Topics and Trends in Cognitive Science (2000-2017)
- Computer Science
An unsupervised learning algorithm known as dynamic topic modeling is applied to the 2000–2017 Proceedings of the Cognitive Science Society to identify historical trends in the popularity of topics over time, and shifts in word use within topics indicative of changing focuses within the field.
What Is This Thing Called Philosophy of Science? A Computational Topic-Modeling Perspective, 1934–2015
- PhilosophyHOPOS: The Journal of the International Society for the History of Philosophy of Science
What is philosophy of science? Numerous manuals, anthologies, and essays provide carefully reconstructed vantage points on the discipline that have been gained through expert and piecemeal historical…
Topic Modeling the Reading and Writing Behavior of Information Foragers
This dissertation presents several case studies that demonstrate how reading and writing behaviors interact to construct personal knowledge bases and reveals the interplay between individual and collective phenomena where innovation takes place.
Exploratory mapping of theoretical landscapes through word use in abstracts
- Computer ScienceScientometrics
It is shown that it is possible to predict fairly accurately the theory of a paper by constructing a model of the theories based on their distribution of word use, and this results may open new avenues for the application of scientometric tools on theoretical divides.
- LinguisticsThe Oxford Handbook of Psycholinguistics
This chapter on sentence comprehension reviews prominent sentence comprehension models addressing how people can turn a linear string of words into an understanding of sentence meaning: who did what…
Analysing the History of Autism Spectrum Disorder Using Topic Models
- Computer Science2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
A novel framework for the discovery of underlying topics of a longitudinal collection of scholarly data, and the tracking of their lifetime and popularity over time is described, using a non-parametric Bayesian approach.
Quantifying Interdisciplinarity in Cognitive Science and Beyond
- PsychologyTop. Cogn. Sci.
Recent publications have lamented the dominance of psychology in cognitive science. However, this relies on a limited definition of collaboration between fields. We call for a renewed conception of…
Moral learning: Psychological and philosophical perspectives
THROUGH THE LOOKING-GLASS: PsycINFO as an Historical Archive of Trends in Psychology
- PsychologyHistory of psychology
This essay concludes that certain projects simply cannot be undertaken without further investment by the American Psychological Association, because forgotten changes in the assumptions informing the PsycINFO database make its index terms untrustworthy for use in trend-tracking before 1967.
Integration by Parts: Collaboration and Topic Structure in the CogSci Community
- Computer ScienceTop. Cogn. Sci.
It is argued that a formal quantitative approach which combines structural co-authorship information and semantic topic analysis provides inroads to questions about the level of interdisciplinary collaboration in a scientific community.
SHOWING 1-10 OF 16 REFERENCES
Studying the History of Ideas Using Topic Models
- Computer ScienceEMNLP
Unsupervised topic modeling is applied to the ACL Anthology to analyze historical trends in the field of Computational Linguistics from 1978 to 2006, finding trends including the rise of probabilistic methods starting in 1988, a steady increase in applications, and a sharp decline of research in semantics and understanding between 1978 and 2001.
Topics in semantic representation.
- Computer SciencePsychological review
This article analyzes the abstract computational problem underlying the extraction and use of gist, formulating this problem as a rational statistical inference that leads to a novel approach to semantic representation in which word meanings are represented in terms of a set of probabilistic topics.
A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge.
- Computer Science
A new general theory of acquired similarity and knowledge representation, latent semantic analysis (LSA), is presented and used to successfully simulate such learning and several other psycholinguistic phenomena.
Dynamic topic models
- Computer ScienceICML
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections, and dynamic topic models provide a qualitative window into the contents of a large document collection.
Linguistic complexity: locality of syntactic dependencies
Interdisciplinarity at the journal and specialty level: The changing knowledge bases of the journal cognitive science
- PsychologyJ. Assoc. Inf. Sci. Technol.
The historical specificity of this development can be compared with the development of “artificial intelligence” into an integrated specialty during this same period and the fluidity and fuzziness of the interdisciplinary delineations in the different visualizations can be reduced and clarified using factor analysis.
Integration of visual and linguistic information in spoken language comprehension.
- Linguistics, PsychologyScience
To test the effects of relevant visual context on the rapid mental processes that accompany spoken language comprehension, eye movements were recorded with a head-mounted eye-tracking system while subjects followed instructions to manipulate real objects.
Natural Language Processing with Python
- Computer Science
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic…
An fMRI Investigation of Emotional Engagement in Moral Judgment
It is argued that moral dilemmas vary systematically in the extent to which they engage emotional processing and that these variations in emotional engagement influence moral judgment.