Entity representations are useful in natural language tasks involving entities. In this paper, we
propose new pretrained contextualized representations of words and entities based on the …

Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity
mentions in a document to their correct references in a knowledge base (KB) (eg, Wikipedia). In …

Functional involvement of the Notch pathway in osteoblastic differentiation has been previously
investigated using the truncated intracellular domain, which mimics Notch signaling by …

We applied MDCT for in vivo evaluation of the microarchitecture of human vertebrae.
Microstructure parameters, such as structure model index, Euler's number, and bone volume …

The embeddings of entities in a large knowledge base (eg, Wikipedia) are highly beneficial
for solving various natural language tasks that involve real world knowledge. In this paper, …

Following great success in the image processing field, the idea of adversarial training has
been applied to tasks in the natural language processing (NLP) field. One promising approach …

Results. There were a substantially larger number of female patients than male patients.
This difference regarding sex was present in each generation. The mean age of the patients …

We present a simple and accurate span-based model for semantic role labeling (SRL). Our
model directly takes into account all possible argument spans and scores them for each label…

Background It is difficult to treat implant-related infections because bacteria form biofilms on
implants. Biofilms protect the organisms from the host’s immune system and prevent …

Mesenchymal stem cells capable of differentiating into multiple cell types are potentially useful
therapeutically for regeneration of bone and cartilaginous tissues. Multipotent fibroblastic …