bot.zen at LangLearn: regressing towards interpretability

Egon Waldemar Stemle; Martina Tebaldini; Francesca Bonanni; Filippo Pellegrino; Paolo Brasolin; Greta Franzini; Jennifer-Carmen Frey; Olga Lopopolo; Stefania Spina

bot.zen at LangLearn: regressing towards interpretability

Conference presentation

Open access

bot.zen at LangLearn: regressing towards interpretability

Egon Waldemar Stemle, Martina Tebaldini, Francesca Bonanni, Filippo Pellegrino, Paolo Brasolin, Greta Franzini, Jennifer-Carmen Frey, Olga Lopopolo and Stefania Spina

EVALITA 2023: 8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (Parma, 07/09/2023 - 08/09/2023)

2023

Handle:

https://hdl.handle.net/10863/36638

Abstract

Presentation at the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023). This presentation describes the bot.zen system that participated in the Language Learning Development (LangLearn) shared task of the EVALITA 2023 campaign.

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CC BY V4.0, Open Access

url

https://www.evalita.it/campaigns/evalita-2023/View

Details

Title: bot.zen at LangLearn: regressing towards interpretability
Creators: Egon Waldemar Stemle
Martina Tebaldini
Francesca Bonanni
Filippo Pellegrino
Paolo Brasolin
Greta Franzini
Jennifer-Carmen Frey
Olga Lopopolo
Stefania Spina
Conference: EVALITA 2023: 8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (Parma, 07/09/2023 - 08/09/2023)
Identifiers: (EURAC)27512638
991006613897901241
Copyright: CC BY 4.0
Academic Unit: Institute for Applied Linguistics
Language: English
Resource Type: Conference presentation
Description coverage: international
Description audience: Scientific
Local Fields: Scientific
Author Names String: Stemle EW, Tebaldini M, Bonanni F, Pellegrino F, Brasolin P, Franzini GH, Frey JC, Lopopolo O, Spina S

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