Abstract: A HST system for use in traveling of a vehicle includes a controller that controls a pump regulator that changes a displacement of a pump and a motor regulator that changes a displacement of a motor. The controller determines whether or not a particular downhill travel condition is satisfied based on a result of detection by a vehicle speed detector that detects a vehicle speed of the vehicle and a result of detection by a rotation number detector that detects a number of rotations of an engine per unit time. In a case where a depression amount of an accelerator pedal, which is detected by a depression amount detector, is zero and the particular downhill travel condition is satisfied, the controller controls the motor regulator to increase the displacement of the motor.

Abstract: An abrasive slurry regeneration method includes: collecting at least a used abrasive slurry containing an abrasive component and a constituent component of a polishing target object discharged from a polishing machine; inactivating a metal ion dissolved in the used abrasive slurry; dispersing the abrasive component and the constituent component of the polishing target object contained in the used abrasive slurry; separating the dispersed abrasive component and constituent component of the polishing target object to remove the constituent component of the polishing target object; and preparing a regenerated abrasive slurry containing the abrasive component.

Abstract: A vehicle control device includes: an actuator drive controller configured to control a drive of an actuator; a main motor drive controller configured to control a drive of a main motor; and a stuck determiner. The stuck determiner determines a stuck of the actuator based on a detection value of a sensor unit that detects a physical quantity changed according to a drive state of the actuator. The main motor drive controller is configured to perform an engaging surface pressure reduction control for reducing an engaging surface pressure between a parking gear and a parking lever by driving the main motor, when the stuck determiner determines that the actuator is stuck in releasing a parking lock of the vehicle.

Abstract: Generating rules to automatically extract linguistic patterns from documents is provided. A first plurality of linguistic pattern extraction rules corresponding to a user-selected text example from a document is generated according to a first abstraction rule of a plurality of abstraction rules. Each respective linguistic pattern extraction rule of the first plurality of linguistic pattern extraction rules having a first identified level of abstraction. The first plurality of linguistic pattern extraction rules ordered by the first identified level of abstraction is presented in a first list to a user via a user interface. A selection of one particular linguistic pattern extraction rule is received from the first list by the user via the user interface. That one particular linguistic pattern extraction rule selected by the user is applied to the document to automatically extract user-desired linguistic patterns similar to the user-selected text example from the document.

Abstract: A system, method, and computer program product for text annotation. The system includes at least one processing component, at least one memory component, an annotation corpus, and a document processor. The document processor is configured to receive a document including at least one annotated text span. The at least one annotated text span is annotated with a type from a type system (e.g., a domain-specific type system). The document processor is also configured to extract linguistic features of the at least one annotated text span, and generate a type attribute for the type based on the extracted linguistic features. Further, the document processor is configured to receive a new annotated text span, which is annotated with the type. The document processor extracts linguistic features of the new annotated text span, and determines whether the linguistic features match the type attribute.

Abstract: A method retrains a lexical analysis model. One or more processors divide a token in a document into a first sub-token having a boundary that begins with a start point of a mention and a second sub-token that ends at an end point of the mention. The processor(s) determine that the start/end point of the mention does not coincide with a start/end point of the first sub-token; concatenate the first sub-token with the second sub-token to create a concatenated token; and store the concatenated token in a user dictionary for the document. The processor(s) perform a morphological analysis of the document using the concatenated token from the user dictionary, and retrain a lexical analysis model for the document by leveraging the performing of the morphological analysis of the document.

Abstract: A cascaded finite-state-transducer array includes a plurality of finite-state-transducers, the finite-state-transducers being distributed in space. The finite-state-transducer array is configured with dedicated data transfer channels between the finite-state-transducers to transfer specific data types. Each data stream on a dedicated data transfer channel may transmit a particular data type, which may be sorted in increasing order of start offsets or token IDs.

Abstract: A method retrains a lexical analysis model. One or more processors divide a token in a document into a first sub-token having a boundary that begins with a start point of a mention and a second sub-token that ends at an end point of the mention. The processor(s) determine that the start/end point of the mention does not coincide with a start/end point of the first sub-token; concatenate the first sub-token with the second sub-token to create a concatenated token; and store the concatenated token in a user dictionary for the document. The processor(s) perform a morphological analysis of the document using the concatenated token from the user dictionary, and retrain a lexical analysis model for the document by leveraging the performing of the morphological analysis of the document.

Abstract: A method for evaluating annotation quality is provided. The method may include obtaining annotation information associated with a plurality of annotators and a plurality of data elements including a plurality of annotation entries corresponding to at least one data element and entered based on an annotation guideline, determining a quality rating for the annotation guideline based on a comparison between a first value associated with the plurality of annotators and the plurality of data elements and a second value associated with any disparity among the plurality of annotation entries, determining a proficiency rating for an annotator from the plurality of annotators based on a comparison between a third value associated with annotation entries by the annotator and the second value, and generating a report based on the quality rating and the proficiency rating.

Abstract: A method for evaluating annotation quality is provided. The method may include obtaining annotation information associated with a plurality of annotators and a plurality of data elements including a plurality of annotation entries corresponding to at least one data element and entered based on an annotation guideline, determining a quality rating for the annotation guideline based on a comparison between a first value associated with the plurality of annotators and the plurality of data elements and a second value associated with any disparity among the plurality of annotation entries, determining a proficiency rating for an annotator from the plurality of annotators based on a comparison between a third value associated with annotation entries by the annotator and the second value, and generating a report based on the quality rating and the proficiency rating.

Abstract: A method for evaluating annotation quality is provided. The method may include obtaining annotation information associated with a plurality of annotators and a plurality of data elements including a plurality of annotation entries corresponding to at least one data element and entered based on an annotation guideline, determining a quality rating for the annotation guideline based on a comparison between a first value associated with the plurality of annotators and the plurality of data elements and a second value associated with any disparity among the plurality of annotation entries, determining a proficiency rating for an annotator from the plurality of annotators based on a comparison between a third value associated with annotation entries by the annotator and the second value, and generating a report based on the quality rating and the proficiency rating.

Abstract: A method for evaluating annotation quality is provided. The method may include obtaining annotation information associated with a plurality of annotators and a plurality of data elements including a plurality of annotation entries corresponding to at least one data element and entered based on an annotation guideline, determining a quality rating for the annotation guideline based on a comparison between a first value associated with the plurality of annotators and the plurality of data elements and a second value associated with any disparity among the plurality of annotation entries, determining a proficiency rating for an annotator from the plurality of annotators based on a comparison between a third value associated with annotation entries by the annotator and the second value, and generating a report based on the quality rating and the proficiency rating.

Abstract: A cascaded finite-state-transducer array includes a plurality of finite-state-transducers, the finite-state-transducers being distributed in space. The finite-state-transducer array is configured with dedicated data transfer channels between the finite-state-transducers to transfer specific data types. Each data stream on a dedicated data transfer channel may transmit a particular data type, which may be sorted in increasing order of start offsets or token IDs.

Abstract: A method for evaluating annotation quality is provided. The method may include obtaining annotation information associated with a plurality of annotators and a plurality of data elements including a plurality of annotation entries corresponding to at least one data element and entered based on an annotation guideline, determining a quality rating for the annotation guideline based on a comparison between a first value associated with the plurality of annotators and the plurality of data elements and a second value associated with any disparity among the plurality of annotation entries, determining a proficiency rating for an annotator from the plurality of annotators based on a comparison between a third value associated with annotation entries by the annotator and the second value, and generating a report based on the quality rating and the proficiency rating.

Abstract: A method for evaluating annotation quality is provided. The method may include obtaining annotation information associated with a plurality of annotators and a plurality of data elements including a plurality of annotation entries corresponding to at least one data element and entered based on an annotation guideline, determining a quality rating for the annotation guideline based on a comparison between a first value associated with the plurality of annotators and the plurality of data elements and a second value associated with any disparity among the plurality of annotation entries, determining a proficiency rating for an annotator from the plurality of annotators based on a comparison between a third value associated with annotation entries by the annotator and the second value, and generating a report based on the quality rating and the proficiency rating.

Abstract: A cascaded finite-state-transducer array includes a plurality of finite-state-transducers, the finite-state-transducers being distributed in space. The finite-state-transducer array is configured with dedicated data transfer channels between the finite-state-transducers to transfer specific data types. Each data stream on a dedicated data transfer channel may transmit a particular data type, which may be sorted in increasing order of start offsets or token IDs.

Abstract: An alignment of attributes is extracted from a pair of mentions in an annotated corpus. An annotated document is read from the annotated corpus. Three character string arrays (A, B, and C) are stored into a first TRIE. The character string arrays include character string representations of attributes of one or more first tokens, second tokens, and neighborhood tokens of mentions of the annotated document, respectively. The storing into the first TRIE obtains partial integer arrays (K, L, and M) that include identifiers corresponding to the attributes of the mentions. The partial integer arrays are stored into a second TRIE. The storing into the second TRIE obtains an identifier array (X) that includes three identifiers. The identifier array is stored into a third TRIE. The storing into the TRIE obtains one identifier of the alignment of attributes.