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Savoy, J.: Stemming of French words based on grammatical categories (1993)
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- Source
- Journal of the American Society for Information Science. 44(1993) no.1, S.1-9
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Savoy, J.: Authorship of Pauline epistles revisited (2019)
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- Abstract
- The name Paul appears in 13 epistles, but is he the real author? According to different biblical scholars, the number of letters really attributed to Paul varies from 4 to 13, with a majority agreeing on seven. This article proposes to revisit this authorship attribution problem by considering two effective methods (Burrows' Delta, Labbé's intertextual distance). Based on these results, a hierarchical clustering is then applied showing that four clusters can be derived, namely: {Colossians-Ephesians}, {1 and 2 Thessalonians}, {Titus, 1 and 2 Timothy}, and {Romans, Galatians, 1 and 2 Corinthians}. Moreover, a verification method based on the impostors' strategy indicates clearly that the group {Colossians-Ephesians} is written by the same author who seems not to be Paul. The same conclusion can be found for the cluster {Titus, 1 and 2 Timothy}. The Letter to Philemon stays as a singleton, without any close stylistic relationship with the other epistles. Finally, a group of four letters {Romans, Galatians, 1 and 2 Corinthians} is certainly written by the same author (Paul), but the verification protocol also indicates that 2 Corinthians is related to 1 Thessalonians, rendering a clear and simple interpretation difficult.
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Savoy, J.: Estimating the probability of an authorship attribution (2016)
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- Date
- 7. 5.2016 21:22:27
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Savoy, J.: Effectiveness of information retrieval systems used in a hypertext environment (1993)
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- Source
- Hypermedia. 5(1993) no.1, S.23-46
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Savoy, J.: ¬A learning scheme for information retrieval in hypertext (1994)
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- Abstract
- In proposing a searching strategy well suited to the hypertext environment, we have considered four criteria: (1) the retrieval scheme should be integrated into a large hypertext environment; (2) the retrieval process should be operable with an unrestricted text collection; (3) the processing time should be reasonable; and (4) the system should be capable of learning in order to improve its retrieval effectiveness
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Savoy, J.: ¬A new probabilistic scheme for information retrieval in hypertext (1995)
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- Source
- New review of hypermedia and multimedia. 1995, no.1, S.107-134
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Dolamic, L.; Savoy, J.: When stopword lists make the difference (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.200-203
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Savoy, J.: Searching strategies for the Hungarian language (2008)
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- Source
- Information processing and management. 44(2008) no.1, S.310-324
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Kocher, M.; Savoy, J.: ¬A simple and efficient algorithm for authorship verification (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.1, S.259-269
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Picard, J.; Savoy, J.: Enhancing retrieval with hyperlinks : a general model based on propositional argumentation systems (2003)
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- Abstract
- Fast, effective, and adaptable techniques are needed to automatically organize and retrieve information an the ever-increasing World Wide Web. In that respect, different strategies have been suggested to take hypertext links into account. For example, hyperlinks have been used to (1) enhance document representation, (2) improve document ranking by propagating document score, (3) provide an indicator of popularity, and (4) find hubs and authorities for a given topic. Although the TREC experiments have not demonstrated the usefulness of hyperlinks for retrieval, the hypertext structure is nevertheless an essential aspect of the Web, and as such, should not be ignored. The development of abstract models of the IR task was a key factor to the improvement of search engines. However, at this time conceptual tools for modeling the hypertext retrieval task are lacking, making it difficult to compare, improve, and reason an the existing techniques. This article proposes a general model for using hyperlinks based an Probabilistic Argumentation Systems, in which each of the above-mentioned techniques can be stated. This model will allow to discover some inconsistencies in the mentioned techniques, and to take a higher level and systematic approach for using hyperlinks for retrieval.
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Ikae, C.; Savoy, J.: Gender identification on Twitter (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.1, S.58-69
