How Universal is Genre in Universal Dependencies?

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

This work provides the first in-depth analysis of genre in Universal Dependencies (UD). In contrast to prior work on genre identification which uses small sets of well-defined labels in mono-/bilingual setups, UD contains 18 genres with varying degrees of specificity spread across 114 languages. As most treebanks are labeled with multiple genres while lacking annotations about which instances belong to which genre, we propose four methods for predicting instance-level genre using weak supervision from treebank metadata. The proposed methods recover instance-level genre better than competitive baselines as measured on a subset of UD with labeled instances and adhere better to the global expected distribution. Our analysis sheds light on prior work using UD genre metadata for treebank selection, finding that metadata alone are a noisy signal and must be disentangled within treebanks before it can be universally applied.
Original languageEnglish
Title of host publicationProceedings of the 20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021)
Place of PublicationSofia, Bulgaria
PublisherAssociation for Computational Linguistics
Publication dateDec 2021
Pages69-85
Publication statusPublished - Dec 2021
Event20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021) - Sofia, Bulgaria
Duration: 21 Mar 202225 Mar 2022
Conference number: 20

Workshop

Workshop20th International Workshop on Treebanks and Linguistic Theories (TLT, SyntaxFest 2021)
Number20
Country/TerritoryBulgaria
CitySofia
Period21/03/202225/03/2022

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