History of Philosophy in Ones and Zeros

Betti, Arianna; Berg, Hein van den; Oortwijn, Yvette; Treijtel, Caspar

doi:10.5040/9781350069022.ch-011

Cited by 11 publications

(13 citation statements)

References 12 publications

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“…Furthermore, philosophical writing is often precise and terminology tends to be defined or at least discussed in the text, so there should be enough information for modeling meaning even when working with small data, for instance in one or multiple works by a particular philosopher or from a particular philosophical tradition. Last but not least, the field of philosophy could benefit from this type of modeling -although philosophers have not yet made broad use of computational methods (Betti et al, 2019), it has been shown that new insights can be obtained using an information retrieval tool based on a distributional semantic model of digitalized philosophical texts (Ginammi et al, in press).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Consistency of Word Embeddings from Small Data

Bloem

Fokkens

Herbelot

2019

Proceedings - Natural Language Processing in a Deep Learning World

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In this work, we address the evaluation of distributional semantic models trained on smaller, domain-specific texts, particularly philosophical text. Specifically, we inspect the behaviour of models using a pretrained background space in learning. We propose a measure of consistency which can be used as an evaluation metric when no in-domain gold-standard data is available. This measure simply computes the ability of a model to learn similar embeddings from different parts of some homogeneous data. We show that in spite of being a simple evaluation, consistency actually depends on various combinations of factors, including the nature of the data itself, the model used to train the semantic space, and the frequency of the learned terms, both in the background space and in the in-domain data of interest.

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Section: Introductionmentioning

confidence: 99%

Evaluating the Consistency of Word Embeddings from Small Data

Bloem

Fokkens

Herbelot

2019

Proceedings - Natural Language Processing in a Deep Learning World

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“…1 For other works on the history of philosophy through topic modeling, see those of Betti and van den Berg and colleagues (Betti and van den Berg 2014;Betti and van den Berg 2016;Betti, van den Berg, Oortwijn, and Treijtel 2019) and the other contributions to the second part of Fischer and Curtis (2019).…”

Section: Journal and Year Selectionmentioning

confidence: 99%

Changing use of formal methods in philosophy: late 2000s vs. late 2010s

et al. 2021

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Traditionally, logic has been the dominant formal method within philosophy. Are logical methods still dominant today, or have the types of formal methods used in philosophy changed in recent times? To address this question, we coded a sample of philosophy papers from the late 2000s and from the late 2010s for the formal methods they used. The results indicate that (a) the proportion of papers using logical methods remained more or less constant over that time period but (b) the proportion of papers using probabilistic methods was approximately three times higher in the late 2010s than it was in the late 2000s. Further analyses explored this change by looking more closely at specific methods, specific levels of technical engagement, and specific subdisciplines within philosophy. These analyses indicate that the increasing proportion of papers using probabilistic methods was pervasive, not confined to particular probabilistic methods, levels of sophistication, or subdisciplines.

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“…In this sense, a model is both a descriptive and a heuristic device used to capture a certain feature observed in the data and support further exploration and interpretation of it. The use of the model approach in the field of history of philosophy and ideas has so far been limited to implementations in which the researcher designs the model before analyzing the data and then uses it as a heuristic tool to study a given corpus and investigate a given research question (De Jong and Betti 2010;van den Berg 2014, 2016;Betti et al 2019;Sangiacomo 2019). In this article, we experiment with the opposite approach by distilling from the structural aspects revealed by network analysis those features that seem more promising in profiling different kinds of authors and pointing to a general pattern or trend at work in the network itself.…”

Section: Canonical and Noncanonical Authorsmentioning

confidence: 99%

Divide et Impera: Modeling the Relationship between Canonical and Noncanonical Authors in the Early Modern Natural Philosophy Network

Sangiacomo¹,

Beers²

2020

HOPOS: The Journal of the International Society for the History

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This article aims to study the relationship between today's canonical and noncanonical authors in the domain of early modern natural philosophy through the lens of social network analysis. By studying a massive corpus of letters (Electronic Enlightenment project), we examine the structural relationship between several of today's canonical authors in natural philosophy and noncanonical women philosophers operating in the same network. We demonstrate the structure of this network and its effects on noncanonical authors. By modeling the case of women philosophers, we show that our model can be used to identify further noncanonical authors who had similar profiles.Quantitative hermeneutics is the art of understanding conventions-forms, genres, styles, practices-better than their society ever did. (F. Moretti, Patterns and Interpretation, Stanford Literary Lab, pamphlet 15 [2017])

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History of Philosophy in Ones and Zeros

Abstract: You will be contacted as soon as possible.

Cited by 11 publications

References 12 publications

Evaluating the Consistency of Word Embeddings from Small Data

Evaluating the Consistency of Word Embeddings from Small Data

Changing use of formal methods in philosophy: late 2000s vs. late 2010s

Divide et Impera: Modeling the Relationship between Canonical and Noncanonical Authors in the Early Modern Natural Philosophy Network

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