Building CorefLat. a Linguistic Resource for Coreference and Anaphora Resolution in Latin

Eleonora Delfino; Roberta Grazia Leotta; Marco Carlo Passarotti; Giovanni Moretti

Building CorefLat. a Linguistic Resource for Coreference and Anaphora Resolution in Latin

Eleonora Delfino^*, Roberta Grazia Leotta, Marco Carlo Passarotti, Giovanni Moretti

^*Autore corrispondente per questo lavoro

University of Udine

Risultato della ricerca: Contributo in libro › Contributo a conferenza

Abstract

This paper presents the initial stages of a project focused on coreference and anaphora resolution in Latin texts. By building a corpus enhanced with coreference/anaphora annotation, the project wants to explore empirically a layer of metalinguistic analysis that has not been yet extensively investigated in linguistic resources and natural language processing for Latin. After reviewing the related work on this NLP task, the paper discusses annotation criteria and data analysis, providing examples about a few issues that emerged during the annotation process.

Lingua originale	Inglese
Titolo della pubblicazione ospite	Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
Editore	CEUR Workshop Proceedings
Pagine	273-279
Numero di pagine	7
ISBN (stampa)	979-12-210-7060-6
Stato di pubblicazione	Pubblicato - 2024

All Science Journal Classification (ASJC) codes

Informatica Generale

Keywords

Coreference Resolution
Latin
Linguistic Linked Data

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title = "Building CorefLat. a Linguistic Resource for Coreference and Anaphora Resolution in Latin",

abstract = "This paper presents the initial stages of a project focused on coreference and anaphora resolution in Latin texts. By building a corpus enhanced with coreference/anaphora annotation, the project wants to explore empirically a layer of metalinguistic analysis that has not been yet extensively investigated in linguistic resources and natural language processing for Latin. After reviewing the related work on this NLP task, the paper discusses annotation criteria and data analysis, providing examples about a few issues that emerged during the annotation process.",

keywords = "Coreference Resolution, Latin, Linguistic Linked Data, Coreference Resolution, Latin, Linguistic Linked Data",

author = "Eleonora Delfino and Leotta, {Roberta Grazia} and Passarotti, {Marco Carlo} and Giovanni Moretti",

year = "2024",

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isbn = "979-12-210-7060-6",

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booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",

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Building CorefLat. a Linguistic Resource for Coreference and Anaphora Resolution in Latin. / Delfino, Eleonora; Leotta, Roberta Grazia ; Passarotti, Marco Carlo et al.
Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024). CEUR Workshop Proceedings, 2024. pag. 273-279.

Risultato della ricerca: Contributo in libro › Contributo a conferenza

TY - GEN

T1 - Building CorefLat. a Linguistic Resource for Coreference and Anaphora Resolution in Latin

AU - Delfino, Eleonora

AU - Leotta, Roberta Grazia

AU - Passarotti, Marco Carlo

AU - Moretti, Giovanni

PY - 2024

Y1 - 2024

N2 - This paper presents the initial stages of a project focused on coreference and anaphora resolution in Latin texts. By building a corpus enhanced with coreference/anaphora annotation, the project wants to explore empirically a layer of metalinguistic analysis that has not been yet extensively investigated in linguistic resources and natural language processing for Latin. After reviewing the related work on this NLP task, the paper discusses annotation criteria and data analysis, providing examples about a few issues that emerged during the annotation process.

AB - This paper presents the initial stages of a project focused on coreference and anaphora resolution in Latin texts. By building a corpus enhanced with coreference/anaphora annotation, the project wants to explore empirically a layer of metalinguistic analysis that has not been yet extensively investigated in linguistic resources and natural language processing for Latin. After reviewing the related work on this NLP task, the paper discusses annotation criteria and data analysis, providing examples about a few issues that emerged during the annotation process.

KW - Coreference Resolution

KW - Latin

KW - Linguistic Linked Data

KW - Coreference Resolution

KW - Latin

KW - Linguistic Linked Data

UR - https://publicatt.unicatt.it/handle/10807/308719

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M3 - Conference contribution

SN - 979-12-210-7060-6

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EP - 279

BT - Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)

PB - CEUR Workshop Proceedings

ER -

Building CorefLat. a Linguistic Resource for Coreference and Anaphora Resolution in Latin

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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