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Found 25 papers, 2 papers with code
Italian NLP for Everyone: Resources and Models from EVALITA to the European Language Grid
The European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models, such as corpora and classifiers.
Do Dependency Relations Help in the Task of Stance Detection?
Furthermore, we study the phenomenon of stance with respect to six different targets – one per language, and two different for Italian – employing a variety of machine learning algorithms that primarily exploit morphological and syntactic knowledge as features, represented throughout the format of Universal Dependencies.
Multilingual Irony Detection with Dependency Syntax and Neural Models
This paper presents an in-depth investigation of the effectiveness of dependency-based syntactic features on the irony detection task in a multilingual perspective (English, Spanish, French and Italian).
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
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.
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies
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.
Marking Irony Activators in a Universal Dependencies Treebank: The Case of an Italian Twitter Corpus
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.
UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post's Nesting and Syntax Information for Rumor Stance Classification
In the present paper we describe the UPV-28-UNITO system{'}s submission to the RumorEval 2019 shared task.
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter.
Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study
This paper provides a linguistic and pragmatic analysis of the phenomenon of irony in order to represent how Twitter{'}s users exploit irony devices within their communication strategies for generating textual contents.
Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous
The annotation process is presented and the disagreement discussed, in particular, in the perspective of figurative language use and in that of the semantic oriented annotation, which are open challenges for NLP systems.
Annotating Sentiment and Irony in the Online Italian Political Debate on \#labuonascuola
In this paper we present the TWitterBuonaScuola corpus (TW-BS), a novel Italian linguistic resource for Sentiment Analysis, developed with the main aim of analyzing the online debate on the controversial Italian political reform {``}Buona Scuola{''} (Good school), aimed at reorganizing the national educational and training systems.
Less is More? Towards a Reduced Inventory of Categories for Training a Parser for the Italian Stanford Dependencies
This is done by comparing the performance of a statistical parser (DeSR) trained on a simpler resource (the augmented version of the Merged Italian Dependency Treebank or MIDT+) and whose output was automatically converted to SD, with the results of the parser directly trained on ISDT.
Exploiting catenae in a parallel treebank alignment
This paper aims to introduce the issues related to the syntactic alignment of a dependency-based multilingual parallel treebank, ParTUT.
A treebank-based study on the influence of Italian word order on parsing performance
The aim of this paper is to contribute to the debate on the issues raised by Morphologically Rich Languages, and more precisely to investigate, in a cross-paradigm perspective, the influence of the constituent order on the data-driven parsing of one of such languages(i. e. Italian).
The Parallel-TUT: a multilingual and multiformat treebank
The paper introduces an ongoing project for the development of a parallel treebank for Italian, English and French, i. e.
