Marking Irony Activators in a Universal Dependencies Treebank: The Case of an Italian Twitter Corpus

no code implementations • LREC 2020 • Aless Cignarella, ra Teresa, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso

In this paper we describe a fine-grained annotation scheme centered on irony, in which we highlight the tokens that are responsible for its activation, (irony activators) and their morpho-syntactic features.

Sentiment Analysis

Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies

no code implementations • LREC 2020 • Manuela Sanguinetti, Cristina Bosco, Lauren Cassidy, {\"O}zlem {\c{C}}etino{\u{g}}lu, Aless Cignarella, ra Teresa, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djam{\'e} Seddah, Amir Zeldes

The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework.

Presenting TWITTIR\`O-UD: An Italian Twitter Treebank in Universal Dependencies

no code implementations • WS 2019 • Aless Cignarella, ra Teresa, Cristina Bosco, Paolo Rosso

UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification

no code implementations • SEMEVAL 2019 • Bilal Ghanem, Aless Cignarella, ra Teresa, Cristina Bosco, Paolo Rosso, Francisco Manuel Rangel Pardo

In the present paper we describe the UPV-28-UNITO system{'}s submission to the RumorEval 2019 shared task.

BIG-bench Machine Learning General Classification +2

Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIR\`O

no code implementations • LREC 2018 • Aless Cignarella, ra Teresa, Cristina Bosco, Viviana Patti, Mirko Lai

Sentiment Analysis