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Sweeney, S.; Crestani, F.; Losada, D.E.: 'Show me more' : incremental length summarisation using novelty detection (2008) 0.02
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Abstract

The paper presents a study investigating the effects of incorporating novelty detection in automatic text summarisation. Condensing a textual document, automatic text summarisation can reduce the need to refer to the source document. It also offers a means to deliver device-friendly content when accessing information in non-traditional environments. An effective method of summarisation could be to produce a summary that includes only novel information. However, a consequence of focusing exclusively on novel parts may result in a loss of context, which may have an impact on the correct interpretation of the summary, with respect to the source document. In this study we compare two strategies to produce summaries that incorporate novelty in different ways: a constant length summary, which contains only novel sentences, and an incremental summary, containing additional sentences that provide context. The aim is to establish whether a summary that contains only novel sentences provides sufficient basis to determine relevance of a document, or if indeed we need to include additional sentences to provide context. Findings from the study seem to suggest that there is only a minimal difference in performance for the tasks we set our users and that the presence of contextual information is not so important. However, for the case of mobile information access, a summary that contains only novel information does offer benefits, given bandwidth constraints.

Source

Information processing and management. 44(2008) no.2, S.663-686

Crestani, F.; Lee, P.L.: Searching the web by constraining spreading activities (2000) 0.01

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Source: Information processing and management. 36(2000) no.4, S.585-605

Agosti, M.; Crestani, F.; Melucci, M.: Design and implementation of a tool for the automatic construction of hypertexts for information retrieval (1996) 0.01

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Source: Information processing and management. 32(1996) no.4, S.459-476

Agosti, M.; Crestani, F.; Melucci, M.: On the use of information retrieval techniques for the automatic construction of hypertext (1997) 0.01

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Source: Information processing and management. 33(1997) no.2, S.133-144

Crestani, F.; Vegas, J.; Fuente, P. de la: ¬A graphical user interface for the retrieval of hierarchically structured documents (2004) 0.00

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Source: Information processing and management. 40(2004) no.2, S.269-289

Crestani, F.; Wu, S.: Testing the cluster hypothesis in distributed information retrieval (2006) 0.00

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Source: Information processing and management. 42(2006) no.5, S.1137-1150

Giachanou, A.; Rosso, P.; Crestani, F.: ¬The impact of emotional signals on credibility assessment (2021) 0.00
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Abstract

Fake news is considered one of the main threats of our society. The aim of fake news is usually to confuse readers and trigger intense emotions to them in an attempt to be spread through social networks. Even though recent studies have explored the effectiveness of different linguistic patterns for fake news detection, the role of emotional signals has not yet been explored. In this paper, we focus on extracting emotional signals from claims and evaluating their effectiveness on credibility assessment. First, we explore different methodologies for extracting the emotional signals that can be triggered to the users when they read a claim. Then, we present emoCred, a model that is based on a long-short term memory model that incorporates emotional signals extracted from the text of the claims to differentiate between credible and non-credible ones. In addition, we perform an analysis to understand which emotional signals and which terms are the most useful for the different credibility classes. We conduct extensive experiments and a thorough analysis on real-world datasets. Our results indicate the importance of incorporating emotional signals in the credibility assessment problem.

Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996) 0.00

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Source: Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003) 0.00

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Date: 22. 3.2003 19:27:36

Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006) 0.00

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Date: 5. 6.2006 11:22:23

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