A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.

A system and method for adding at least one label to at least one image. The system can comprise a computer and a user interface comprising an image display and at least one input device configured to permit a user to communicate with the computer. The system is configured to perform a method for adding a label to an image comprising at least one element. In a second aspect, the method comprises several steps including: displaying an image to a user on an image display of a user interface; receiving a positional indication from the user identifying a selected location on the image; and adding a label to the image at a location corresponding to the positional indication. The label comprises a symbolic designation identifying an element of the image, the symbolic designation generated by a system comprising the user interface and without the user fully specifying the symbolic designation.

A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.

A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.

A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.

A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.

Provided are a consultation service apparatus of an automatic civic service system and an information processing method. A user holds an application document and identity credentials and operates a consultation service apparatus at a public area. The consultation service apparatus is connected to at least one business/institutional organization at a remote end through a network. The consultation service apparatus acquires image information of the application document and the identity credentials through an image scanner, confirms validity of the image information and performs service classification thereon, transmits the image information to a corresponding organization according to a classification result, and generates a certificate of completion for proof of completion of all procedures. By virtue of the automatic application submission mechanism, social cost can be reduced and working efficiency can be enhanced.

The system and method to process to identify, assess, adjudicate clinical trial documents, and a proprietary communication process with users and senders each transaction of activity up to the point of eFiling for correct documents in real time including escalation pathways as needed. The system and methodology generates a tracking document for each transaction within the system.

A secure server is used to send and receive all study documents within the system using transmission capabilities. Each document, new or updated, is tracked upon receipt using a proprietary methodology, each error identified using the proprietary adjudication is tracked and prepared for communication to the user/sender in real time. The correction attempts is predetermined within the system, and escalation pathways are implemented at specified time points. All transactions/activities are tracked and prepared for eFiling within a closed cloud based system in real-time.

Provided are a consultation service apparatus of an automatic civic service system and an information processing method. A user holds an application document and identity credentials and operates a consultation service apparatus at a public area. The consultation service apparatus is connected to at least one business/institutional organization at a remote end through a network. The consultation service apparatus acquires image information of the application document and the identity credentials through an image scanner, confirms validity of the image information and performs service classification thereon, transmits the image information to a corresponding organization according to a classification result, and generates a certificate of completion for proof of completion of all procedures. By virtue of the automatic application submission mechanism, social cost can be reduced and working efficiency can be enhanced.

A technical document scanner disclosed herein determines and categorizes various common issues among a large number of documents. An implementation of the technical document scanner is implemented using various computer process instructions including scanning a technical document to extract content, applying named entity recognition on the extracted content from the technical document to extract named entities, applying relation extraction on the named entities to extract relations between the named entities, and analyzing the relations between the entities to compose lists of high relevance entities for issue checking.