Abstract: A computer-implemented method for detecting attribute value pairs from corpus data using a computer comprising a processor and a computer readable medium comprising instructions executable by the processor to at least: receive the corpus data comprising at least one pair; detect a layout template of the at least one pair; measure the merit of the layout template by determining at least one of (a) relative magnitudes of content probabilities based on a probability of the contents of an attribute cell and a probability of a corresponding value cell, (b) the validity of a name-value pair, or (c) the pointwise mutual information of a frequency matrix M corresponding to a sparse vector capturing context information of a word; and output detected attribute value pairs.

Abstract: A bearing device of a floating power station includes a supporting component and operation and maintenance passages formed by multiple operation and maintenance floating bodies arranged in sequence. Two adjacent rows of the operation and maintenance passages are connected by the supporting component, and an electrical device mounting position for mounting an electrical device is provided on the supporting component. In the bearing device for the floating power station provided according to the present application, the two adjacent rows of the operation and maintenance passages are connected by the supporting component, and the electrical device is mounted on the electrical device mounting position of the supporting component, that is, the mounting of the electrical device is not affected by a space between the two adjacent operation and maintenance passages, thereby the versatility of the bearing device provided according to the present application is improved.

Abstract: A computer-implemented method for detecting attribute value pairs from corpus data using a computer comprising a processor and a computer readable medium comprising instructions executable by the processor to at least: receive the corpus data comprising at least one pair; detect a layout template of the at least one pair; measure the merit of the layout template by determining at least one of (a) relative magnitudes of content probabilities based on a probability of the contents of an attribute cell and a probability of a corresponding value cell, (b) the validity of a name-value pair, or (c) the pointwise mutual information of a frequency matrix M corresponding to a sparse vector capturing context information of a word; and output detected attribute value pairs.

Abstract: A bearing device of a floating power station includes a supporting component and operation and maintenance passages formed by multiple operation and maintenance floating bodies arranged in sequence. Two adjacent rows of the operation and maintenance passages are connected by the supporting component, and an electrical device mounting position for mounting an electrical device is provided on the supporting component. In the bearing device for the floating power station provided according to the present application, the two adjacent rows of the operation and maintenance passages are connected by the supporting component, and the electrical device is mounted on the electrical device mounting position of the supporting component, that is, the mounting of the electrical device is not affected by a space between the two adjacent operation and maintenance passages, thereby the versatility of the bearing device provided according to the present application is improved.

Abstract: In a data processing system, a method of recommending articles and products to a user is disclosed. The method creates a frequency vector in relation to the content of an article, frequency vectors in relation each of one or more products from intermediate data. The method compares the vectors to determine a content similarity measure, and provides as output a list of one or more products having the highest content similarity measures. The method may also determine a correlation measure. An electronic data processing system for recommending articles and products to a user is also disclosed. The system includes modules to receive article information and product information, a correlation module to determine a content similarity measure between the article and each of the products and, a multiplexer module for providing a list comprising the article and the products associated having the highest content similarity measure.

Abstract: A system and method to classify web-based documents as articles or non-articles is disclosed. The method generates a machine learning model from a human labelled training set which contains articles and non-articles. The machine learning model is applied to new articles to label them as articles or non-articles. The method generates the machine learning model based on content, such as text and tags of the web-based documents. The invention also provides for devices which incorporate the machine learning model, allowing such devices to classify documents as articles or non-articles.

Abstract: A computer-implemented system and method for text classification is provided that applies a hybrid approach for text classification. The system and method includes a text pre-processor which prepares unclassified articles in a format which can be read by a two-stage classifier. The classifier employs a hybrid approach. A keyword-based model achieves machine-labelling of the articles. The machine-labelled articles are used to train a machine learning model. New articles can be applied against the trained model, and classified.