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Teresa Paccosi
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Conference and Workshop Papers
- 2024
- [c9]Margherita Andrao
, Diego Morra
, Teresa Paccosi
, Maristella Matera
, Barbara Treccani
, Massimo Zancanaro
:
"This Sounds Unclear": Evaluating ChatGPT capability in translating end-user prompts into ready-to-deploy Python Code. AVI 2024: 40:1-40:4 - 2023
- [c8]Alessio Palmero Aprosio, Teresa Paccosi:
NERMuD at EVALITA 2023: Overview of the Named-Entities Recognition on Multi-Domain Documents Task (short paper). EVALITA 2023 - 2022
- [c7]Stefano Menini, Teresa Paccosi, Sara Tonelli, Marieke van Erp, Inger Leemans
, Pasquale Lisena, Raphaël Troncy, William Tullett, Ali Hürriyetoglu
, Ger Dijkstra, Femke Gordijn, Elias Jürgens, Josephine Koopman, Aron Ouwerkerk, Sanne Steen
, Inna Novalija, Janez Brank, Dunja Mladenic, Anja Zidar:
A Multilingual Benchmark to Capture Olfactory Situations over Time. LChange@ACL 2022: 1-10 - [c6]Teresa Paccosi, Alessio Palmero Aprosio:
KIND: an Italian Multi-Domain Dataset for Named Entity Recognition. LREC 2022: 501-507 - [c5]Stefano Menini, Teresa Paccosi, Serra Sinem Tekiroglu, Sara Tonelli:
Building a Multilingual Taxonomy of Olfactory Terms with Timestamps. LREC 2022: 4030-4039 - [c4]Kiymet Akdemir, Ali Hürriyetoglu, Raphaël Troncy, Teresa Paccosi, Stefano Menini, Mathias Zinnen, Vincent Christlein:
Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER. MediaEval 2022 - [c3]Ali Hürriyetoglu, Teresa Paccosi, Stefano Menini, Mathias Zinnen, Pasquale Lisena, Kiymet Akdemir, Raphaël Troncy, Marieke van Erp:
MUSTI - Multimodal Understanding of Smells in Texts and Images at MediaEval 2022. MediaEval 2022 - 2021
- [c2]Teresa Paccosi, Alessio Palmero Aprosio:
REDIT: A Tool and Dataset for Extraction of Personal Data in Documents of the Public Administration Domain. CLiC-it 2021 - [c1]Teresa Paccosi, Alessio Palmero Aprosio, Sara Tonelli:
It Is MarkIT That Is New: An Italian Treebank of Marked Constructions. CLiC-it 2021
Informal and Other Publications
- 2021
- [i1]Teresa Paccosi, Alessio Palmero Aprosio:
KIND: an Italian Multi-Domain Dataset for Named Entity Recognition. CoRR abs/2112.15099 (2021)
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