The disclosed technology provides computer-to-wireless-voice integration methods and systems. In some implementations, the methods and systems deliver real-time voice instructions to users of required time-sensitive actions and ensure that such directives are received and a recipient effectively acts on the directives. The systems and methods include receiving a notification of an event from a terminal in a wireless active voice engine (WAVE) system, determining an active voice directive corresponding to the event with a WAVE module, converting the active voice directive into a voice event via a directive converter, and notifying a targeted recipient of the active voice directive corresponding to the event with a communications module. In some implementations, the systems and methods include sending a confirmation event via the receiver to the communications module that the active voice directive was received by the targeted recipient and communicating the active voice directive has been completed.

A dialogue apparatus includes a speech recognition unit (1) configured to perform speech recognition on utterance input to generate a text corresponding to the utterance, a speech waveform corresponding to the utterance, and information regarding a length of sound of the utterance; a language understanding unit (2) configured to grasp contents of the utterance by using the text corresponding to the utterance; a dialogue management unit (3) configured to determine contents of a response corresponding to the utterance by using the content of the utterance; an utterance state extraction unit (4) configured to extract a state of the utterance by using the text corresponding to the utterance, the speech waveform corresponding to the utterance, and the information regarding the length of the sound of the utterance; a response state determination unit (5) configured to determine a state of the response according to the state of the utterance; a response sentence generation unit (6) configured to generate a response sentence by using the content of the response; and a speech synthesis unit (7) configured to synthesize speech corresponding to the response sentence with the state of the response taken into account.

An apparatus for matching video records with postings using audiovisual data processing is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a posting including a plurality of criteria, receive a video record, extract a plurality of textual elements from the video record, identify a plurality of credentials from the video record, generate a compatibility score for the video record based on the plurality of criteria and the plurality of credentials, and match the video record with the posting based on the compatibility score.

An apparatus for matching video records with postings using audiovisual data processing is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a posting including a plurality of criteria, receive a video record, extract a plurality of textual elements from the video record, identify a plurality of credentials from the video record, generate a compatibility score for the video record based on the plurality of criteria and the plurality of credentials, and match the video record with the posting based on the compatibility score.

An apparatus for digital posting match recommendation and corresponding methods are provided. An exemplary apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory includes instructions configuring the at least a processor to receive a posting datum of a posting, receive a user datum from a user, retrieve a plurality of records from an immutable sequential listing, determine a compatibility score as a function of the posting datum and the user datum, determine a record recommendation as a function of the posting datum, the user datum, and the plurality of records and display, at a display communicatively connected to the at least a processor, the revised record recommendation and the compatibility score to the user.

An apparatus for digital posting match recommendation and corresponding methods are provided. An exemplary apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory includes instructions configuring the at least a processor to receive a posting datum of a posting, receive a user datum from a user, retrieve a plurality of records from an immutable sequential listing, determine a compatibility score as a function of the posting datum and the user datum, determine a record recommendation as a function of the posting datum, the user datum, and the plurality of records and display, at a display communicatively connected to the at least a processor, the revised record recommendation and the compatibility score to the user.

The present disclosure provides a summary generation model training method and apparatus, a device and a storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence such as natural language processing and deep learning. The summary generation model training method includes: acquiring a document representation corresponding to a document sample; constructing, based on the document representation, a summary representation corresponding to the document representation, the summary representation including a positive summary representation and a negative summary representation; and constructing a total contrastive loss function based on the document representation, the positive summary representation and the negative summary representation, and training a summary generation model based on the total contrastive loss function. The present disclosure may improve accuracy of the summary generation model.

The present disclosure provides a summary generation model training method and apparatus, a device and a storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence such as natural language processing and deep learning. The summary generation model training method includes: acquiring a document representation corresponding to a document sample; constructing, based on the document representation, a summary representation corresponding to the document representation, the summary representation including a positive summary representation and a negative summary representation; and constructing a total contrastive loss function based on the document representation, the positive summary representation and the negative summary representation, and training a summary generation model based on the total contrastive loss function. The present disclosure may improve accuracy of the summary generation model.

A document creation support apparatus includes at least one processor, and the processor generates a sentence related to a property of at least one structure of interest included in an image. The processor determines whether or not a sentence amount of the sentence is a prescribed amount. The processor adjusts the sentence amount such that the sentence amount is the prescribed amount based on a result of the determination.

A document creation support apparatus includes at least one processor, and the processor generates a sentence related to a property of at least one structure of interest included in an image. The processor determines whether or not a sentence amount of the sentence is a prescribed amount. The processor adjusts the sentence amount such that the sentence amount is the prescribed amount based on a result of the determination.