Escortell Pérez, María Amparo(Universitat Politècnica de València, 2017-09-01)
[EN]
During the recent years we have seen how the rise of Web 2.0 and social media have
caused users to take more and more prominence on the Internet, being a source of
information generation that increases day by day. ...
[EN] Social and expressive media represent a challenge and a push forward for research on emotion and sentiment analysis. The
advent of social media has brought about new paradigms of interaction that foster first-person ...
Alonso, Jesús; Paredes Palacios, Roberto; Rosso, Paolo(Springer International Publishing, 2015-06-09)
Social circles detection is a special case of community detection in social network that is currently attracting a growing interest in the research community. We propose in this paper an empirical evaluation of the ...
Vallés Balaguer, Enrique(Universitat Politècnica de València, 2011-12-19)
En la era de los medios digitales, las empresas deben afrontar nuevos retos. En este trabajo nos
ponemos en la piel de una empresa para estudiar cómo afrontar algunos de estos retos como son la
protección contra el plagio ...
ROBLES, VLADIMIR(Universitat Politècnica de València, 2012-01-19)
En este trabajo se ha estudiado la posibilidad de aplicar esquemas de
votación Borda y Fuzzy-Borda para combinar sistemas de etiquetado
de roles semánticos. Para seleccionar los roles semánticos propuestos
por los ...
[EN] In this paper, we suggest a list of high-level features and study their applicability in detection of cyberpedophiles. We used a corpus of chats downloaded from http://www.perverted-justice.com and two negative datasets ...
Silvestre Cerdà, Joan Albert; Garcia Martinez, Maria Mercedes; Barrón Cedeño, Luis Alberto; Civera Saiz, Jorge; Rosso ., Paolo(CEUR Workshop Proceedings, 2011)
[EN] This paper presents a proposal for extracting parallel corpora from Wikipedia on the basis of statistical machine translation techniques. We have used
word-level alignment models from IBM in order to obtain phrase-level ...
[EN] We present an approach to detect fake news in Twitter at the account level using a neural recurrent model and a variety of different semantic and stylistic features. Our method extracts a set of features from the ...
[EN] Identifying deceptive online reviews is a challenging tasks for Natural Language Processing (NLP). Collecting corpora for the task is difficult, because normally it is not possible to know whether reviews are genuine. ...
Social circles detection is a special case of community detection in social network that is currently attracting a growing interest in the research community. In this paper, we propose an empirical evaluation of the ...
The use of irony and sarcasm has been proven to be a pervasive phenomenon in social media posing a
challenge to sentiment analysis systems. Such devices, in fact, can influence and twist the polarity of an
utterance in ...
[EN] The rise of social media empowers people to interact and communicate with anyone anywhere in the world. The possibility of being anonymous avoids censorship and enables freedom of expression. Nevertheless, this anonymity ...
Stein, Benno; Rosso, Paolo; Stamatatos, Efstathios; Potthast, Martin; Barrón Cedeño, Luis Alberto; Koppel, Moshe(Association for Computing Machinery (ACM), 2011-06)
[EN] The Fourth International Workshop on Uncovering Plagiarism, Authorship, and Social
Software Misuse (PAN 10) was held in conjunction with the 2010 Conference on Multilingual
and Multimodal Information Access Evaluation ...
[EN] The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused ...
[EN] Stereotype is a type of social bias massively present in texts that computational models use. There are stereotypes that present special difficulties because they do not rely on personal attributes. This is the case ...
[EN] IberLEF is a comparative evaluation campaign for Natural
Language Processing Systems in Spanish and other Iberian languages.
Its goal is to encourage the research community to organize competitive text processing, ...
[EN] This overview paper describes the first shared task on irony
detection for the Arabic language. The task consists of a binary classification of tweets as ironic or not using a dataset composed of 5,030
Arabic tweets ...
PANICHEVA, POLINA; Cardiff, John; Rosso, Paolo(Association for Information Science and Technology (ASIS&T), 2013-07)
[EN] Subjective language contains information about private states. The goal of subjective language identification is to determine that a private state is expressed, without considering its polarity or specific emotion. A ...
Arabic is one of the languages which are less concerned by researchers in the field of Question Answering. The paper presents core modules of a new Arabic Question Answering system called IDRAAQ. These modules aim at ...