bot.zen at LangLearn: regressing towards interpretability

D 2023

bot.zen at LangLearn: regressing towards interpretability

STEMLE, Egon, Martina TEBALDINI, Francesca BONANNI, Filippo PELLEGRINO, Paolo BRASOLIN et. al.

Základní údaje

Originální název

bot.zen at LangLearn: regressing towards interpretability

Autoři

STEMLE, Egon (276 Německo, garant, domácí), Martina TEBALDINI (380 Itálie), Francesca BONANNI (380 Itálie), Filippo PELLEGRINO (380 Itálie), Paolo BRASOLIN (380 Itálie), Greta H. FRANZINI (826 Velká Británie a Severní Irsko), Jennifer-Carmen FREY (40 Rakousko), Olga LOPOPOLO (380 Itálie) a Stefania SPINA (380 Itálie)

Vydání

Parma, Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, od s. 1-5, 5 s. 2023

Nakladatel

CEUR.org

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/23:00133120

Organizační jednotka

Fakulta informatiky

ISSN

Klíčová slova anglicky

system description; langlearn; evalita; shared task; regression; MALT-IT2; bot.zen

Štítky

firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 4. 2024 21:49, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

This article describes the bot.zen system that participated in the Language Learning Development (LangLearn) shared task of the EVALITA 2023 campaign. We developed a simple machine learning system with good interpretability for later use, and used the shared task as an opportunity to provide Master’s students with hands-on training and practical experience in NLP.

Citovat

STEMLE, Egon, Martina TEBALDINI, Francesca BONANNI, Filippo PELLEGRINO, Paolo BRASOLIN, Greta H. FRANZINI, Jennifer-Carmen FREY, Olga LOPOPOLO a Stefania SPINA. bot.zen at LangLearn: regressing towards interpretability. Online. In M. Lai, S. Menini, M. Polignano,V. Russo, R. Sprugnoli, G. Venturi. Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Parma: CEUR.org, 2023, s. 1-5. ISSN 1613-0073.

@inproceedings{2363577,
   author = {Stemle, Egon and Tebaldini, Martina and Bonanni, Francesca and Pellegrino, Filippo and Brasolin, Paolo and Franzini, Greta H. and Frey, JenniferandCarmen and Lopopolo, Olga and Spina, Stefania},
   address = {Parma},
   booktitle = {Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian},
   editor = {M. Lai, S. Menini, M. Polignano,V. Russo, R. Sprugnoli, G. Venturi},
   keywords = {system description; langlearn; evalita; shared task; regression; MALT-IT2; bot.zen},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Parma},
   pages = {1-5},
   publisher = {CEUR.org},
   title = {bot.zen at LangLearn: regressing towards interpretability},
   url = {https://ceur-ws.org/Vol-3473/paper21.pdf},
   year = {2023}
}

TY  - JOUR
ID  - 2363577
AU  - Stemle, Egon - Tebaldini, Martina - Bonanni, Francesca - Pellegrino, Filippo - Brasolin, Paolo - Franzini, Greta H. - Frey, Jennifer-Carmen - Lopopolo, Olga - Spina, Stefania
PY  - 2023
TI  - bot.zen at LangLearn: regressing towards interpretability
PB  - CEUR.org
CY  - Parma
KW  - system description
KW  - langlearn
KW  - evalita
KW  - shared task
KW  - regression
KW  - MALT-IT2
KW  - bot.zen
UR  - https://ceur-ws.org/Vol-3473/paper21.pdf
N2  - This article describes the bot.zen system that participated in the Language Learning Development (LangLearn) shared task of the EVALITA 2023 campaign. We developed a simple machine learning system with good interpretability for later use, and used the shared task as an opportunity to provide Master’s students with hands-on training and practical experience in NLP.
ER  -

STEMLE, Egon, Martina TEBALDINI, Francesca BONANNI, Filippo PELLEGRINO, Paolo BRASOLIN, Greta H. FRANZINI, Jennifer-Carmen FREY, Olga LOPOPOLO a Stefania SPINA. bot.zen at LangLearn: regressing towards interpretability. Online. In M. Lai, S. Menini, M. Polignano,V. Russo, R. Sprugnoli, G. Venturi. \textit{Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian}. Parma: CEUR.org, 2023, s.~1-5. ISSN~1613-0073.

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