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.
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).
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.
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.
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?
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.
no code implementations • WS 2019 • Daniele Pizzolli, Carlo Strapparava
Interesting stories often are built around interesting characters.
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).
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.
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.
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.
no code implementations • WS 2017 • Ilia Markov, Lingzhen Chen, Carlo Strapparava, Grigori Sidorov
We present the CIC-FBK system, which took part in the Native Language Identification (NLI) Shared Task 2017.
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.
no code implementations • ACL 2017 • Lingzhen Chen, Carlo Strapparava, Vivi Nastase
We note that character n-grams from misspelled words are very indicative of the native language of the author.
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.
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.
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.
no code implementations • LREC 2016 • G{\"o}zde {\"O}zbal, Carlo Strapparava, Serra Sinem Tekiro{\u{g}}lu
Proverbs are commonly metaphoric in nature and the mapping across domains is commonly established in proverbs.
no code implementations • 22 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.
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.
no code implementations • LREC 2014 • Carlo Strapparava, Lorenzo Gatti, Marco Guerini, Oliviero Stock
In computation linguistics a combination of syntagmatic and paradigmatic features is often exploited.
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.
no code implementations • LREC 2014 • Sp Gella, ana, Carlo Strapparava, Vivi Nastase
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wikipedia categories.
no code implementations • LREC 2012 • G{\"o}zde {\"O}zbal, Carlo Strapparava, Marco Guerini
The name of a company or a brand is the key element to a successful business.
no code implementations • LREC 2012 • Carlo Strapparava, Rada Mihalcea, Alberto Battocchi
In this paper, we introduce a novel parallel corpus of music and lyrics, annotated with emotions at line level.
no code implementations • LREC 2012 • Aleks, Martin rov, Carlo Strapparava
This paper describes the implementation of a generalized query language on Google Ngram database.