Gözde Özbal

Also published as: Gozde Ozbal


2018

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A Computational Exploration of Exaggeration
Enrica Troiano | Carlo Strapparava | Gözde Özbal | Serra Sinem Tekiroğlu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Several NLP studies address the problem of figurative language, but among non-literal phenomena, they have neglected exaggeration. This paper presents a first computational approach to this figure of speech. We explore the possibility to automatically detect exaggerated sentences. First, we introduce HYPO, a corpus containing overstatements (or hyperboles) collected on the web and validated via crowdsourcing. Then, we evaluate a number of models trained on HYPO, and bring evidence that the task of hyperbole identification can be successfully performed based on a small set of semantic features.

2017

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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.

2016

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PROMETHEUS: A Corpus of Proverbs Annotated with Metaphors
Gözde Özbal | Carlo Strapparava | Serra Sinem Tekiroğlu
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Proverbs are commonly metaphoric in nature and the mapping across domains is commonly established in proverbs. The abundance of proverbs in terms of metaphors makes them an extremely valuable linguistic resource since they can be utilized as a gold standard for various metaphor related linguistic tasks such as metaphor identification or interpretation. Besides, a collection of proverbs fromvarious languages annotated with metaphors would also be essential for social scientists to explore the cultural differences betweenthose languages. In this paper, we introduce PROMETHEUS, a dataset consisting of English proverbs and their equivalents in Italian.In addition to the word-level metaphor annotations for each proverb, PROMETHEUS contains other types of information such as the metaphoricity degree of the overall proverb, its meaning, the century that it was first recorded in and a pair of subjective questions responded by the annotators. To the best of our knowledge, this is the first multi-lingual and open-domain corpus of proverbs annotated with word-level metaphors.

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Learning to Identify Metaphors from a Corpus of Proverbs
Gözde Özbal | Carlo Strapparava | Serra Sinem Tekiroğlu | Daniele Pighin
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

2015

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Exploring Sensorial Features for Metaphor Identification
Serra Sinem Tekiroğlu | Gözde Özbal | Carlo Strapparava
Proceedings of the Third Workshop on Metaphor in NLP

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Echoes of Persuasion: The Effect of Euphony in Persuasive Communication
Marco Guerini | Gözde Özbal | Carlo Strapparava
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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Automation and Evaluation of the Keyword Method for Second Language Learning
Gözde Özbal | Daniele Pighin | Carlo Strapparava
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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A Computational Approach to Generate a Sensorial Lexicon
Serra Sinem Tekiroğlu | Gözde Özbal | Carlo Strapparava
Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)

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Sensicon: An Automatically Constructed Sensorial Lexicon
Serra Sinem Tekiroğlu | Gözde Özbal | Carlo Strapparava
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2013

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BRAINSUP: Brainstorming Support for Creative Sentence Generation
Gözde Özbal | Daniele Pighin | Carlo Strapparava
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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A Computational Approach to the Automation of Creative Naming
Gözde Özbal | Carlo Strapparava
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Brand Pitt: A Corpus to Explore the Art of Naming
Gözde Özbal | Carlo Strapparava | Marco Guerini
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The name of a company or a brand is the key element to a successful business. A good name is able to state the area of competition and communicate the promise given to customers by evoking semantic associations. Although various resources provide distinct tips for inventing creative names, little research was carried out to investigate the linguistic aspects behind the naming mechanism. Besides, there might be latent methods that copywriters unconsciously use. In this paper, we describe the annotation task that we have conducted on a dataset of creative names collected from various resources to create a gold standard for linguistic creativity in naming. Based on the annotations, we compile common and latent methods of naming and explore the correlations among linguistic devices, provoked effects and business domains. This resource represents a starting point for a corpus based approach to explore the art of naming.

2010

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The Color of Emotions in Texts
Carlo Strapparava | Gozde Ozbal
Proceedings of the 2nd Workshop on Cognitive Aspects of the Lexicon