Abstract:
Knowledge graph processing method and device are disclosed. The method includes steps of obtaining an entity set containing a first entity, a second entity, and relation information; acquiring text information and image information related to the first entity and the second entity; generating a first structural information vector of the first entity and a second structural information vector of the second entity, and creating a first text information vector of the first entity, a first image information vector of the first entity, a second text information vector of the second entity, and a second image information vector of the second entity; and building a joint loss function so as to attain a first target vector of the first entity, a second target vector of the second entity, and a target relation vector of the relation information between the first entity and the second entity.
Abstract:
An optical data storage system utilizes optical fibers for transfer of information to and from storage media. The storage media comprises magneto-optical storage disks. The optical fibers are low-birefringence optical fibers. As compared with conventional approaches, a polarization state conveyed by the optical fiber is accurately reproduced with reduced noise. Various noise reduction techniques are provided by substantially decreasing or eliminating spurious reflections (or the effects thereof) at end faces and of an optical fiber. In particular, various techniques, such as index matching, a cover slip method, laser modulation, or angle polishing, may be used to eliminate spurious reflections (or the effects thereof) at the front end face of the optical fiber. Various techniques, such as angle cleaving, index matching, or multi-mode fiber splicing, may be used to eliminate spurious reflections (or the effects thereof) at the back end face of the optical fiber.
Abstract:
A method and an apparatus are provided for training a named entity recognition (NER) model. By constructing tag annotations for tags and causing the tag annotations to contain information for indicating the positions of tokens in named entities, corresponding to the tags, respectively, in the process of training the NER model, the NER model can better understand the different positions of different tokens in the same named entity, so that the trained NER model can more accurately recognize named entities.
Abstract:
A method and an apparatus for sequence labeling on an entity text, and a non-transitory computer-readable recording medium are provided. In the method, a start position of an entity text within a target text is determined. Then, a first matrix is generated based on the start position of the entity text. Elements in the first matrix indicates focusable weights of each word with respect to other words in the target text. Then, a named entity recognition model is generated using the first matrix. The named entity recognition model is obtained by training using first training data, the first training data includes word embeddings corresponding to respective texts in a training text set, and the texts are texts whose entity label has been labeled. Then, the target text is input to the named entity recognition model, and probability distribution of the entity label is output.
Abstract:
The present invention is directed towards lasonolide derivatives, methods of inducing premature chromosome condensation using lasonolide derivatives, and methods of treating disorders, such as cancer, in a subject, the method comprising administering to the subject a lasonolide derivative.
Abstract:
An optical system and method for selective transmission of light between a source of light and set of storage disks along an optical path includes at least one polarization maintaining optical fiber optical fiber. Various noise reduction techniques are provided by substantially decreasing or eliminating spurious reflections (or the effects thereof) at end faces and of an optical fiber. In particular, various techniques, such as index matching, a cover slip method, or laser modulation, may be used to eliminate spurious reflections (or the effects thereof) at the front end face of the optical fiber. Various techniques, such index matching or multi-mode fiber splicing, may be used to eliminate spurious reflections (or the effects thereof) at the end face of the optical fiber.