Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning
NAACL 2021
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?
EACL 2021
SemEval-2021 Task 12: Learning with Disagreements
SemEval 2021
We Need to Consider Disagreement in Evaluation
ACL 2021
“We will Reduce Taxes” - Identifying Election Pledges with Language Models
ACL 2021
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
EMNLP 2020
“You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases
ACL 2020
Dense Node Representation for Geolocation
EMNLP 2019
Geolocation with Attention-Based Multitask Learning Models
EMNLP 2019
Identifying Linguistic Areas for Geolocation
EMNLP 2019
Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information
EMNLP 2018
Identifying fake Amazon reviews as learning from crowds
EACL 2014