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Listar por autor "Rosso, Paolo"

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#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection

Lai, Mirko; Patti, Viviana; Ruffo, Giancarlo; Rosso, Paolo (IOS Press, 2020)

[EN] Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isolation, while social studies highlight ...
A Comparison of Approaches for Measuring Cross-Lingual Similarity of Wikipedia Articles

Barrón Cedeño, Luis Alberto; Paramita, Monica Lestari; Clough, Paul; Rosso, Paolo (Springer Verlag (Germany), 2014)

Wikipedia has been used as a source of comparable texts for a range of tasks, such as Statistical Machine Translation and CrossLanguage Information Retrieval. Articles written in different languages on the same topic ...
A Cross-domain and Cross-language Knowledge-based Representation of Text and its Meaning

Franco Salvador, Marc (Universitat Politècnica de València, 2017-07-03)

Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human languages. One of its most challenging ...
A Decade of Shared Tasks in Digital Text Forensics at PAN

Potthast, Martin; Rosso, Paolo; Stamatatos, Efstathios; Stein, Benno (Springer-Verlag, 2019)

[EN] Digital text forensics aims at examining the originality and credibility of information in electronic documents and, in this regard, to extract and analyze information about the authors of these documents. The research ...
A Deep Source-Context Feature for Lexical Selection in Statistical Machine Translation

Gupta, Parth Alokkumar; Costa-Jussa, Marta R; Rosso, Paolo; Banchs, Rafael (Elsevier, 2016-05)

This paper presents a methodology to address lexical disambiguation in a standard phrase-based statistical machine translation system. Similarity among source contexts is used to select appropriate translation units. The ...
A hybrid approach for transliterated word-level language identification: CRF with post processing heuristics

Banerjee, Somnath; Kuila, Alapan; Roy, Aniruddha; Naskar, Sudip Kumar; Rosso, Paolo; Bandyopadhyay, Sivaji (ACM, 2014-12-05)

[EN] In this paper, we describe a hybrid approach for word-level language (WLL) identification of Bangla words written in Roman script and mixed with English words as part of our participation in the shared task on ...
A Knowledge-Based Weighted KNN for Detecting Irony in Twitter

Hernandez-Farias, Delia Irazu; Montes Gomez, Manuel; Escalante, Hugo; Rosso, Paolo; Patti, Viviana (Springer-Verlag, 2018)

[EN] In this work, we propose a variant of a well-known instancebased algorithm: WKNN. Our idea is to exploit task-dependent features in order to calculate the weight of the instances according to a novel paradigm: the ...
A Low Dimensionality Representation for Language Variety Identification

Rangel-Pardo, Francisco Manuel; Franco-Salvador, Marc; Rosso, Paolo (Springer-Verlag, 2018)

[EN] Language variety identification aims at labelling texts in a native language (e.g. Spanish, Portuguese, English) with its specific variation (e.g. Argentina, Chile, Mexico, Peru, Spain; Brazil, Portugal; UK, US). In ...
A multidimensional approach for detecting irony in Twitter

Reyes Pérez, Antonio; Rosso ., Paolo; Veale, Tony (Springer Netherlands, 2013-03)

Irony is a pervasive aspect of many online texts, one made all the more difficult by the absence of face-to-face contact and vocal intonation. As our media increasingly become more social, the problem of irony detection ...
A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter

Gopal Patra, Braja; Mazumda, Soumadeep; Das, Dipankar; Rosso, Paolo; Bandyopadhyay, Sivaji (Springer-Verlag, 2018)

[EN] Commendable amount of work has been attempted in the field of Sentiment Analysis or Opinion Mining from natural language texts and Twitter texts. One of the main goals in such tasks is to assign polarities (positive ...
A new corpus for the evaluation of arabic intrinsic plagiarism detection

Bensalem, Imene; Rosso, Paolo; Chikhi, Salim (Springer Verlag (Germany), 2013)

The present paper introduces the first corpus for the evaluation of Arabic intrinsic plagiarism detection. The corpus consists of 1024 artificial suspicious documents in which 2833 plagiarism cases have been inserted ...
A New Weighted k-Nearest Neighbor Algorithm Based on Newton¿s Gravitational Force

Aguilera, Juan; González, Luis C.; Montes-y-Gómez, Manuel; Rosso, Paolo (Springer-Verlag, 2019)

[EN] The kNN algorithm has three main advantages that make it appealing to the community: it is easy to understand, it regularly offers competitive performance and its structure can be easily tuning to adapting to the ...
A Particle Swarm Optimizer to Cluster Parallel Spanish-English Short-text Corpora

Ingaramo, Diego Alejandro; Errecalde, Marcelo Luis; Cagnina, Leticia; Rosso, Paolo (CEUR Workshop Proceedings, 2011)

Short-texts clustering is currently an important research area because of its applicability to web information retrieval, text summarization and text mining. These texts are often available in different languages and ...
A resource-light method for cross-lingual semantic textual similarity

Glavas, Goran; Franco-Salvador, Marc; Ponzetto, Simone Paolo; Rosso, Paolo (Elsevier, 2018-03-01)

[EN] Recognizing semantically similar sentences or paragraphs across languages is beneficial for many tasks, ranging from cross-lingual information retrieval and plagiarism detection to machine translation. Recently proposed ...
A Self-Enriching Methodology for Clustering Narrow Domain Short Texts

Pinto, David; Rosso, Paolo; Jiménez-Salazar, Héctor (Oxford University Press (OUP): Policy A - Oxford Open Option A, 2011)

Clustering narrow domain short texts is considered to be a complex task because of the intrinsic features of the corpus to be clustered: (i) the low frequencies of vocabulary terms in short texts, and (ii) the high vocabulary ...
A survey on author profiling, deception, and irony detection for the Arabic language

Rosso, Paolo; Rangel-Pardo, Francisco Manuel; Hernandez-Farias, Delia Irazu; Cagnina, Leticia; Zaghouani, Wajdi; Charfi, Anis (Wiley, 2018-04)

[EN] The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user ...
A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection

Franco-Salvador, Marc; Rosso, Paolo; Montes Gomez, Manuel (Elsevier, 2016-07)

Cross-language plagiarism detection aims to detect plagiarised fragments of text among documents in different languages. In this paper, we perform a systematic examination of Cross-language Knowledge Graph Analysis; an ...
A Twitter Political Corpus of the 2019 10N Spanish Election

Sánchez-Junquera, Javier; Ponzetto, Simone Paolo; Rosso, Paolo (Springer, 2020-09-11)

[EN] We present a corpus of Spanish tweets of 15 Twitter accounts of politicians of the main five parties (PSOE, PP, Cs, UP and VOX) covering the campaign of the Spanish election of 10th November 2019 (10N Spanish Election). ...
Advances in Social Circles

Alonso Nanclares, Jesús Alberto (Universitat Politècnica de València, 2016-03-08)

[EN] Social circles arised out of a need to organize the contacts in personal networks, within the current social networking services. The automatic detection of these social circles still remains an understudied problem, ...
Affect and Interaction in Agent-Based Systems and Social Media: Guest Editors Introduction

Clavel, Chloe; Damiano, Rossana; Patti, Viviana; Rosso ., Paolo (Association for Computing Machinery, 2017)

[EN] Today¿s Internet is evolving toward an open society of humans and computational entities, where intelligent agent systems increasingly support the interaction between users and computational components. In this scenario, ...