A study on methods for revising dependency treebanks: in search of gold

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A9WTI89I9" target="_blank" >RIV/00216208:11320/23:9WTI89I9 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158093448&doi=10.1007%2fs10579-023-09653-4&partnerID=40&md5=11cbf445405b01c78ba984e36cac4797" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158093448&doi=10.1007%2fs10579-023-09653-4&partnerID=40&md5=11cbf445405b01c78ba984e36cac4797</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10579-023-09653-4" target="_blank" >10.1007/s10579-023-09653-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A study on methods for revising dependency treebanks: in search of gold

Popis výsledku v původním jazyce

"Reliably annotated corpora with reliable annotation are a valuable resource for Natural Language Processing, which justifies the search for methods capable of assisting linguistic revision. In this context, we present a study on methods for revising dependency treebanks, investigating the contribution of three different strategies to the corpus review: (i) linguistic rules; (ii) an adaptation of the n-grams method proposed by Boyd et al. (2008) applied to Portuguese; and (iii) Inter-Annotator Disagreement, a linguistically motivated approach that draws inspiration from the human annotation process. The results are promising, and taken together the three methods can lead to the revision of up to 58% of the errors in a specific corpus at the cost of revising only 20% of the corpus. We also present a tool that integrates treebank editing, evaluation and search capabilities with the review methods, as well as a gold-standard Portuguese corpus from the oil and gas domain. © 2023, The Author(s), under exclusive licence to Springer Nature B.V."

Název v anglickém jazyce

A study on methods for revising dependency treebanks: in search of gold

Popis výsledku anglicky

"Reliably annotated corpora with reliable annotation are a valuable resource for Natural Language Processing, which justifies the search for methods capable of assisting linguistic revision. In this context, we present a study on methods for revising dependency treebanks, investigating the contribution of three different strategies to the corpus review: (i) linguistic rules; (ii) an adaptation of the n-grams method proposed by Boyd et al. (2008) applied to Portuguese; and (iii) Inter-Annotator Disagreement, a linguistically motivated approach that draws inspiration from the human annotation process. The results are promising, and taken together the three methods can lead to the revision of up to 58% of the errors in a specific corpus at the cost of revising only 20% of the corpus. We also present a tool that integrates treebank editing, evaluation and search capabilities with the review methods, as well as a gold-standard Portuguese corpus from the oil and gas domain. © 2023, The Author(s), under exclusive licence to Springer Nature B.V."

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

"Language Resources and Evaluation"

ISSN

1574-020X

e-ISSN

—

Svazek periodika

""

Číslo periodika v rámci svazku

2023

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

21

Strana od-do

1-21

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85158093448