Search Results for author:
Found 3 papers, 1 papers with code
ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations
This modified corpus has annotations for both citation function and importance classes newly enriched with supplementary contextual and non-contextual feature sets the selection of which follows from the lists of features used by the more successful teams in these shared tasks.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
