Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri’s Comedy

Claudia Corbetta; Marco Carlo Passarotti; Flavio Massimiliano Cecchini; Giovanni Moretti

Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri’s Comedy

Claudia Corbetta
, Marco Carlo Passarotti
, Flavio Massimiliano Cecchini
, Giovanni Moretti

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we describe the creation in Universal Dependencies of a treebank for Dante’s Comedy, the first syntactically annotated text for Old Italian following a dependency-based schema. We detail the phase of treebanking the first part of the Comedy, the Inferno, and we describe some annotation issues. Then, we perform an evaluation of automated dependency parsing with models trained on the currently available annotated portion of the text.

Original language	English
Title of host publication	Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy
Pages	1-8
Number of pages	8
Publication status	Published - 2023
Event	CLiC-it 2023: 9th Italian Conference on Computational Linguistics - VENEZIA -- ITA Duration: 30 Nov 2023 → 1 Dec 2023

Conference

Conference	CLiC-it 2023: 9th Italian Conference on Computational Linguistics
City	VENEZIA -- ITA
Period	30/11/23 → 1/12/23

Keywords

Natural Language Processing
Dante Alighieri
Treebank

Cite this

@inproceedings{ca9d2bec85f44e7fa3d31898aeec05b2,

title = "Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri{\textquoteright}s Comedy",

abstract = "In this paper, we describe the creation in Universal Dependencies of a treebank for Dante{\textquoteright}s Comedy, the first syntactically annotated text for Old Italian following a dependency-based schema. We detail the phase of treebanking the first part of the Comedy, the Inferno, and we describe some annotation issues. Then, we perform an evaluation of automated dependency parsing with models trained on the currently available annotated portion of the text.",

keywords = "Natural Language Processing, Dante Alighieri, Treebank, Natural Language Processing, Dante Alighieri, Treebank",

author = "Claudia Corbetta and Passarotti, \{Marco Carlo\} and Cecchini, \{Flavio Massimiliano\} and Giovanni Moretti",

year = "2023",

language = "English",

isbn = "NA",

pages = "1--8",

booktitle = "Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy",

note = "CLiC-it 2023: 9th Italian Conference on Computational Linguistics ; Conference date: 30-11-2023 Through 01-12-2023",

}

Corbetta, C, Passarotti, MC, Cecchini, FM & Moretti, G 2023, Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri’s Comedy. in Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy. pp. 1-8, CLiC-it 2023: 9th Italian Conference on Computational Linguistics, VENEZIA -- ITA, 30/11/23.

Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri’s Comedy. / Corbetta, Claudia; Passarotti, Marco Carlo; Cecchini, Flavio Massimiliano et al.
Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy. 2023. p. 1-8.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri’s Comedy

AU - Corbetta, Claudia

AU - Passarotti, Marco Carlo

AU - Cecchini, Flavio Massimiliano

AU - Moretti, Giovanni

PY - 2023

Y1 - 2023

N2 - In this paper, we describe the creation in Universal Dependencies of a treebank for Dante’s Comedy, the first syntactically annotated text for Old Italian following a dependency-based schema. We detail the phase of treebanking the first part of the Comedy, the Inferno, and we describe some annotation issues. Then, we perform an evaluation of automated dependency parsing with models trained on the currently available annotated portion of the text.

AB - In this paper, we describe the creation in Universal Dependencies of a treebank for Dante’s Comedy, the first syntactically annotated text for Old Italian following a dependency-based schema. We detail the phase of treebanking the first part of the Comedy, the Inferno, and we describe some annotation issues. Then, we perform an evaluation of automated dependency parsing with models trained on the currently available annotated portion of the text.

KW - Natural Language Processing

KW - Dante Alighieri

KW - Treebank

KW - Natural Language Processing

KW - Dante Alighieri

KW - Treebank

UR - http://hdl.handle.net/10807/258358

UR - https://clic2023.ilc.cnr.it/wp-content/uploads/2023/11/paper19.pdf

M3 - Conference contribution

SN - NA

SP - 1

EP - 8

BT - Proceedings of CLiC-it 2023: 9th Italian Conference on Computational Linguistics, Nov 30 — Dec 02, 2023, Venice, Italy

T2 - CLiC-it 2023: 9th Italian Conference on Computational Linguistics

Y2 - 30 November 2023 through 1 December 2023

ER -

Highway to Hell. Towards a Universal Dependencies Treebank for Dante Alighieri’s Comedy

Abstract

Conference

Keywords

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