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