Výsledky vyhledávání - "Mays, Vickie"

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Integrating topic modeling and word embedding to characterize violent deaths

Autor: Arseniev-Koehler, Alina, Cochran, Susan D., Mays, Vickie M., Chang, Kai-Wei, Foster, Jacob Gates

Publikováno v: PNAS 2022

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 as topic sequences. Discourse Atom Topic Modeling draws on advances i

Externí odkaz: http://arxiv.org/abs/2106.14365

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Adapting Coreference Resolution for Processing Violent Death Narratives

Autor: Uppunda, Ankith, Cochran, Susan D., Foster, Jacob G., Arseniev-Koehler, Alina, Mays, Vickie M., Chang, Kai-Wei

Coreference resolution is an important component in analyzing narrative text from administrative data (e.g., clinical or police sources). However, existing coreference models trained on general language corpora suffer from poor transferability due to

Externí odkaz: http://arxiv.org/abs/2104.14703

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