CORPORART_GRAMM_PT_1.0: CORPORART Semantic Word Sketch Grammar for European Portuguese - Nouns, verbs and adjectives CQL expressions for semantic relations extraction

Chiara Barbero; Raquel  Amaro

doi:https://doi.org/10.34619/j2xi-fxfo

CORPORART_GRAMM_PT_1.0: CORPORART Semantic Word Sketch Grammar for European Portuguese - Nouns, verbs and adjectives CQL expressions for semantic relations extraction

Research output: Non-textual form › Data set/Database

Abstract

The CORPORART_GRAMM_PT_1.0 is a Semantic Word Sketch Grammar for European Portuguese, codified using the Corpus Query Language for Sketch Engine.
The CORPORART_GRAMM_PT_1.0 is composed of 42 lexical-syntactic patterns, for semantic related items extraction, encompassing many semantic relations, such as hyponymy/hyperonymy, troponymy, holonymy/meronymy but also relations for event description (i.e. agent/result, instrument, location etc.) and adjective description (i.e. characterization).

Original language	Portuguese
Publisher	NOVA FCSH - CLUNL
Media of output	Online
DOIs	https://doi.org/10.34619/j2xi-fxfo
Publication status	Published - 2024

Access to Document

https://doi.org/10.34619/j2xi-fxfoLicence: Unspecified

https://clunl.fcsh.unl.pt/recursos-em-linha/outros/corporart_gramm_pt_1-0/Licence: Unspecified

Cite this

@misc{d2348899f81b4e399977c7d5c93fed66,

title = "CORPORART_GRAMM_PT_1.0: CORPORART Semantic Word Sketch Grammar for European Portuguese - Nouns, verbs and adjectives CQL expressions for semantic relations extraction",

abstract = "The CORPORART_GRAMM_PT_1.0 is a Semantic Word Sketch Grammar for European Portuguese, codified using the Corpus Query Language for Sketch Engine. The CORPORART_GRAMM_PT_1.0 is composed of 42 lexical-syntactic patterns, for semantic related items extraction, encompassing many semantic relations, such as hyponymy/hyperonymy, troponymy, holonymy/meronymy but also relations for event description (i.e. agent/result, instrument, location etc.) and adjective description (i.e. characterization).",

author = "Chiara Barbero and Raquel Amaro",

note = "info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F03213%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F03213%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FLIN%2F03213%2F2019/PT# info:eu-repo/grantAgreement/FCT/OE/PD%2FBD%2F128131%2F2016/PT# UIDB/03213/2020 UIDP/03213/2020 UID/LIN/03213/2019 PD/BD/128131/2016",

year = "2024",

doi = "https://doi.org/10.34619/j2xi-fxfo",

language = "Portuguese",

publisher = "NOVA FCSH - CLUNL",

}

TY - ADVS

T1 - CORPORART_GRAMM_PT_1.0

T2 - CORPORART Semantic Word Sketch Grammar for European Portuguese - Nouns, verbs and adjectives CQL expressions for semantic relations extraction

AU - Barbero, Chiara

AU - Amaro, Raquel

N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F03213%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F03213%2F2020/PT# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FLIN%2F03213%2F2019/PT# info:eu-repo/grantAgreement/FCT/OE/PD%2FBD%2F128131%2F2016/PT# UIDB/03213/2020 UIDP/03213/2020 UID/LIN/03213/2019 PD/BD/128131/2016

PY - 2024

Y1 - 2024

N2 - The CORPORART_GRAMM_PT_1.0 is a Semantic Word Sketch Grammar for European Portuguese, codified using the Corpus Query Language for Sketch Engine. The CORPORART_GRAMM_PT_1.0 is composed of 42 lexical-syntactic patterns, for semantic related items extraction, encompassing many semantic relations, such as hyponymy/hyperonymy, troponymy, holonymy/meronymy but also relations for event description (i.e. agent/result, instrument, location etc.) and adjective description (i.e. characterization).

AB - The CORPORART_GRAMM_PT_1.0 is a Semantic Word Sketch Grammar for European Portuguese, codified using the Corpus Query Language for Sketch Engine. The CORPORART_GRAMM_PT_1.0 is composed of 42 lexical-syntactic patterns, for semantic related items extraction, encompassing many semantic relations, such as hyponymy/hyperonymy, troponymy, holonymy/meronymy but also relations for event description (i.e. agent/result, instrument, location etc.) and adjective description (i.e. characterization).

U2 - https://doi.org/10.34619/j2xi-fxfo

DO - https://doi.org/10.34619/j2xi-fxfo

M3 - Data set/Database

PB - NOVA FCSH - CLUNL

ER -