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Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing
As a practical example, we have used NLP to conduct an interdisciplinary search for compounds that could be carriers for Diffuse Interstellar Bands (DIBs), a long-standing open question in astrophysics.
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation
The most interesting words in scientific texts will often be novel or rare.
Domain-adaptation of spherical embeddings
Two new document classification data-sets are collated from general and chemistry scientific journals to compare the proposed update training strategies with benchmark models.
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