CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian

Chiara Barbero

doi:https://doi.org/10.1007/978-3-030-98305-5_35

CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian

Chiara Barbero

Centro de Linguística da UNL (CLUNL)

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

Abstract

The anchorage to real data is one of the main parameters that guarantees the quality and the coverage of lexical resources, especially in the context of specialized domains. Thus, lexicon extraction from corpora is a consensual method for building lexical resources. However, given that data validation by experts in specialized contexts is a necessary step, the automatic screening of data becomes fundamental to maximize the informational value of the interaction with experts. In this paper we present and discuss a hybrid methodology, combining linguistic and statistical approaches, focusing on the extraction of specialized lexical units and salient semantic information using CQL grammars. The proposed method involves several steps, from frequency information analyses, concordances and collocations extraction to manual revision and expert validation and encompasses the construction and application of knowledge-based patterns CQL grammars. We present two CQL grammars for lexical and semantic information extraction developed for Portuguese and Italian and evaluate results from its application to specialized corpora on Public Art domain, demonstrating the value of this method for lexicon and semantic information extraction from large data.

Original language	English
Title of host publication	Computational Processing of the Portuguese Language
Subtitle of host publication	15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings
Editors	Vládia Pinheiro, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Silva, Catarina Magro, Hugo Pinto
Place of Publication	Cham
Publisher	Springer
Pages	376-386
Number of pages	10
Volume	13208
Edition	1st
ISBN (Electronic)	978-3-030-98305-5
ISBN (Print)	978-3-030-98304-8
DOIs	https://doi.org/10.1007/978-3-030-98305-5_35
Publication status	Published - 2022
Event	15th International Conference on Computational Processing of Portuguese: PROPOR2022 - University of Fortaleza, Ceará, Fortaleza, Brazil Duration: 21 Mar 2022 → 23 Mar 2022 Conference number: 15 https://sites.universidadedefortaleza.com/propor2022/

Publication series

Name	Lecture Notes in Computer Science
Volume	13208
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Computational Processing of Portuguese
Abbreviated title	PROPOR2022
Country/Territory	Brazil
City	Fortaleza
Period	21/03/22 → 23/03/22
Internet address	https://sites.universidadedefortaleza.com/propor2022/

Access to Document

https://doi.org/10.1007/978-3-030-98305-5_35Licence: Unspecified

1 Oral presentation

CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian
Chiara Barbero (Speaker)
23 Mar 2022
Activity: Talk or presentation › Oral presentation

Cite this

Barbero, C. (2022). CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. In V. Pinheiro, P. Gamallo, R. Amaro, C. Scarton, F. Batista, D. Silva, C. Magro, & H. Pinto (Eds.), Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings (1st ed., Vol. 13208, pp. 376-386). (Lecture Notes in Computer Science; Vol. 13208). Springer. https://doi.org/10.1007/978-3-030-98305-5_35

Barbero, Chiara. / CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings. editor / Vládia Pinheiro ; Pablo Gamallo ; Raquel Amaro ; Carolina Scarton ; Fernando Batista ; Diego Silva ; Catarina Magro ; Hugo Pinto. Vol. 13208 1st. ed. Cham : Springer, 2022. pp. 376-386 (Lecture Notes in Computer Science).

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title = "CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian",

abstract = "The anchorage to real data is one of the main parameters that guarantees the quality and the coverage of lexical resources, especially in the context of specialized domains. Thus, lexicon extraction from corpora is a consensual method for building lexical resources. However, given that data validation by experts in specialized contexts is a necessary step, the automatic screening of data becomes fundamental to maximize the informational value of the interaction with experts. In this paper we present and discuss a hybrid methodology, combining linguistic and statistical approaches, focusing on the extraction of specialized lexical units and salient semantic information using CQL grammars. The proposed method involves several steps, from frequency information analyses, concordances and collocations extraction to manual revision and expert validation and encompasses the construction and application of knowledge-based patterns CQL grammars. We present two CQL grammars for lexical and semantic information extraction developed for Portuguese and Italian and evaluate results from its application to specialized corpora on Public Art domain, demonstrating the value of this method for lexicon and semantic information extraction from large data.",

author = "Chiara Barbero",

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Barbero, C 2022, CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. in V Pinheiro, P Gamallo, R Amaro, C Scarton, F Batista, D Silva, C Magro & H Pinto (eds), Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings. 1st edn, vol. 13208, Lecture Notes in Computer Science, vol. 13208, Springer, Cham, pp. 376-386, 15th International Conference on Computational Processing of Portuguese, Fortaleza, Brazil, 21/03/22. https://doi.org/10.1007/978-3-030-98305-5_35

CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. / Barbero, Chiara.
Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings. ed. / Vládia Pinheiro; Pablo Gamallo; Raquel Amaro; Carolina Scarton; Fernando Batista; Diego Silva; Catarina Magro; Hugo Pinto. Vol. 13208 1st. ed. Cham: Springer, 2022. p. 376-386 (Lecture Notes in Computer Science; Vol. 13208).

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

TY - GEN

T1 - CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian

AU - Barbero, Chiara

N1 - Conference code: 15

PY - 2022

Y1 - 2022

N2 - The anchorage to real data is one of the main parameters that guarantees the quality and the coverage of lexical resources, especially in the context of specialized domains. Thus, lexicon extraction from corpora is a consensual method for building lexical resources. However, given that data validation by experts in specialized contexts is a necessary step, the automatic screening of data becomes fundamental to maximize the informational value of the interaction with experts. In this paper we present and discuss a hybrid methodology, combining linguistic and statistical approaches, focusing on the extraction of specialized lexical units and salient semantic information using CQL grammars. The proposed method involves several steps, from frequency information analyses, concordances and collocations extraction to manual revision and expert validation and encompasses the construction and application of knowledge-based patterns CQL grammars. We present two CQL grammars for lexical and semantic information extraction developed for Portuguese and Italian and evaluate results from its application to specialized corpora on Public Art domain, demonstrating the value of this method for lexicon and semantic information extraction from large data.

AB - The anchorage to real data is one of the main parameters that guarantees the quality and the coverage of lexical resources, especially in the context of specialized domains. Thus, lexicon extraction from corpora is a consensual method for building lexical resources. However, given that data validation by experts in specialized contexts is a necessary step, the automatic screening of data becomes fundamental to maximize the informational value of the interaction with experts. In this paper we present and discuss a hybrid methodology, combining linguistic and statistical approaches, focusing on the extraction of specialized lexical units and salient semantic information using CQL grammars. The proposed method involves several steps, from frequency information analyses, concordances and collocations extraction to manual revision and expert validation and encompasses the construction and application of knowledge-based patterns CQL grammars. We present two CQL grammars for lexical and semantic information extraction developed for Portuguese and Italian and evaluate results from its application to specialized corpora on Public Art domain, demonstrating the value of this method for lexicon and semantic information extraction from large data.

U2 - https://doi.org/10.1007/978-3-030-98305-5_35

DO - https://doi.org/10.1007/978-3-030-98305-5_35

M3 - Conference contribution

SN - 978-3-030-98304-8

VL - 13208

T3 - Lecture Notes in Computer Science

SP - 376

EP - 386

BT - Computational Processing of the Portuguese Language

A2 - Pinheiro, Vládia

A2 - Gamallo, Pablo

A2 - Amaro, Raquel

A2 - Scarton, Carolina

A2 - Batista, Fernando

A2 - Silva, Diego

A2 - Magro, Catarina

A2 - Pinto, Hugo

PB - Springer

CY - Cham

T2 - 15th International Conference on Computational Processing of Portuguese

Y2 - 21 March 2022 through 23 March 2022

ER -

Barbero C. CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. In Pinheiro V, Gamallo P, Amaro R, Scarton C, Batista F, Silva D, Magro C, Pinto H, editors, Computational Processing of the Portuguese Language: 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21–23, 2022, Proceedings. 1st ed. Vol. 13208. Cham: Springer. 2022. p. 376-386. (Lecture Notes in Computer Science). doi: https://doi.org/10.1007/978-3-030-98305-5_35

CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian

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CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian

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