45 citations · 45 across the 3 of their papers we have counts for
4 papers
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
Measuring meaning is a central problem in cultural sociology and word embeddings may offer powerful new tools to do so. But like any tool, they build on and exert theoretical assum…
Integrating topic modeling and word embedding to characterize violent deaths
Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays +2
There is an escalating need for methods to identify latent patterns in text data from many domains. We introduce a new method to identify topics in a corpus and represent documents…
Adapting Coreference Resolution for Processing Violent Death Narratives
Ankith Uppunda, Susan D. Cochran, Jacob G. Foster +3
Coreference resolution is an important component in analyzing narrative text from administrative data (e.g., clinical or police sources). However, existing coreference models train…
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler, Jacob G. Foster
As we navigate our cultural environment, we learn cultural biases, like those around gender, social class, health, and body weight. It is unclear, however, exactly how public cultu…