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Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations

Manuela Sanguinetti, Cristina Bosco, Lauren C. Cassidy, Özlem Çetinoğlu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes

2022Language Resources and Evaluation22 citationsDOIOpen Access PDF

Abstract

Abstract This article presents a discussion on the main linguistic phenomena which cause difficulties in the analysis of user-generated texts found on the web and in social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework of syntactic analysis. Given on the one hand the increasing number of treebanks featuring user-generated content, and its somewhat inconsistent treatment in these resources on the other, the aim of this article is twofold: (1) to provide a condensed, though comprehensive, overview of such treebanks—based on available literature—along with their main features and a comparative analysis of their annotation criteria, and (2) to propose a set of tentative UD-based annotation guidelines, to promote consistent treatment of the particular phenomena found in these types of texts. The overarching goal of this article is to provide a common framework for researchers interested in developing similar resources in UD, thus promoting cross-linguistic consistency, which is a principle that has always been central to the spirit of UD.

Topics & Concepts

AnnotationConsistency (knowledge bases)Computer scienceSet (abstract data type)Content analysisInformation retrievalSocial mediaNatural language processingWorld Wide WebArtificial intelligenceSociologySocial scienceProgramming languageNatural Language Processing TechniquesTopic ModelingText Readability and Simplification
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