Various embodiments disclosed relate to automated docketing of incoming electronic communications and documents. The present disclosure includes methods and systems for identifying omnibus documents containing more than one event, and splitting those omnibus documents into the individual events or documents.

Various embodiments disclosed relate to automated docketing of incoming electronic communications and documents. The present disclosure includes methods and systems for identifying omnibus documents containing more than one event, and splitting those omnibus documents into the individual events or documents.

Various embodiments disclosed relate to a translation tool for use with a project management or docketing system. The present disclosure includes methods and systems for receiving, identifying, and translating one or more portions of a foreign language document, such as an image document.

Various embodiments disclosed relate to a translation tool for use with a project management or docketing system. The present disclosure includes methods and systems for receiving, identifying, and translating one or more portions of a foreign language document, such as an image document.

A method, computer program, and computer system is provided for identifying a speaker in at text based work. Labeled and unlabeled instances corresponding to one or more speakers are extracted. Pseudo-labels are inferred for the extracted unlabeled instances based on the labeled instances. One or more of the unlabeled instances are labeled based on the inferred pseudo-labels.

A method, computer program, and computer system is provided for identifying a speaker in at text based work. Labeled and unlabeled instances corresponding to one or more speakers are extracted. Pseudo-labels are inferred for the extracted unlabeled instances based on the labeled instances. One or more of the unlabeled instances are labeled based on the inferred pseudo-labels.

Methods and apparatus provide for: generating image data for an application to be displayed on an output device; recording the image data generated by the image generating unit; and receiving operation information from an input device, where the recording includes storing the image data for an application for a predetermined period of time up to the point in time at which operation information is received during the receiving operation information from a specific input unit provided in the input device while displaying an application image.

Methods and apparatus provide for: generating image data for an application to be displayed on an output device; recording the image data generated by the image generating unit; and receiving operation information from an input device, where the recording includes storing the image data for an application for a predetermined period of time up to the point in time at which operation information is received during the receiving operation information from a specific input unit provided in the input device while displaying an application image.

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.

Examples of the present disclosure describe systems and methods for automatically assisting conversations using a graph database. In order to minimize misunderstanding of words and phrases used by participants during a conversation, phrases from the conversation may be received by conversation assistance application as the conversation takes place. Entities may be extracted from the phrase based on natural language recognition according to a domain context of the participant being assisted. One or more tags may be looked up from a graph database, and may be provided to the participant as a list of hashtags related to the conversation. Links to documents may be extracted based on the tags for the participant for viewing during the conversation.