Recherche

2021

Adamou, A., Hou, Y., Picca, D., Egloff, M., & Kenderdine, S. (2021). Ontology-Mediated Cultural Contact Detection Through Motion and Style in Southern Chinese Martial Arts. Proceedings of the International Joint Workshop on Semantic Web and Ontology Design for Cultural Heritage.

Critten, R. G., Gay-Crosier, C., & Picca, D. (2021). French lexis in the Auchinleck Manuscript: A digital-philological approach. Digital Scholarship in the Humanities.

Guex, G., & Xanthos, A. (2021). Vers une estimation robuste des proportions lexicales, in Actes des 15èmes Journées Internationales d’Analyse statistique des Données Textuelles (JADT 2020).

Picca, D., & Gay-Crosier, C. (2021). An Automatic Partitioning of Gutenberg. org Texts. 3rd Conference on Language, Data and Knowledge (LDK 2021). Schloss Dagstuhl-Leibniz-Zentrum für Informatik.

Jacquin, J., & Xanthos, A. (2021). Evolution of linguistic complexity in Hearthstone: a resource and an example in linguistic game studies. Digital Scholarship in the Humanities, 36 (4), 907–918.

2020

Picca, D. (2020). From Intelligent to Wise Machines: Why a Poem Is Worth More Than 1 Million Tweets. Informatik Spektrum43(1), 28–39.

Egloff, M., & Picca, D. (2020). WeDH-a Friendly Tool for Building Literary Corpora Enriched with Encyclopedic Metadata. Proceedings of the 12th Language Resources and Evaluation Conference, 813–816.

Egloff, M., Adamou, A., & Picca, D. (2020). Enabling Ontology-Based Data Access to Project Gutenberg. Proceedings of the WHiSe@ European Semantic Web Conference, 21–32.

2019

Egloff, M., Picca, D., & Adamou, A. (2019). Extraction of character profiles from the Gutenberg archive. Research Conference on Metadata and Semantics Research, 367–372. Springer, Cham.

Piotrowski, M. (2019). History and the future of markup. In Jiří Kosek (Ed.), Proceedings of XML Prague 2019. https://serval.unil.ch/notice/serval:BIB_3C124411CBEA.

Piotrowski, M. (2019). Historical Models and Serial Sources. Journal of European Periodical Studies, 4(1): 8-18. https://serval.unil.ch/notice/serval:BIB_9947DF4A7067.

Piotrowski, M. (2019). A Vision for User-Defined Semantic Markup. In Proceedings of the ACM Symposium on Document Engineering 2019 – DocEng ’19. https://serval.unil.ch/notice/serval:BIB_AEF4A299CAF1.

Rochat, Y. (2019). A Quantitative Study of Historical Video Games (1981–2015). In von Lünen, A., Lewis, K. J., Litherland, B. & Cullum, P. (Eds), Historia Ludens: The Playing Historian. Routledge, pp. 3-19. https://www.routledge.com/Historia-Ludens-The-Playing-Historian/Lunen-Lewis-Litherland-Cullum/p/book/9781032240497

2018

Bavaud, F. (2018). Combien y a-t-il de variétés distinctes d’anglais? In Xanthos, A. & Surcouf, C. (Eds), Mélanges offerts en hommage à Marianne Kilani-Schoch. Cahiers de l’ILSL. 2018, pp. 11–30.

Ceré, R. & Egloff, M. (2018). An illustrated approach to Soft Textual Cartography. Applied Network Science, 3(1), 27. https://doi.org/10.1007/s41109-018-0087-y.

Egloff, M. & Bavaud, F. (2018). Taking into account semantic similarities in correspondence analysis. In Proceedings of the Workshop on Computational Methods in the Humanities 2018 (COMHUM 2018) (Vol. 2314, pp. 45-51). CEUR Workshop Proceedings.

Egloff, M. & Ceré, R. (2018). Soft Textual Cartography Based on Topic Modeling and Clustering of Irregular, Multivariate Marked Networks. In Cherifi, C., Cherifi, H., Karsai, M., & Musolesi, M. (Eds), Complex Networks & Their Applications VI (Vol. 689, pp. 731–743). Cham : Springer International Publishing. https://doi.org/10.1007/978-3-319-72150-7_59.

Egloff, M., Lieto, A., & Picca, D. (2018). An Ontological Model for Inferring Psychological Profiles and Narrative Roles of Characters. In Proceedings of Digital Humanities Conference 2018 (DH18).

Krichane, S. & Rochat, Y. (2018). Pour une analyse des discours sur le jeu vidéo: l’exemple des “cinématiques”, Décadrages. Cinéma à travers champs, 39, pp. 93-118. https://serval.unil.ch/notice/serval:BIB_0E47347F0E51.

Xanthos, A. (2018). A phonological approach to the unsupervised learning of root-and-pattern morphology. In D. Brentari & J. Lee (Ed.) Shaping Phonology (pp. 309–327). Chicago: University of Chicago Press.

Xanthos, A. (2018). Sur le rôle de la diversité lexicale dans la mesure de la diversité flexionnelle. Cahiers de l’ILSL, 56: 311-331.

2017

Egloff, M. & Picca, D., (2017). DHTK: The Digital Humanities ToolKit. In Adamou, A., Daga, E., Isaksen, L. (Eds.), Proceedings of the Second Workshop on Humanities in the Semantic Web (WHiSe). https://serval.unil.ch/notice/serval:BIB_E14EDDF7AF42.

Goldsmith, J., Lee, J., & Xanthos A. (2017). Computational learning of morphology. Annual Review of Linguistics, 3(1): 85-106.

Rochat, Y. & Triclot, M. (2017). Les réseaux de personnages de science-fiction : échantillons de lectures intermédiaires, ReS Futurae, 10. http://journals.openedition.org/resf/1183 ; DOI : 10.4000/resf.1183.

2016

Deneulin, P. & Bavaud, F. (2016). Analyses of open-ended questions by renormalized associativities and textual networks: A study of perception of minerality in wine. Food quality and preference, 47: 34-44.

Deneulin, P., Le Fur, Y., & Bavaud, F. (2016). Study of the polysemic term of minerality in wine: Segmentation of consumers based on their textual responses to an open-ended survey. Food research international, 90: 288-297.

Egloff, M., Picca, D., & Curran, K. (2016). How IBM Watson Can Help Us Understand Character in Shakespeare: A Cognitive Computing Approach to the Plays. In Eder, M. & Rybicki, J. (Eds.), Digital Humanities 2016: Conference Abstracts. https://serval.unil.ch/notice/serval:BIB_23F9E97BD5CD.

Rochat Y., Ehrmann M., Buntinx V., Bornet C., & Kaplan F. (2016). Navigating through 200 years of historical newspapers. In Proceedings of iPRES 2016. https://infoscience.epfl.ch/record/218707/

Xanthos, A., Pante, I., Rochat, Y., & Grandjean, M. (2016). Visualising the dynamics of character networks. Digital Humanities 2016, pp. 417-419. https://serval.unil.ch/notice/serval:BIB_FFC5E66DEEC3.

2015

Bavaud, F., Cocco, C., & Xanthos, A. (2015). Textual navigation and autocorrelation. In Mikros, G., &  Ma?utek, J. (Ed.), Sequences in Language and Text (=Quantitative Linguistics 69) (pp. 35–56). Berlin: De Gruyter.

Picca, D., Jaccard, D., & Eberlé, G. (2015). Natural Language Processing in Serious Games: A state of the art. International Journal of Serious Games, 2 (3): 77-97. https://serval.unil.ch/notice/serval:BIB_E98818CE3DFD.

Xanthos, A. (2015). Software as theory: a case study in the domain of text analysis. Interdisciplinary Science Reviews 40(4): 393-408.

Xanthos, A. & Guex, G. (2015). On the robust measurement of inflectional diversity. pp. 241-254 in Tuzzi A., Benesova M., Macutek J. (Ed.) Recent Contributions to Quantitative Linguistics (=Quantitative Linguistics 70) (pp. 241–254). Berlin: De Gruyter.

2014

Deneulin, P., Gautier, L., Le Fur, Y. & Bavaud, F. (2014). Corrélats textuels autour du concept de minéralité dans les vins. In JADT (Vol. 2014, pp. 209-223).

Rochat, Y. (2014). Character networks and centrality. PhD Thesis. University of Lausanne. https://serval.unil.ch/notice/serval:BIB_663137B68131.

Xanthos, A. (2014). Textable: programmation visuelle pour l’analyse de données textuelles. In Née, E., Daube, J.-M., Valette, M., & Fleury, S. (Ed.), Actes des 12es Journées internationales d’analyse statistique des données textuelles (JADT 2014), pp. 691-703. Paris: jadt.org.