Oliviero Stock


2017

pdf bib
To Sing like a Mockingbird
Lorenzo Gatti | Gözde Özbal | Oliviero Stock | Carlo Strapparava
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers

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. Here we describe a system for automatically producing a musical parody, starting from a corpus of songs. The system can automatically identify characterizing words and concepts related to a novel text, which are taken from the daily news. These concepts are then used as seeds to appropriately replace part of the original lyrics of a song, using metrical, rhyming and lexical constraints. Finally, the parody can be sung with a singing speech synthesizer, with no intervention from the user.

2014

pdf bib
Creative language explorations through a high-expressivity N-grams query language
Carlo Strapparava | Lorenzo Gatti | Marco Guerini | Oliviero Stock
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In computation linguistics a combination of syntagmatic and paradigmatic features is often exploited. While the first aspects are typically managed by information present in large n-gram databases, domain and ontological aspects are more properly modeled by lexical ontologies such as WordNet and semantic similarity spaces. This interconnection is even stricter when we are dealing with creative language phenomena, such as metaphors, prototypical properties, puns generation, hyperbolae and other rhetorical phenomena. This paper describes a way to focus on and accomplish some of these tasks by exploiting NgramQuery, a generalized query language on Google N-gram database. The expressiveness of this query language is boosted by plugging semantic similarity acquired both from corpora (e.g. LSA) and from WordNet, also integrating operators for phonetics and sentiment analysis. The paper reports a number of examples of usage in some creative language tasks.

2012

pdf bib
Ecological Evaluation of Persuasive Messages Using Google AdWords
Marco Guerini | Carlo Strapparava | Oliviero Stock
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

pdf bib
Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English
Carlo Strapparava | Oliviero Stock | Ilai Alon
Proceedings of COLING 2012: Posters

2010

pdf bib
Evaluation Metrics for Persuasive NLP with Google AdWords
Marco Guerini | Carlo Strapparava | Oliviero Stock
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Evaluating systems and theories about persuasion represents a bottleneck for both theoretical and applied fields: experiments are usually expensive and time consuming. Still, measuring the persuasive impact of a message is of paramount importance. In this paper we present a new ``cheap and fast'' methodology for measuring the persuasiveness of communication. This methodology allows conducting experiments with thousands of subjects for a few dollars in a few hours, by tweaking and using existing commercial tools for advertising on the web, such as Google AdWords. The central idea is to use AdWords features for defining message persuasiveness metrics. Along with a description of our approach we provide some pilot experiments, conducted both with text and image based ads, that confirm the effectiveness of our ideas. We also discuss the possible application of research on persuasive systems to Google AdWords in order to add more flexibility in the wearing out of persuasive messages.

pdf bib
Predicting Persuasiveness in Political Discourses
Carlo Strapparava | Marco Guerini | Oliviero Stock
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

In political speeches, the audience tends to react or resonate to signals of persuasive communication, including an expected theme, a name or an expression. Automatically predicting the impact of such discourses is a challenging task. In fact nowadays, with the huge amount of textual material that flows on the Web (news, discourses, blogs, etc.), it can be useful to have a measure for testing the persuasiveness of what we retrieve or possibly of what we want to publish on Web. In this paper we exploit a corpus of political discourses collected from various Web sources, tagged with audience reactions, such as applause, as indicators of persuasive expressions. In particular, we use this data set in a machine learning framework to explore the possibility of classifying the transcript of political discourses, according to their persuasive power, predicting the sentences that possibly trigger applause. We also explore differences between Democratic and Republican speeches, experiment the resulting classifiers in grading some of the discourses in the Obama-McCain presidential campaign available on the Web.

2008

pdf bib
Resources for Persuasion
Marco Guerini | Carlo Strapparava | Oliviero Stock
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

This paper presents resources and strategies for persuasive natural language processing. After the introduction of a specifically tagged corpus, some techniques for affective language processing and for persuasive lexicon extraction are provided together with prospective scenarios of application.

pdf bib
Valentino: A Tool for Valence Shifting of Natural Language Texts
Marco Guerini | Carlo Strapparava | Oliviero Stock
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this paper a first implementation of a tool for valence shifting of natural language texts, named Valentino (VALENced Text INOculator), is presented. Valentino can modify existing textual expressions towards more positively or negatively valenced versions. To this end we built specific resources gathering various valenced terms that are semantically or contextually connected, and implemented strategies that uses these resources for substituting input terms.

2006

pdf bib
The Affective Weight of Lexicon
Carlo Strapparava | Alessandro Valitutti | Oliviero Stock
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

This paper presents resources and functionalities for the recognition and selection of affective evaluative terms. An affective hierarchy as an extension of the WordNet-Affect lexical database was developed in the first place. The second phase was the development of a semantic similarity function, acquired automatically in an unsupervised way from a large corpus of texts, which allows us to put into relation concepts and emotional categories. The integration of the two components is a key element for several applications.

2005

pdf bib
HAHAcronym: A Computational Humor System
Oliviero Stock | Carlo Strapparava
Proceedings of the ACL Interactive Poster and Demonstration Sessions

2000

bib


Proceedings of the Sixth International Workshop on Parsing Technologies

1990

pdf bib
When Something Is Missing: Ellipsis, Coordination and the Chart
Alberto Lavelli | Oliviero Stock
COLING 1990 Volume 3: Papers presented to the 13th International Conference on Computational Linguistics

1989

pdf bib
Head-Driven Bidirectional Parsing: A Tabular Method
Giorgio Satta | Oliviero Stock
Proceedings of the First International Workshop on Parsing Technologies

pdf bib
Parsing with Flexibility, Dynamic Strategies, and Idioms in Mind
Oliviero Stock
Computational Linguistics, Volume 15, Number 1, March 1989

1988

pdf bib
Island Parsing and Bidirectional Charts
Oliviero Stock | Rino Falcone | Patrizia Insinnamo
Coling Budapest 1988 Volume 2: International Conference on Computational Linguistics

1987

pdf bib
Getting Idioms Into a Lexicon Based Parser’s Head
Oliviero Stock
25th Annual Meeting of the Association for Computational Linguistics

pdf bib
Coping With Dynamic Syntactic Strategies: An Experimental Environment for an Experimental Parser
Oliviero Stock
Third Conference of the European Chapter of the Association for Computational Linguistics

1983

pdf bib
WEDNESDAY: Parsing Flexible Word Order Languages
Oliviero Stock | Cristiano Castelfranchi | Domenico Parisi
First Conference of the European Chapter of the Association for Computational Linguistics

1982

pdf bib
“Free” Order Languages: An Experimental Lexicon Based Parser
Cristiano Castelfranchi | Domenico Parisi | Oliviero Stock
Coling 1982 Abstracts: Proceedings of the Ninth International Conference on Computational Linguistics Abstracts

1980

pdf bib
Strategie Selection for an ATN Syntactic Parser
Giacomo Ferrari | Oliviero Stock
18th Annual Meeting of the Association for Computational Linguistics