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Using Function Words for Authorship Attribution: Bag-Of-Words vs. Sequential Rules
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In: Natural Language Processing and Cognitive Science Proceedings 2014 ; The 11th International Workshop on Natural Language Processing and Cognitive Science ; https://hal.sorbonne-universite.fr/hal-01198407 ; The 11th International Workshop on Natural Language Processing and Cognitive Science, Oct 2014, Venice, Italy. pp.115-122, ⟨10.1515/9781501501289.115⟩ (2014)
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Discursive mining viewpoints in building multi-document synthesized sheets
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In: Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference ; 27th International Florida Artificial Intelligence Research Society Conference ; https://hal.archives-ouvertes.fr/hal-01941159 ; 27th International Florida Artificial Intelligence Research Society Conference, May 2014, Pensacola Beach, California, United States ; https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS14 (2014)
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Automatic Detection of Reuses and Citations in Literary Texts
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In: ISSN: 0268-1145 ; Literary and Linguistic Computing ; https://hal.archives-ouvertes.fr/hal-00977310 ; Literary and Linguistic Computing, Oxford University Press (OUP), 2014, 29 (3), pp.412-421. ⟨10.1093/llc/fqu020⟩ (2014)
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Abstract:
International audience ; For more than forty years now, modern theories of literature (Compagnon, 1979) insist on the role of paraphrases, rewritings, citations, reciprocal borrowings and mutual contributions of any kinds. The notions of intertextuality, transtextuality, hypertextuality/hypotextuality, were introduced in the seventies and eighties to approach these phenomena. The careful analysis of these references is of particular interest in evaluating the distance that the creator voluntarily introduces with his/her masters. Phoebus is collaborative project that makes computer scientists from the University Pierre and Marie Curie (LIP6-UPMC) collaborate with the literary teams of Paris-Sorbonne University with the aim to develop efficient tools for literary studies that take advantage of modern computer science techniques. In this context, we have developed a piece of software that automatically detects and explores networks of textual reuses in classical literature. This paper describes the principles on which is based this program, the significant results that have already been obtained and the perspectives for the near future.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SHS.LITT]Humanities and Social Sciences/Literature; citation; imitation; intertextuality; literary transformation; literature; reuse; transtextuality
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URL: https://doi.org/10.1093/llc/fqu020
https://hal.archives-ouvertes.fr/hal-00977310
https://hal.archives-ouvertes.fr/hal-00977310/document
https://hal.archives-ouvertes.fr/hal-00977310/file/J-GGanascia_al_LLC_2013_HAL.pdf
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