@inproceedings{bick-2023-attribution,
title = "Attribution of Quoted Speech in {P}ortuguese Text",
author = "Bick, Eckhard",
editor = {Bick, Eckhard and
Trosterud, Trond and
Alum{\"a}e, Tanel},
booktitle = "Proceedings of the NoDaLiDa 2023 Workshop on Constraint Grammar - Methods, Tools and Applications",
month = may,
year = "2023",
address = "T{\'o}rshavn, Faroe Islands",
publisher = "Association of Computational Linguistics",
url = "https://aclanthology.org/2023.nodalida-cgmta.1",
pages = "1--9",
abstract = "This paper describes and evaluates a rule-based system implementing a novel method for quote attribution in Portuguese text, working on top of a Constraint-Grammar parse. Both direct and indirect speech are covered, as well as certain other text- embedded quote sources. In a first step, the system performs quote segmentation and identifies speech verbs, taking into account the different styles used in literature and news text. Speakers are then identified using syntactically and semantically grounded Constraint-Grammar rules. We rely on relational links and stream variables to handle anaphorical mentions and to recover the names of implied or underspecified speakers. In an evaluation including both literature and news text, the system performed well on both the segmentation and attribution tasks, achieving F-scores of 98-99{\%} for the former and 89-94{\%} for the latter.",
}
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<abstract>This paper describes and evaluates a rule-based system implementing a novel method for quote attribution in Portuguese text, working on top of a Constraint-Grammar parse. Both direct and indirect speech are covered, as well as certain other text- embedded quote sources. In a first step, the system performs quote segmentation and identifies speech verbs, taking into account the different styles used in literature and news text. Speakers are then identified using syntactically and semantically grounded Constraint-Grammar rules. We rely on relational links and stream variables to handle anaphorical mentions and to recover the names of implied or underspecified speakers. In an evaluation including both literature and news text, the system performed well on both the segmentation and attribution tasks, achieving F-scores of 98-99% for the former and 89-94% for the latter.</abstract>
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%0 Conference Proceedings
%T Attribution of Quoted Speech in Portuguese Text
%A Bick, Eckhard
%Y Bick, Eckhard
%Y Trosterud, Trond
%Y Alumäe, Tanel
%S Proceedings of the NoDaLiDa 2023 Workshop on Constraint Grammar - Methods, Tools and Applications
%D 2023
%8 May
%I Association of Computational Linguistics
%C Tórshavn, Faroe Islands
%F bick-2023-attribution
%X This paper describes and evaluates a rule-based system implementing a novel method for quote attribution in Portuguese text, working on top of a Constraint-Grammar parse. Both direct and indirect speech are covered, as well as certain other text- embedded quote sources. In a first step, the system performs quote segmentation and identifies speech verbs, taking into account the different styles used in literature and news text. Speakers are then identified using syntactically and semantically grounded Constraint-Grammar rules. We rely on relational links and stream variables to handle anaphorical mentions and to recover the names of implied or underspecified speakers. In an evaluation including both literature and news text, the system performed well on both the segmentation and attribution tasks, achieving F-scores of 98-99% for the former and 89-94% for the latter.
%U https://aclanthology.org/2023.nodalida-cgmta.1
%P 1-9
Markdown (Informal)
[Attribution of Quoted Speech in Portuguese Text](https://aclanthology.org/2023.nodalida-cgmta.1) (Bick, 2023)
ACL
- Eckhard Bick. 2023. Attribution of Quoted Speech in Portuguese Text. In Proceedings of the NoDaLiDa 2023 Workshop on Constraint Grammar - Methods, Tools and Applications, pages 1–9, Tórshavn, Faroe Islands. Association of Computational Linguistics.