FORNACIARI, TOMMASO

FORNACIARI, TOMMASO  

Dipartimento di Marketing  

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Titolo Data di pubblicazione Autore(i) Rivista Editore
A case for soft loss functions 1-gen-2020 Uma, Alexandra; Fornaciari, Tommaso; Hovy, Dirk; Paun, Silviu; Plank, Barbara; Poesio, Massimo - (seleziona...)
BERTective: language models and contextual information for deception detection 1-gen-2021 Fornaciari, Tommaso; Bianchi, Federico; Poesio, Massimo; Hovy, Dirk - Association for Computational Linguistics
Beyond black & white: leveraging annotator disagreement via soft-label multi-task learning 1-gen-2021 Fornaciari, Tommaso; Uma, Alexandra; Paun, Silviu; Plank, Barbara; Hovy, Dirk; Poesio, Massimo - Association for Computational Linguistics
Dense node representation for geolocation 1-gen-2019 Fornaciari, Tommaso; Hovy, Dirk - Association for Computational Linguistics
Fake opinion detection: how similar are crowdsourced datasets to real data? 1-gen-2020 Fornaciari, Tommaso; Cagnina, Leticia; Rosso, Paolo; Poesio, Massimo LANGUAGE RESOURCES AND EVALUATION -
Gender and age bias in commercial machine translation 1-gen-2023 Bianchi, Federico; Fornaciari, Tommaso; Hovy, Dirk; Nozza, Debora - Springer
Geolocation with attention-based multitask learning models 1-gen-2019 Fornaciari, Tommaso; Hovy, Dirk - Association for Computational Linguistics
Hard and soft evaluation of NLP models with BOOtSTrap SAmpling - BooStSa 1-gen-2022 Fornaciari, Tommaso; Uma, Alexandra; Poesio, Massimo; Hovy, Dirk - Association for Computational Linguistics
Helpful or hierarchical? Predicting the communicative strategies of chat participants, and their impact on success 1-gen-2020 Rashid, Farzana; Fornaciari, Tommaso; Hovy, Dirk; Blanco, Eduardo; Vega-Redondo, Fernando - Association for Computational Linguistics
Identifying linguistic areas for geolocation 1-gen-2019 Fornaciari, Tommaso; Hovy, Dirk - Association for Computational Linguistics
Increasing in-class similarity by retrofitting embeddings with demographic information 1-gen-2018 Hovy, Dirk; Fornaciari, Tommaso - Association for Computational Linguistics
Learning from disagreement: a survey 1-gen-2021 Uma, Alexandra N.; Fornaciari, Tommaso; Hovy, Dirk; Paun, Silviu; Plank, Barbara; Poesio, Massimo THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH -
MilaNLP @ WASSA: does BERT feel sad when you cry? 1-gen-2021 Fornaciari, Tommaso; Bianchi, Federico; Nozza, Debora; Hovy, Dirk - Association for Computational Linguistics
ProSiT! Latent Variable Discovery with PROgressive SImilarity Thresholds 1-gen-2022 Fornaciari, Tommaso; Hovy, Dirk; Bianchi, Federico - -
SemEval-2021 Task 12: learning with disagreements 1-gen-2021 Uma, Alexandra; Fornaciari, Tommaso; Dumitrache, Anca; Miller, Tristan; Chamberlain, Jon; Plank, Barbara; Simpson, Edwin; Poesio, Massimo - Association for Computational Linguistics
We need to consider disagreement in evaluation 1-gen-2021 Basile, Valerio; Fell, Michael; Fornaciari, Tommaso; Hovy, Dirk; Paun, Silviu; Plank, Barbara; Poesio, Massimo; Uma, Alexandra - Association for Computational Linguistics
“We will reduce taxes” - Identifying election pledges with language models 1-gen-2021 Fornaciari, Tommaso; Hovy, Dirk; Naurin, Elin; Runeson, Julia; Thomson, Robert; Adhikari, Pankaj - Association for Computational Linguistics
“You sound just like your father”. Commercial machine translation systems include stylistic biases 1-gen-2020 Hovy, Dirk; Bianchi, Federico; Fornaciari, Tommaso - Association for Computational Linguistics