Conceptual Analysis in a Computer-Assisted Framework: Mind in Peirce
DOI:
https://doi.org/10.6092/issn.2532-8816/7305Parole chiave:
Conceptual analysis, Text mining, Machine learning, Mind, Peirce, PhilosophyAbstract
L’analisi concettuale (AC) è una pratica molto diffusa in filosofia e in altri campi delle scienze umane. Esplorare un corpus di testi di un autore per esaminare le proprietà di un concetto è un esempio classico di AC. Recentemente, un quadro computazionale per l’AC basata sui corpus sta emergendo per rispondere alle sfide metodologiche lanciate dalla massiccia digitalizzazione dei testi. In questo quadro, un’AC è vista come un metodo di analisi del testo assistita dal computer, in cui gli algoritmi usati supportano alcune operazioni cognitive dell’AC. In quest’articolo, ci occupiamo del processo d’identificazione dei segmenti di testo che sono pertinenti all’analisi. Tuttavia, questa è una questione complessa in un quadro computazionale, poiché la relazione tra concetto e linguaggio naturale dipende da diversi fenomeni semantici, come la sinonimia, la polisemia e la modulazione contestuale. Il contributo principale di questo lavoro è di tipo metodologico, poiché esplora l’approccio computazionale all’AC. Presentiamo tre catene di trattamento che identificano dei segmenti di testo pertinenti per una CA, tenendo conto di diversi fenomeni semantici. I risultati rivelano le potenzialità di un’assistenza computazionale all’AC, determinando così la necessità di superare i limiti di queste prime sperimentazioni. Un altro contributo è il trasferimento di conoscenze dall’intelligenza artificiale verso le scienze umane.
Riferimenti bibliografici
Beaney, Michael. 2010. The Analytic Turn: Analysis in Early Analytic Philosophy and Phenomenology. Routledge.
Beaney, Michael. 2015. “Analysis.” In The Stanford Encyclopedia of Philosophy, edited by Edward N. Zalta, Spring 2015. http://plato.stanford.edu/archives/spr2015/entries/analysis/.
Bluhm, Roland. 2013. “Don’t Ask, Look! Linguistic Corpora as a Tool for Conceptual Analysis.”
Blum, Avrim, and Tom Mitchell. 1998. “Combining Labeled and Unlabeled Data with Co-Training.” In Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 92–100. ACM.
Brandom, R. 1994. Making It Explicit: Reasoning, Representing, and Discursive Commitment. Cambridge, MA: Harvard University Press.
Buckner, Cameron, Mathias Niepert, and Colin Allen. 2007. “InPhO: The Indiana Philosophy Ontology.” APA Newsletters-Newsletter on Philosophy and Computers 7 (1):26–28.
Budanitsky, Alexander, and Graeme Hirst. 2006. “Evaluating Wordnet-Based Measures of Lexical Semantic Relatedness.” Computational Linguistics 32 (1):13–47.
Bynum, Terrell Ward, and James Moor. 1998. The Digital Phoenix: How Computers Are Changing Philosophy. Blackwell Publishers.
Chartrand, Louis, Jean-Guy Meunier, Davide Pulizzotto, José López González, Jean-François Chartier, Ngoc Tan Le, Francis Lareau, and Julian Trujillo Amaya. 2016. “CoFiH: A Heuristic for Concept Discovery in Computer-Assisted Conceptual Analysis.” In Proceedings of the 13th International Conference on Statistical Analysis of Textual Data, 1:85–95. Damon Mayaffre, Céline Poudat, Laurent Vanni, Véronique Magri, Peter Follette (dir.).
Colapietro, Vincent M. 1985. “Inwardness and Autonomy: A Neglected Aspect of Peirce’s Approach to Mind.” Transactions of the Charles S. Peirce Society 21 (4):485–512.
Cruse, D. Alan. 1986. Lexical Semantics. Cambridge University Press.
Danis, Jean. 2012. “L’analyse conceptuelle de textes assistée par ordinateur (LACTAO) : une expérimentation appliquée au concept d’évolution dans l’œuvre d’Henri Bergson.” Montréal, Université du Québec à Montréal.
Ding, Xiaojun. 2013. “A Text Mining Approach to Studying Matsushita’s Management Thought.” In Proceedings of The Fifth International Conference on Information, Process, and Knowledge Management, 36–39.
Donald Davidson. 1975. “Thought and Talk.” In Inquiries into Truth and Interpretation. Oxford; New York: Clarendon Press ; Oxford University Press.
Dummett, Michael A. E. 1993. The Seas of Language. Oxford; New York: Clarendon Press ; Oxford University Press.
Erk, Katrin. 2012. “Vector Space Models of Word Meaning and Phrase Meaning: A Survey.” Language and Linguistics Compass 6 (10):635–53.
Ester, Martin, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. 1996. “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.” In Kdd, 96:226–31.
Ester, Martin, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. 1998. “Clustering for Mining in Large Spatial Databases.” KI 12 (1):18–24.
Estève, Raphaël. 2008. “Une approche lexicométrique de la durée bergsonienne.” In Actes des journées de la linguistique de corpus, 3:247–258.
Fabre, Cécile, and Alessandro Lenci. 2015. “Distributional Semantics Today.” Traitement Automatique Des Langues, Sémantique distributionnelle, 56 (2):7–20.
Forsberg, Tuomas. 2011. “Normative Power Europe, Once Again: A Conceptual Analysis of an Ideal Type*.” JCMS: Journal of Common Market Studies 49 (6):1183–1204.
Gilmore, Richard. 2015. “Pragmatism and Islam in Peirce and Iqbal:The Metaphysics of Emergent Mind.” In Muhammad Iqbal, 88–111. Essays on the Reconstruction of Modern Muslim Thought. Edinburgh University Press.
Girju, Roxana, and Dan I. Moldovan. 2002. “Text Mining for Causal Relations.” In FLAIRS-02 Proceedings, 360–64.
Göransson, Kerstin, and Claes Nilholm. 2014. “Conceptual Diversities and Empirical Shortcomings – a Critical Analysis of Research on Inclusive Education.” European Journal of Special Needs Education 29 (3):265–80.
Hindle, Donald. 1990. “Noun Classification from Predicate-Argument Structures.” In Proceedings of the 28th Annual Meeting on Association for Computational Linguistics, 268–75. Association for Computational Linguistics.
Jackson, Frank. 1998. From Metaphysics to Ethics: A Defence of Conceptual Analysis. Clarendon Press.
Jain, Anil K. 2010. “Data Clustering: 50 Years beyond K-Means.” Pattern Recognition Letters 31 (8):651–666.
Kendler, KS, and MC Neale. 2010. “Endophenotype: A Conceptual Analysis.” Molecular Psychiatry 15 (8):789–97.
Laurence, S., and E. Margolis. 2003. “Concepts and Conceptual Analysis.” Philosophy and Phenomenological Research LXVI (2):253–82.
Lawrence, John, Chris Reed, Colin Allen, Simon McAlister, Andrew Ravenscroft, and David Bourget. 2014. “Mining Arguments from 19th Century Philosophical Texts Using Topic Based Modelling.” In Proceedings of the First Workshop on Argumentation Mining, 79–87.
Lin, Dekang. 1998. “Automatic Retrieval and Clustering of Similar Words.” In Proceedings of the 17th International Conference on Computational Linguistics-Volume 2, 768–74. Association for Computational Linguistics.
Liu, Yanchi, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu. 2010. “Understanding of Internal Clustering Validation Measures.” In Data Mining (ICDM), 2010 IEEE 10th International Conference On, 911–16. IEEE.
Luo, Na, Fuyu Yuan, and Wanli Zuo. 2009. “An Integration of Cotraining and Affinity Propagation for PU Text Classification.” In Computer Engineering and Technology, 2009. ICCET’09. International Conference On, 1:150–54. IEEE.
Marcus, Mitchell P., Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. “Building a Large Annotated Corpus of English: The Penn Treebank.” Computational Linguistics 19 (2):313–30.
Margolis, Eric, and Stephen Laurence. 1999. Concepts: Core Readings. MIT Press.
McKinnon, Alastair. 1973. “The Conquest of Fate in Kierkegaard.” CIRPHO 1 (1):45–58.
Meunier, J. G., and D. Forest. 2009. “Lecture et Analyse Conceptuelle Assistée Par Ordinateur: Premières Expériences.” Annotation Automatique et Recherche d’informations. Paris:Hermes.
Meunier, J.-G., and D.et I.Biskri Forest. 2005. “Classification and Categorization in Computer Assisted Reading and Analysis of Texts. Dans.” In Lefebvre (Dir). Handbook of Categorization in Cognitive Science, 955–978. Amsterdam: Elsevier.
Murphy, Gregory. 2004. The Big Book of Concepts. Pbk. Cambridge, Mass: MIT press.
Nigam, Kamal, Andrew Kachites McCallum, Sebastian Thrun, and Tom Mitchell. 2000. “Text Classification from Labeled and Unlabeled Documents Using EM.” Machine Learning 39 (2–3):103–34.
Peirce, Charles Sanders. 1994. The Collected Papers of Charles Sanders Peirce. Edited by Charles Hartshorne and Paul Weiss. Electronic Edition. Virginia, U.S.A.: InteLex Corp. Charlottesville.
Pincemin, Bénédicte. 2007. “Concordances et Concordanciers: De l’art Du Bon KWAC.” In XVIIe Colloque d’Albi Lagages et Signification-Corpus En Lettres et Sciences Sociales: Des Documents Numériques à l’interprétation, 33–42.
Powell, Sumner C. 1953. “Charles S. Peirce, Semiosis, and the ‘Mind.’” ETC: A Review of General Semantics 10 (3):201–8.
Pulizzotto, Davide, José A. Lopez, Jean-François Chartier, Jean-Guy Meunier, Louis Chartrand, Francis Lareau, and Le Tan Ngoc. 2016. “Recherche de «périsegments» Dans Un Contexte d’analyse Conceptuelle Assistée Par Ordinateur: Le Concept d’«esprit» Chez Peirce.” In JEP-TALN-RECITAL 2016, 2:522–31. Paris, France: Association Francophone pour la Communication Parlée (AFCP) et Association pour le Traitement Automatique des Langues (ATALA).
Raees, Aisha. 2007. “Peirce’s Mind.” Masters of Arts in Philosophy, Southern Illinois University Carbondale.
Raees, Aisha. 2015. “Memory: A Semiotic Ontology of the Self.” Doctor of Philosophy, Southern Illinois University at Carbondale.
Reed, Chris. 2016. “Proceedings of the Third Workshop on Argument Mining (ArgMining2016).” Proceedings of the Third Workshop on Argument Mining (ArgMining2016).
Rousseeuw, Peter J. 1987. “Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis.” Journal of Computational and Applied Mathematics 20:53–65.
Ryle, Gilbert. 1949. The Concept of Mind. 2009th ed. New York, NY: Routledge.
Sainte-Marie, Maxime, Jean-Guy Meunier, Nicolas Payette, and Jean-François Chartier. 2010. “Reading Darwin between the Lines: A Computer-Assisted Analysis of the Concept of Evolution in the Origin of Species.” In 10th International Conference on Statistical Analysis of Textual Data.
Salton, Gerard. 1971. The SMART Retrieval System: Experiments in Automatic Document Processing. NJ: Prentice-Hall, Upper Saddle River.
Salton, Gerard. 1983. Introduction to Modem Information. Retrieval, New-York, McGraw-Hill.
Scheible, Silke, Sabine Schulte Im Walde, and Sylvia Springorum. 2013. “Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model.” In IJCNLP, 489–97.
Schwartz, H. Andrew, Greg Park, Maarten Sap, Evan Weingarten, Johannes Eichstaedt, Margaret Kern, Jonah Berger, Martin Seligman, and Lyle Ungar. 2015. “Extracting Human Temporal Orientation in Facebook Language.” In Proceedings of the The 2015 Conference of the North American Chapter of the Association for Computational Linguistics-Human Language Technologies.
Skagestad, Peter. 1999. “Peirce’s Inkstand as an External Embodiment of Mind.” Transactions of the Charles S. Peirce Society 35 (3):551–61.
Sternberg, Robert J., and Peter A. Frensch. 2014. Complex Problem Solving: Principles and Mechanisms. Psychology Press.
Walker, Daniel J., David E. Clements, Maki Darwin, and Jan W. Amtrup. 2001. “Sentence Boundary Detection: A Comparison of Paradigms for Improving MT Quality.” In Proceedings of the MT Summit VIII. Vol. 58.
Wei, Tingting, Yonghe Lu, Huiyou Chang, Qiang Zhou, and Xianyu Bao. 2015. “A Semantic Approach for Text Clustering Using WordNet and Lexical Chains.” Expert Systems with Applications 42 (4):2264–75.
Williams, David M., and Ryan E. Rhodes. 2016. “The Confounded Self-Efficacy Construct: Conceptual Analysis and Recommendations for Future Research.” Health Psychology Review 10 (2):113–28.
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