Abstract: A method of training a natural language neural network comprises obtaining at least one constituency span; obtaining a training video input; applying a multi-modal transform to the video input, thereby generating a transformed video input; comparing the at least one constituency span and the transformed video input using a compound Probabilistic Context-Free Grammar (PCFG) model to match the at least one constituency span with corresponding portions of the transformed video input; and using results from the comparison to learn a constituency parser.

Abstract: A method, computer program, and computer system is provided for extracting relations between one or more entities in a sentence. A forest corresponding to probabilities of relations between each pair of the entities is generated, and the generated forest generated forest is encoded with relation information for each of the pairs of entities. One or more features are extracted based on the generated forest and the encoded relation information, and a relation is predicted between the entities of each pair of entities based on the extracted features.

Abstract: A transform type is obtained for decoding the transform block of transform coefficients. A template for entropy-decoding values related to the transform coefficients is selected based on the transform type. The template indicates, for a to-be-coded value, positions of already coded values. A context for selecting a probability distribution for entropy decoding a current value of the values is determined using the template. The current value is entropy decoded from a compressed bitstream using the probability distribution.

Abstract: A method, computer program, and computer system to recover a dropped pronoun is provided for receiving data corresponding to one or more input words and determining contextual representations for the received input word data. The dropped pronoun may be identified based on a probability value associated with the contextual representations, and a span associated with one or more of the received input words may and that corresponds to which of the input words the dropped pronoun refers may be determined.

Abstract: A cable fixing device includes an upper body to contact a cable, a lower body to travel through an opening of a plate-shaped structure along an engagement direction, and a middle body positioned between the upper body and the lower body along the engagement direction, the middle body to contact a side wall of the opening of the plate-shaped structure, where a height H1 of the sidewall of the opening of the plate-shape structure along the engagement position is smaller than a height H2 of the middle body along the engagement direction, and where a height difference ?H between H2 and H1 decreases as the cable travels through the upper body along the engagement direction.

Abstract: A method, computer program, and computer system to recover a dropped pronoun is provided for receiving data corresponding to one or more input words and determining contextual representations for the received input word data. The dropped pronoun may be identified based on a probability value associated with the contextual representations, and a span associated with one or more of the received input words may and that corresponds to which of the input words the dropped pronoun refers may be determined.

Abstract: A data frame, a data transmitting method and a data transmitting device are provided. The data frame includes a set number of transmission time intervals each including at least two reference signal channels for transmitting pilot signals. A first transmission time interval of the set number of transmission time intervals further includes a control channel, a primary synchronization signal channel, a secondary synchronization signal channel, a broadcast channel, a shared channel and a guard time interval. Each transmission time interval other than the first transmission time interval further includes a control channel, a discovery signal channel, a shared channel and a guard time interval. A second slot of a last transmission time interval further includes a set number of access signal channels.

Abstract: A first torque estimator determines a first torque estimation value according to a cross product method, and a second torque estimator determines a second torque estimation value according to an energy method.

Abstract: Disclosed are a display module and a television, the display module including: a back plate including a back plate body and a side wall, the back plate body and the side wall being integrally formed and together defining a mounting space, a connecting rib parallel to the back plate body being integrally formed on an inside surface of the side wall; a display screen, an edge of an inside surface of the display screen being fixed to the connecting rib; and an optical film set mounted in the mounting space.

Abstract: Processes of polymerizing olefin monomers and catalyst systems. The catalyst systems include a non-hydrogen-generating post-metallocene procatalyst; a co-catalyst; and a hydrogenation procatalyst having the formula Cp2TiXnTiCp2 or Cp2TiXn, in which each Cp is cyclopentadienyl substituted with at least one (C1-C10)alkyl; each X is independently monoanionic or neutral, wherein each X is independently (C1-C40)hydrocarbon, (C1-C40)heterohydrocarbon, (C1-C40)hydrocarbyl, (C1-C40)heterohydrocarbyl, or a halogen atom; and n is 1 or 2.

Abstract: A method, computer program, and computer system is provided for extracting relations between one or more entities in a sentence. A forest corresponding to probabilities of relations between each pair of the entities is generated, and the generated forest generated forest is encoded with relation information for each of the pairs of entities. One or more features are extracted based on the generated forest and the encoded relation information, and a relation is predicted between the entities of each pair of entities based on the extracted features.

Abstract: A method for preparing a porous nano-fiber heterostructure photocatalytic filter screen includes: preparing a noble metal nanostructure with tunable spectra and a heterostructure composite photocatalyst of a photocatalytic material; and preparing a large area and multilayer porous nano-fiber filter screen structure, while utilizing a scattering enhancement effect of metal nanoparticles in an porous optical fiber to realize repeated conduction of sunlight in the optical fiber and finally interact with the composite photocatalyst on a surface to improve photocatalytic efficiency.

Abstract: In a DC/DC converter, a voltage input from a power source is converted into a predetermined voltage, a harmonic component generated by a harmonic signal generator is superimposed on the converted voltage, and a result is output to the inverter as power to drive an electric motor. As a result, the electric motor can be driven by the signal on which the harmonic components are superimposed without being limited to the upper limit of the switching frequency of the inverter.

Abstract: The invention relates to a traction battery pack, comprising at least one battery pack assembly each comprising: a battery module array, which comprises a plurality of battery modules arranged in an arrangement direction, each of the battery modules comprising a plurality of cells, cell heat-insulating elements being arranged between adjacent cells, and module heat-insulating elements being arranged on two sides of each of the battery modules in the arrangement direction; a top assembly and a bottom assembly located at the top and bottom of the plurality of battery modules, respectively; side beams arranged on two sides of the battery module array respectively in a direction perpendicular to the arrangement direction, the side beams extending substantially parallel to the arrangement direction; and a smoke discharge channel, which communicates with the outside through a valve, the valve being capable of discharging a gas in the smoke discharge channel to the outside under a set condition.

Abstract: A method, computer program, and computer system is provided for representing multi-turn conversations. Data corresponding to a conversation having one or more utterances is received, contextual representations are identified for the one or more utterances, a span corresponding to the identified contextual representations is determined, and the one or more utterances are rewritten based on maximizing a probability associated with the determined span.

Abstract: The catalyst system includes a heterogeneous procatalyst and a hydrogenation procatalyst. The heterogeneous procatalyst includes a titanium species, an aluminum species, and a magnesium chloride component. The hydrogenation procatalyst has the formula Cp2TiX2, In formula Cp2TiX2, each Cp is a cyclopentadienyl substituted with at least one R1, wherein R1 is (C1-C10)alkyl; and each X is independently a halogen atom.

Abstract: A torque control of an in-vehicle motor is performed in consideration of a slip prevention control. Filtering processing is performed by a first filter processor on a high-order torque command value from a high-order device, and filtering processing is performed by a second filter processor on an angular velocity detected by an angular velocity detector. A driving torque command value to drive an electric motor is calculated based on filtering processing results. Each of the filter processors changes a time constant of the filtering processing according to a road surface friction coefficient as disturbance information.

Abstract: A method, computer program, and computer system is provided for parsing multi-party dialogue. Dialogue data having one or more elementary discourse units is received. A local representation and a global representation are determined for each of the elementary discourse units based on performing a pairwise comparison on the elementary discourse units. Relationships between the elementary discourse units are identified based on the determined local and global representations. A contextual link is predicted between non-adjacent elementary discourse units based on the identified relationships.

Abstract: A method of training a natural language neural network comprises obtaining at least one constituency span; obtaining a training video input; applying a multi-modal transform to the video input, thereby generating a transformed video input; comparing the at least one constituency span and the transformed video input using a compound Probabilistic Context-Free Grammar (PCFG) model to match the at least one constituency span with corresponding portions of the transformed video input; and using results from the comparison to learn a constituency parser.