Giuseppe Carenini - Academia.edu (original) (raw)
Papers by Giuseppe Carenini
We present an evaluation framework in which the effectiveness of evaluative arguments can be meas... more We present an evaluation framework in which the effectiveness of evaluative arguments can be measured with real users. The framework is based on the task-efficacy evaluation method. An evaluative argument is presented in the context of a decision task and measures related to its effectiveness are assessed. Within this framework, we are currently running a formal experiment to verify whether argument effectiveness can be increased by tailoring the argument to the user and by varying the degree of argument conciseness.
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Decision theory h as changed considerably in the last decade. In b ehavioral decision theory, a l... more Decision theory h as changed considerably in the last decade. In b ehavioral decision theory, a large number of studies have shown that human decision making is inherently adaptive and constructive. In prescriptive decision theory, we have witnessed a move from an alternative-focused approach to a value-focused approach. In this paper, we discuss the implications of these new ideas in b ehavioral and p rescriptive decision theory for AI research on preference elicitation.
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This paper describes a media-independent, compositional, )lan-based approach to representing attr... more This paper describes a media-independent, compositional, )lan-based approach to representing attributive descriptions for use in integrated text and graphics generation. An attributive description's main function is to convey information directly contributing to the communicative goals of a discourse, Whereas a referential description's only function is to enable the audience to identify a particular referent. This approach has been implemented as part of an architecture for generating integrated text and information graphics. Uses of referential and attributive descriptions are represented as two distinct types of communicative acts in a media-independent plan. It is particularly important to distinguish the two types of acts, since theyhave different consequences for dialogue and text generation, and for graphic design, •1 I n t r o d u c t i o n This paper describes a media-independent, compositional, plan-based approach to representing attributiv e descriptions for use i...
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We propose a preliminary exploration of the outskirts of the research area concerned with the des... more We propose a preliminary exploration of the outskirts of the research area concerned with the design of artificial reality systems. Our goal is to clarify the concept of artificial reality and its connections both with other kinds of computer systems and with the world we live in (natural reality). In order to provide a framework for such a discussion, we sketch a list of dimensions along which to classify artificial realities. We would like to thank Enrico Franconi (for telling us of the Conference), Enzo Minervini (for pointing out the relevance of Bishop Berkeley), Giorgio Satta (for helping with L a T E X), Sandy Stone (the kindest presence in the matrix) and Achille C. Varzi (for his valuable comments on a preliminary draft). 1 Introduction A complete definition of the concept of artificial reality (AR) seems to be an impossible (if not gratuitous) task. According to the Webster Dictionary [11], real means "not artificial , fraudulent, illusory, or apparent". So, in a...
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Proceedings of the International Conference on Advanced Visual Interfaces
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23rd International Conference on Intelligent User Interfaces
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Journal of Medical Internet Research
Background Social media is a rich source where we can learn about people’s reactions to social is... more Background Social media is a rich source where we can learn about people’s reactions to social issues. As COVID-19 has impacted people’s lives, it is essential to capture how people react to public health interventions and understand their concerns. Objective We aim to investigate people’s reactions and concerns about COVID-19 in North America, especially in Canada. Methods We analyzed COVID-19–related tweets using topic modeling and aspect-based sentiment analysis (ABSA), and interpreted the results with public health experts. To generate insights on the effectiveness of specific public health interventions for COVID-19, we compared timelines of topics discussed with the timing of implementation of interventions, synergistically including information on people’s sentiment about COVID-19–related aspects in our analysis. In addition, to further investigate anti-Asian racism, we compared timelines of sentiments for Asians and Canadians. Results Topic modeling identified 20 topics, and...
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2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
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Alzheimer's & Dementia
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Journal of Artificial Intelligence Research
Topic segmentation and labeling is often considered a prerequisite for higher-level conversation ... more Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP) applications. We present two new corpora of email and blog conversations annotated with topics, and evaluate annotator reliability for the segmentation and labeling tasks in these asynchronous conversations. We propose a complete computational framework for topic segmentation and labeling in asynchronous conversations. Our approach extends state-of-the-art methods by considering a fine-grained structure of an asynchronous conversation, along with other conversational features by applying recent graph-based methods for NLP. For topic segmentation, we propose two novel unsupervised models that exploit the fine-grained conversational structure, and a novel graph-theoretic supervised model that combines lexical, conversational and topic features. For topic labeling, we propose two novel (unsupervised) random w...
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Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jul 12, 2012
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Proceedings of the 21st International Conference on Intelligent User Interfaces - IUI '16, 2016
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Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, Feb 1, 1992
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Computational Linguistics, 2015
Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship ... more Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship between them carries important information that allows the discourse to express a meaning as a whole beyond the sum of its individual parts. Rhetorical analysis seeks to uncover this coherence structure. In this article, we present CODRA— a COmplete probabilistic Discriminative framework for performing Rhetorical Analysis in accordance with Rhetorical Structure Theory, which posits a tree representation of a discourse. CODRA comprises a discourse segmenter and a discourse parser. First, the discourse segmenter, which is based on a binary classifier, identifies the elementary discourse units in a given text. Then the discourse parser builds a discourse tree by applying an optimal parsing algorithm to probabilities inferred from two Conditional Random Fields: one for intra-sentential parsing and the other for multi-sentential parsing. We present two approaches to combine these two stages o...
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We present an evaluation framework in which the effectiveness of evaluative arguments can be meas... more We present an evaluation framework in which the effectiveness of evaluative arguments can be measured with real users. The framework is based on the task-efficacy evaluation method. An evaluative argument is presented in the context of a decision task and measures related to its effectiveness are assessed. Within this framework, we are currently running a formal experiment to verify whether argument effectiveness can be increased by tailoring the argument to the user and by varying the degree of argument conciseness.
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Decision theory h as changed considerably in the last decade. In b ehavioral decision theory, a l... more Decision theory h as changed considerably in the last decade. In b ehavioral decision theory, a large number of studies have shown that human decision making is inherently adaptive and constructive. In prescriptive decision theory, we have witnessed a move from an alternative-focused approach to a value-focused approach. In this paper, we discuss the implications of these new ideas in b ehavioral and p rescriptive decision theory for AI research on preference elicitation.
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This paper describes a media-independent, compositional, )lan-based approach to representing attr... more This paper describes a media-independent, compositional, )lan-based approach to representing attributive descriptions for use in integrated text and graphics generation. An attributive description's main function is to convey information directly contributing to the communicative goals of a discourse, Whereas a referential description's only function is to enable the audience to identify a particular referent. This approach has been implemented as part of an architecture for generating integrated text and information graphics. Uses of referential and attributive descriptions are represented as two distinct types of communicative acts in a media-independent plan. It is particularly important to distinguish the two types of acts, since theyhave different consequences for dialogue and text generation, and for graphic design, •1 I n t r o d u c t i o n This paper describes a media-independent, compositional, plan-based approach to representing attributiv e descriptions for use i...
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We propose a preliminary exploration of the outskirts of the research area concerned with the des... more We propose a preliminary exploration of the outskirts of the research area concerned with the design of artificial reality systems. Our goal is to clarify the concept of artificial reality and its connections both with other kinds of computer systems and with the world we live in (natural reality). In order to provide a framework for such a discussion, we sketch a list of dimensions along which to classify artificial realities. We would like to thank Enrico Franconi (for telling us of the Conference), Enzo Minervini (for pointing out the relevance of Bishop Berkeley), Giorgio Satta (for helping with L a T E X), Sandy Stone (the kindest presence in the matrix) and Achille C. Varzi (for his valuable comments on a preliminary draft). 1 Introduction A complete definition of the concept of artificial reality (AR) seems to be an impossible (if not gratuitous) task. According to the Webster Dictionary [11], real means "not artificial , fraudulent, illusory, or apparent". So, in a...
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Proceedings of the International Conference on Advanced Visual Interfaces
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23rd International Conference on Intelligent User Interfaces
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Journal of Medical Internet Research
Background Social media is a rich source where we can learn about people’s reactions to social is... more Background Social media is a rich source where we can learn about people’s reactions to social issues. As COVID-19 has impacted people’s lives, it is essential to capture how people react to public health interventions and understand their concerns. Objective We aim to investigate people’s reactions and concerns about COVID-19 in North America, especially in Canada. Methods We analyzed COVID-19–related tweets using topic modeling and aspect-based sentiment analysis (ABSA), and interpreted the results with public health experts. To generate insights on the effectiveness of specific public health interventions for COVID-19, we compared timelines of topics discussed with the timing of implementation of interventions, synergistically including information on people’s sentiment about COVID-19–related aspects in our analysis. In addition, to further investigate anti-Asian racism, we compared timelines of sentiments for Asians and Canadians. Results Topic modeling identified 20 topics, and...
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2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)
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Alzheimer's & Dementia
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Journal of Artificial Intelligence Research
Topic segmentation and labeling is often considered a prerequisite for higher-level conversation ... more Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP) applications. We present two new corpora of email and blog conversations annotated with topics, and evaluate annotator reliability for the segmentation and labeling tasks in these asynchronous conversations. We propose a complete computational framework for topic segmentation and labeling in asynchronous conversations. Our approach extends state-of-the-art methods by considering a fine-grained structure of an asynchronous conversation, along with other conversational features by applying recent graph-based methods for NLP. For topic segmentation, we propose two novel unsupervised models that exploit the fine-grained conversational structure, and a novel graph-theoretic supervised model that combines lexical, conversational and topic features. For topic labeling, we propose two novel (unsupervised) random w...
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Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jul 12, 2012
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Proceedings of the 21st International Conference on Intelligent User Interfaces - IUI '16, 2016
Bookmarks Related papers MentionsView impact
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Proceedings the Annual Symposium on Computer Application Sic in Medical Care Symposium on Computer Applications in Medical Care, Feb 1, 1992
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
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Computational Linguistics, 2015
Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship ... more Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship between them carries important information that allows the discourse to express a meaning as a whole beyond the sum of its individual parts. Rhetorical analysis seeks to uncover this coherence structure. In this article, we present CODRA— a COmplete probabilistic Discriminative framework for performing Rhetorical Analysis in accordance with Rhetorical Structure Theory, which posits a tree representation of a discourse. CODRA comprises a discourse segmenter and a discourse parser. First, the discourse segmenter, which is based on a binary classifier, identifies the elementary discourse units in a given text. Then the discourse parser builds a discourse tree by applying an optimal parsing algorithm to probabilities inferred from two Conditional Random Fields: one for intra-sentential parsing and the other for multi-sentential parsing. We present two approaches to combine these two stages o...
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