Search Results for author: Carlo Strapparava

Found 46 papers, 1 papers with code

Making People Laugh like a Pro: Analysing Humor Through Stand-Up Comedy

no code implementations LREC 2022 Beatrice Turano, Carlo Strapparava

The analysis of humor using computational tools has gained popularity in the past few years, and a lot of resources have been built for this purpose.

CorEDs: A Corpus on Eating Disorders

no code implementations RaPID (LREC) 2022 Melissa Donati, Carlo Strapparava

The high-level accuracy of both classifiers indicates that ED-related texts are separable from texts on similar topics that do not address EDs.

Nutrition

NewYeS: A Corpus of New Year’s Speeches with a Comparative Analysis

no code implementations PoliticalNLP (LREC) 2022 Anna Tramarin, Carlo Strapparava

This paper introduces the NewYeS corpus, which contains the Christmas messages and New Year’s speeches held at the end of the year by the heads of state of different European countries (namely Denmark, France, Italy, Norway, Spain and the United Kingdom).

Sentiment Analysis

DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text

no code implementations LREC 2020 Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori

For filling this gap, in this paper we introduce DecOp (Deceptive Opinions), a new language resource developed for automatic deception detection in cross-domain and cross-language scenarios.

Deception Detection

VROAV: Using Iconicity to Visually Represent Abstract Verbs

no code implementations LREC 2020 Simone Scicluna, Carlo Strapparava

For a long time, philosophers, linguists and scientists have been keen on finding an answer to the mind-bending question {``}what does abstract language look like?

EmoEvent: A Multilingual Emotion Corpus based on different Events

no code implementations LREC 2020 Flor Miriam Plaza del Arco, Carlo Strapparava, L. Alfonso Urena Lopez, Maite Martin

We report some linguistic statistics about the data set in order to observe the difference between English and Spanish speakers when they express emotions related to the same events.

Marketing Opinion Mining

Anglicized Words and Misspelled Cognates in Native Language Identification

no code implementations WS 2019 Ilia Markov, Vivi Nastase, Carlo Strapparava

In this paper, we present experiments that estimate the impact of specific lexical choices of people writing in a second language (L2).

Native Language Identification

A Computational Exploration of Exaggeration

no code implementations EMNLP 2018 Enrica Troiano, Carlo Strapparava, G{\"o}zde {\"O}zbal, Serra Sinem Tekiro{\u{g}}lu

Several NLP studies address the problem of figurative language, but among non-literal phenomena, they have neglected exaggeration.

The Role of Emotions in Native Language Identification

no code implementations WS 2018 Ilia Markov, Vivi Nastase, Carlo Strapparava, Grigori Sidorov

We explore the hypothesis that emotion is one of the dimensions of language that surfaces from the native language into a second language.

Deception Detection Native Language Identification +1

Punctuation as Native Language Interference

no code implementations COLING 2018 Ilia Markov, Vivi Nastase, Carlo Strapparava

In this paper, we describe experiments designed to explore and evaluate the impact of punctuation marks on the task of native language identification.

Classification Cross-corpus +3

Word Etymology as Native Language Interference

no code implementations EMNLP 2017 Vivi Nastase, Carlo Strapparava

We present experiments that show the influence of native language on lexical choice when producing text in another language {--} in this particular case English.

To Sing like a Mockingbird

no code implementations EACL 2017 Lorenzo Gatti, G{\"o}zde {\"O}zbal, Oliviero Stock, Carlo Strapparava

Musical parody, i. e. the act of changing the lyrics of an existing and very well-known song, is a commonly used technique for creating catchy advertising tunes and for mocking people or events.

A Computational Analysis of the Language of Drug Addiction

no code implementations EACL 2017 Carlo Strapparava, Rada Mihalcea

We present a computational analysis of the language of drug users when talking about their drug experiences.

Innovative Semi-Automatic Methodology to Annotate Emotional Corpora

no code implementations WS 2016 Lea Canales, Carlo Strapparava, Ester Boldrini, Patricio Mart{\'\i}nez-Barco

Detecting depression or personality traits, tutoring and student behaviour systems, or identifying cases of cyber-bulling are a few of the wide range of the applications, in which the automatic detection of emotion is a crucial element.

Why Do Urban Legends Go Viral?

no code implementations22 Jan 2016 Marco Guerini, Carlo Strapparava

In particular we will focus on the idea that urban legends should mimic the details of news (who, where, when) to be credible, while they should be emotional and readable like a fairy tale to be catchy and memorable.

Echoes of Persuasion: The Effect of Euphony in Persuasive Communication

1 code implementation HLT 2015 Marco Guerini, Gözde Özbal, Carlo Strapparava

While the effect of various lexical, syntactic, semantic and stylistic features have been addressed in persuasive language from a computational point of view, the persuasive effect of phonetics has received little attention.

Persuasiveness

Enriching the ``Senso Comune'' Platform with Automatically Acquired Data

no code implementations LREC 2014 Tommaso Caselli, Laure Vieu, Carlo Strapparava, Guido Vetere

This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform.

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