Knowledge graph technology has important guiding significance for efficient and orderly
fault diagnosis of robot transmission system. Taking the historical robot maintenance logs of …

Background: Given the threat posed by cancer to human health, there is a rapid growth in
the volume of data in the cancer field and interdisciplinary and collaborative research is …

(57) ABSTRACT A method, apparatus and device are for extracting informa tion. The method
includes: acquiring an annotated corpus, which includes a plurality of sample sentences and …

The label quality of defect data sets has a direct influence on the reliability of defect
prediction models. In this study, for multi-version-project defect data sets, we propose an …

User portrait technology can bring huge commercial value to enterprises. Based on movie
recommendation, this article extracts user tags from movie information based on the movie's …

Online review is the real evaluation of the purchased on the internet, and play a leading role
in the purchase of future customers. At present, the analysis of online reviews based on …

One of the trends in Natural Language Processing (NLP) is the use of word embedding. Its
aim is to build a low dimensional vector representation of words from text corpora. Global …

In the Chinese natural language processing, this paper proposes a hierarchical semantic
learning model based on the neural network model for the semantic understanding of the …

Collaborative Filtering (CF) has been widely used in many recommender systems over the
past decades. Conventional CF-based methods mainly consider the ratings given to items …