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UD_Portuguese-DANTEStocks

Treebank card from UD release 2.18: metadata and texts come from UD_Portuguese-DANTEStocks/README.md; size is counted by streaming the .conllu files and checked against the release stats.xml. Generated by tools/treebanks build; do not edit by hand. Papers: Papers: UD_Portuguese-DANTEStocks; seeds: seeds/; converter: convert.md.

FieldValue
UD nameUD_Portuguese-DANTEStocks
LanguagePortuguese (pt)
FamilyIE
Treebank codept_dantestocks
UD pageuniversaldependencies.org/treebanks/pt dantestocks/index.html
LicenseCC BY 4.0
Genressocial
Text in datayes
Parallelno
In UD sinceUD v2.15
AuthorsAriani Di Felippo; Norton Trevisan Roman; Thiago Alexandre Salgueiro Pardo; Bryan Khelven da Silva Barbosa; Maria das Graças Volpe Nunes
Contactariani@ufscar.br,norton@usp.br,bryankhelven@ieee.org
Developmentoutside the UD repo (elsewhere): fixes go to the source or the converter

Annotation layers

LayerOrigin
Lemmasmanual native
UPOSmanual native
XPOSnot available
Featuresmanual native
Relationsmanual native

UD scale: manual native — annotated by hand directly in UD; converted from manual — converted from manual annotation in another scheme; converted with corrections — converted and partly corrected by hand; automatic with corrections — automatic, with partial manual corrections; automatic — automatic; not available — the layer is absent.

Size

SplitSentencesTokensWordsMultiword tokensEmpty nodes
train3 04058 37060 9332 5630
dev5019 57410 0044300
test5019 63210 0614290
total4 04277 57680 9983 4220

Tokens are surface tokens (Spanish vámonos is one), words are syntactic words (vamos + nos); multiword tokens are those split into several words; empty nodes are the N.M nodes of the enhanced graph.

Summary

DANTEStocks (Di Felippo et al., 2024) is a collection of Brazilian Portuguese tweets on the stock market domain that is part of Porttinari (“PORTuguese Treebank”), which shall be a large multigenre treebank for Portuguese (Pardo et al., 2021), following the "Universal Dependencies" framework (de Marneffe et al., 2021).

Introduction

The corpus consists of 4,042 tweets and 80,997 tokens. To annotate the corpus according to UD, the entire tweet was taken as a basic unit of analysis, which means that the tweets were not segmented into smaller units as sentences, clauses or phrases. Besides, the tweets were not normalized, containing all phenomena typical to social media text in general and to Twitter in particular. Morphosyntactic (Silva et al., 2021; Di Felippo et al., 2023) and syntactic annotations (Di Felippo et al., 2024) were carried out through alternating steps of automatic processing and manual revision. For the interested reader, DANTEStocks, as well as other related information, may be accessed at Poetisa Project.

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/pt/dantestocks/