New technologies have led to vast troves of large and complex data sets across many
scientific domains and industries. People routinely use machine learning techniques not …

Recent advances in computational content analysis have provided scholars promising new
ways for estimating party positions. However, existing text‐based methods face challenges …

The instrumental variables estimator first appeared explicitly in Appendix B of The Tariff on
Animal and Vegetable Oils by Philip G. Wright (1928). It has been suggested that this …

The choice of particular variables for construction of a set of characteristic features relevant
to classification can be executed in a kind of external process with respect to a classification …

There has been a rapid increase in the application of computational methods to humanities
data in recent years. Numerous workshops, lectures, bootcamps, blogs, and texts have …

This article deals with the one of the oldest and most traditional fields in quantitative
linguistics, the concept of vocabulary richness. Although there are several methods for …

This dissertation argues that formulaic phenomena in Homer are best described by using
the linguistic concept of construction (borrowed from Construction Grammar). Through a …

Linguistic information can help improve evaluation of similarity between documents;
however, the kind of linguistic information to be used depends on the task. In this paper, we …

Proceedings of the... Page 1 Proceedings of the 2nd Workshop on Building Educational
Applications Using NLP, pages 37–44, Ann Arbor, June 2005. cOAssociation for Computational …

Machine learning approaches are employed in the variety of feature extraction and
classification tasks because of their efficiency in dealing with huge amount of data. The …