Abstract: A method and an apparatus for structuring data are related to information processing technologies in the field of natural language processing. By acquiring an unstructured text and inputting the unstructured text into an encoder-decoder model, an output sequence is obtained. The encoder-decoder model is trained using a training text marked with the attribute value of each attribute. A structured representation is generated based on the attributes corresponding to the attribute elements included in the output sequence and the attribute values comprised in the attribute elements.

Abstract: A device includes a transmitter to transmit serialized data within a differential direct-current (DC) signal over a differential output line, a multiplexer circuit coupled to the transmitter, and a calibration circuit coupled between the differential output line, a multi-phase clock, and the multiplexer circuit. The multiplexer circuit is to select the serialized data from ones of multiple input lines according to a multi-phase clock and pass the selected serialized data to the transmitter. The serialized data includes a calibration bit pattern. The calibration circuit is to capture and digitize the differential DC signal into a digital stream, measure an error value from the digital stream that is associated with distortion based on the calibration bit pattern, convert the error value into a gradient value, and correct one or more phases of the multi-phase clock to compensate for the distortion based on the gradient value.

Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.

Abstract: The disclosure provides a search method, an electronic device and a storage medium. The method includes: obtaining a query statement; determining a correlation between the query statement and a candidate result by matching the query statement with a first structured data set corresponding to the candidate result in a search database, in which the first structured data set is generated by performing information extraction on the candidate result by a structured information extraction model generated by training; and determining, based on the correlation, a target search result corresponding to the query statement.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for subscribing to a topic. The method includes: matching a persistent topic for a retrieval keyword based on the retrieval keyword of a user combined with at least one of historical behavior or a subscription record of the user; returning the persistent topic to a client for display, so that the user performs subscription; and saving the persistent topic subscribed to by the user, and when a matching resource corresponding to the persistent topic subscribed to by the user is updated, recommending the updated matching resource to the user. Since a recommendation strategy can be timely adjusted according to real-time behavior of a user combined with historical behavior, the probability of hitting a topic of interest to the user is increased.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several parameters. Each parameter controls at least a portion of the frequency response of the receiver. The optimal values for the parameters are determined by modifying an initial set of values for the parameters through one or more stochastic hill climbing operations until a performance metric associated with the receiver reaches a local optimum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the parameters.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.

Abstract: A method and an apparatus for structuring data are related to information processing technologies in the field of natural language processing. By acquiring an unstructured text and inputting the unstructured text into an encoder-decoder model, an output sequence is obtained. The encoder-decoder model is trained using a training text marked with the attribute value of each attribute. A structured representation is generated based on the attributes corresponding to the attribute elements included in the output sequence and the attribute values comprised in the attribute elements.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several frequency response parameters. Each frequency response parameter controls at least a portion of the frequency response of the receiver. The optimal values for the frequency response parameters are determined by modifying an initial set of values for the frequency response parameters through one or more of stochastic hill climbing operations until a performance metric associated with the receiver reaches a local maximum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the frequency response parameters.

Abstract: A circuit comprises a first amplifier coupled to a first and a second node; a differential capacitive load coupled to the first and the second node, the differential capacitive load coupled between drains of transistors in a cross coupled transistor circuit; a current mirror coupled to a source of each transistor; and a capacitor coupled between the sources of the transistors. A plurality of amplifiers can be coupled to the differential capacitive load, wherein each amplifier comprises a clock-less pre-amplifier of a comparator. The amplifiers may be abutted to one another such that an active transistor of a first differential stage in a first amplifier behaves as a dummy transistor for an adjacent differential stage in a second amplifier.

Abstract: Embodiments of the present disclosure provide a method and a device for managing a dialogue based on artificial intelligence. The method includes the followings. An optimum system action is determined from at least one candidate system action according to a current dialogue status feature, a candidate system action feature and surrounding feedback information of the at least one candidate system action and based on a decision model. Since the current dialogue status corresponding to the current dialogue status feature includes uncertain results of natural language understanding, the at least one candidate system action acquired according to the current dialogue status also includes the uncertain results of natural language understanding.

Abstract: A circuit comprises a first amplifier coupled to a first and a second node; a differential capacitive load coupled to the first and the second node, the differential capacitive load coupled between drains of transistors in a cross coupled transistor circuit; a current mirror coupled to a source of each transistor; and a capacitor coupled between the sources of the transistors. A plurality of amplifiers can be coupled to the differential capacitive load, wherein each amplifier comprises a clock-less pre-amplifier of a comparator.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for subscribing to a topic. The method includes: matching a persistent topic for a retrieval keyword based on the retrieval keyword of a user combined with at least one of historical behavior or a subscription record of the user; returning the persistent topic to a client for display, so that the user performs subscription; and saving the persistent topic subscribed to by the user, and when a matching resource corresponding to the persistent topic subscribed to by the user is updated, recommending the updated matching resource to the user. Since a recommendation strategy can be timely adjusted according to real-time behavior of a user combined with historical behavior, the probability of hitting a topic of interest to the user is increased.

Abstract: A circuit comprises a first amplifier coupled to a first and a second node; a differential capacitive load coupled to the first and the second node, the differential capacitive load coupled between drains of transistors in a cross coupled transistor circuit; a current mirror coupled to a source of each transistor; and a capacitor coupled between the sources of the transistors. A plurality of amplifiers can be coupled to the differential capacitive load, wherein each amplifier comprises a clock-less pre-amplifier of a comparator. The amplifiers may be abutted to one another such that an active transistor of a first differential stage in a first amplifier behaves as a dummy transistor for an adjacent differential stage in a second amplifier.

Abstract: Embodiments of the present disclosure provide a method and a device for managing a dialogue based on artificial intelligence. The method includes the followings. An optimum system action is determined from at least one candidate system action according to a current dialogue status feature, a candidate system action feature and surrounding feedback information of the at least one candidate system action and based on a decision model. Since the current dialogue status corresponding to the current dialogue status feature includes uncertain results of natural language understanding, the at least one candidate system action acquired according to the current dialogue status also includes the uncertain results of natural language understanding.

Abstract: A frequency divider includes first circuitry, second circuitry, and third circuitry. The first circuitry includes divide-by-two (div2) frequency divider circuitry, and the second circuitry includes additional circuitry for a divide-by-three (div3) frequency divider. The second circuitry is selectively enabled using a control signal and can receive signals from the first circuitry when enabled. Specifically, the second circuitry is enabled in the div3 mode but is not enabled in the div2 mode. The third circuitry receives signals from the first circuitry and also receives signals from the second circuitry when the second circuitry is enabled. The first circuitry and the third circuitry function as a div2 frequency divider when the second circuitry is not enabled. The first circuitry, the second circuitry, and the third circuitry function as a div3 frequency divider when the second circuitry is enabled.