Improved techniques to access content from documents in an automated fashion. The improved techniques permit content within documents to be retrieved and then used by computer systems operating various software programs (e.g., application programs), such as an extraction program. Documents, especially business transaction documents, often have various descriptors (or tables) and values that form key-value pairs. The improved techniques permit key-value pairs within documents to be recognized and extracted from documents. Consequently, RPA systems are able to accurately understand the content of tables within documents so that users and/or software robots can operate on the documents with increased reliability and flexibility.

Improved techniques to access content from documents in an automated fashion. The improved techniques permit content of tables within documents to be retrieved and then used by computer systems operating various software programs (e.g., application programs). Consequently, Robotic Process Automation (RPA) systems are able to accurately understand the content of tables within documents so that users, application programs and/or software robots can operate on the documents with increased reliability and flexibility. The documents being received and processed can be electronic images of documents. For example, the documents can be business transaction documents which include tables, such as purchase orders, invoices, delivery receipts, bills of lading, etc.

The present disclosure provides, among other things, methods and systems of managing communications, the methods and systems including: receiving a first group communication from a first group; determining, based on the first group communication, a first group sentiment; receiving a first communication with a request to send the first communication to the first group; determining, based on the first communication, a first communication sentiment; comparing the first group sentiment with the first communication sentiment; and based on the comparing, performing an action on the request to send the first communication.

An information processing apparatus includes a processor configured to evaluate a performance of each of a plural combinations of processes, each combination including a series of processes, the plural combinations being included in plural processes, the series of processes being configured to be performed on an image, the performance being evaluated on a basis of a result of performing the series of processes on a test image for each combination, and output an evaluation result for at least two combinations.

An electronic apparatus and a data transmission method thereof are provided. The data transmission method is adapted to an electronic apparatus including a screen, and the data transmission method includes the following steps. An image frame is displayed through the screen. A selection marquee is displayed on the image frame through the screen, and the selection marquee is configured for selecting a partial image frame from the image frame. Connection information is displayed within the selection marquee through the screen, and feature information of data to be transmitted is recognized from the partial image frame selected by the selection marquee. A connection with another electronic apparatus is established according to the connection information. The data to be transmitted is sent to the another electronic apparatus via the connection according to the feature information.

A system and method for field extraction including determining a key position of a key in an electronic file, isolating candidate key values based on a distance from the key position, selecting a key value from the candidate key values based on an output of a trained neural network, and extracting the key and the key value from the electronic file, regardless of a key-value structure.

The present disclosure provides a method and apparatus of estimating a road condition, and a method and apparatus of establishing a road condition estimation model, which relates to a field of big data and intelligent traffic. The method includes: acquiring, for a first preset duration before a first moment, a sequence of user tracks for a road and a sequence of road images for the road; extracting a track-related feature of the road from the sequence of the user tracks, and extracting an image-related feature of the road from the sequence of the road images; and inputting the track-related feature of the road and the image-related feature of the road into a pre-trained road condition estimation model, so as to determine, for a second preset duration after the first moment, a road condition information of the road by using an estimated result of the road condition estimation model.

An embodiment of the present invention provides an information processing apparatus that is capable of generating information about contents of a written work more accurately than conventionally possible. The information processing apparatus includes a determination device, a selector, and a generator. The determination device determines whether a first object and a first property that are mentioned in a first electronic document and that are estimated to be in an association relationship are in accordance with a definition of the association relationship between an object and a property. In a case where the first object and the first property are determined to be not in accordance with the definition, the selector selects, instead of the first object, a second object that is in the association relationship with the first property. The generator generates relationship information indicating that the first electronic document is related to the second object.

Embodiments of this application disclose a method and apparatus for processing graphic symbol and a computer-readable storage medium. The method may include: obtaining a luminance component image of a to-be-processed image, performing binarization processing based on the luminance component image of the to-be-processed image to obtain a binarized image, and performing a grayscale morphological operation based on the binarized image to obtain a target image.

Systems and methods for dynamically generating a predicted similarity score for a pair of input sequences. A predicted similarity score for a pair of input sequences is determined based at least in part on at least one of a token-level similarity probability score for the pair of input sequences, a target region match indication for the pair of input sequences, a fuzzy match score for the pair of input sequences, a character-level match score for the pair of input sequences, one or more similarity ratio occurrence indicators for the pair of input sequences, and a harmonic mean score of the fuzzy match score for the pair of input sequences and the token-level similarity probability score for the pair of input sequences.