Abstract: An ultrasonic surgical handpiece comprising a thermal diffuser that includes a thermal conductive layer and an electrical insulating layer. The thermal diffuser reduces hot spots that are objectionable to the user. The handpiece may also comprise an anti-rotation feature which distributes force of the metal horn applied to the polymer housing by increasing applied area under torque.

Abstract: A positioning system for a rear view display device includes at least a first gear rod for positioning a cover plate, a second gear rod for positioning the cover plate, a spring jack, and a position sensing means. The first gear rod, the second gear rod, and the spring jack may include conductive material. The spring jack may be adapted to contact the first gear rod and the second gear rod. The position sensing means may be adapted to sense the position of the first gear rod relative to the spring jack with at least a first resistance value of a first conductive path between at least a first point on the first gear rod and the spring jack varying with the position of the first gear rod relative to the spring jack.

Abstract: A mechanism is provided in a data processing system for solving a textual logic problem. A logic problem solution engine in the data processing system receives an input text containing a logic problem. A parser executing in the data processing system parses the input text to identify entities in the input text. The logic problem solution engine performs cognitive processing on the input text to discover relationships between the entities. A statistical analysis component executing in the data processing system determines statistical relationships between pairs of entities in the input text to form a set of statistical relationships. The logic problem solution engine determines whether a given statistical relationship within the set of statistical relationships fits as a solution to the logic problem.

Abstract: A consistent meaning framework (CMF) graph including a plurality of nodes linked by a plurality of edges is maintained in data storage of a data processing system. Multiple nodes among the plurality of nodes are meaning nodes corresponding to different word meanings for a common word spelling of a natural language. Each of the multiple word meanings has a respective one of a plurality of associated constraints. A natural language communication is processed by reference to the CMF graph. The processing includes selecting, for a word in the natural language communication, a selected word meaning from among the multiple word meanings based on which of the plurality of associated constraints is satisfied by the natural language communication. An indication of the selected word meaning is stored in data storage.

Abstract: A voice recognition device includes a memory and a processor. The processor is configured to store in the memory, digital voice data corresponding to a voice signal input from a voice input unit, recognize a spoken voice utterance from the voice data after a voice input start instruction is received, determine whether to correct the recognition result of the spoken voice utterance based on a time interval from a time when the voice input start instruction is received to a time when the voice signal is input via the voice input unit, and correct the recognition result of the voice utterance based on the time interval.

Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.

Abstract: Detection and classification of personally identifiable information includes identifying a document with a known author. A first set of features of the document is extracted using natural language processing, and a second set of features of the document is extracted based upon one or more past documents for the known author using a recurrent neural network. The first set of features and the second set of features are classified using a classifier to produce classified extracted features. Personally identifiable information is labeled in the document based upon the classified extracted features.

Abstract: Systems, methods, and computer-executable instructions for approximating a softmax layer are disclosed. A small world graph that includes a plurality of nodes is constructed for a vocabulary of a natural language model. A context vector is transformed. The small world graph is searched using the transformed context vector to identify a top-K hypothesis. A distance from the context vector for each of the top-K hypothesis is determined. The distance is transformed to an original inner product space. A softmax distribution is computed for the softmax layer over the inner product space of the top-K hypothesis. The softmax layer is useful for determining a next word in a speech recognition or machine translation.

Abstract: A system, computer program product, and method are provided to leverage a taxonomy service to format ground truth data. An artificial intelligence platform processes ground truth data, including identification of one or more applicable taxonomy tags. The identified tags are filtered and applied to the ground truth data, thereby constructing an output string that incorporates the ground truth data together with one or more of the identified tags, effectively transforming the ground truth data. Application of the transformed ground truth data is employed to accurately identify the source and/or meaning of the natural language, and in one embodiment, to product a physical action or transformation of a physical hardware device.

Abstract: Techniques disclose validating user-provided text feedback for topical relevance relative to a question asked. A form with at least a first field is received. The first field includes unstructured text content provided as feedback in response to a question. The unstructured text content of the first field is evaluated to identify an answer type. A measure of relevance of the unstructured text content relative to the question is determined based on the evaluation.

Abstract: In various example embodiments, a system and method for determining a crowd response for a crowd are presented. One method is disclosed that includes receiving an audio signal that includes concurrent responses from two or more respondents, determining the concurrent responses from the audio signal without regard to the identity of the respondents, and generating a crowd based on the concurrent responses.

Abstract: A system includes a wearable device including a memory and a processor. The processor receives a verbal input for a vehicle from a user. The processor interprets the verbal input to locate in the memory at least one datum predetermined to be interpretable by the vehicle computer. The processor generates a message corresponding to the verbal input including the at least one datum, and sends the message to the vehicle.

Abstract: A computer-implemented method of training an assessment model for assessing constructed texts expressing opinions on subjects includes accessing a plurality of training texts, which are constructed texts. The training texts are analyzed with the processing system to derive values of a plurality of linguistic features of an assessment model. At least one of the plurality of linguistic features relates to sentiment and at least one of the plurality of linguistic feature relates to specificity. The assessment model is trained with the processing system based on the values of the plurality of linguistic features. Based on the training, a weight for each of the plurality of linguistic features is determined. The assessment model is calibrated to include the weights for at least some of the plurality of linguistic features such that the assessment model is configured to generate assessment measures for constructed texts expressing opinions on subjects.

Abstract: A method and a language processing and knowledge building system (LPKBS) for processing textual data, receives textual data and a language object; segments the textual data into sentences and each sentence into words; generates a list of one or more natural language phrase objects (NLPOs) for each word by identifying vocabulary classes and vocabulary class features for each word based on vocabulary class feature differentiators; creates sentence phrase lists, each including a combination of one NLPO selected per word from each list of NLPOs; groups two or more NLPOs in each sentence phrase list based on word to word association rules, the vocabulary classes, the vocabulary class features, and a position of each NLPO; replaces each such group of NLPOs with a consolidated NLPO; maps each segmented sentence to a sentence type; identifies a semantic item for each mapped NLPO; and identifies and stores associated attributes and relations.

Abstract: Generating reports. The method may include receiving, by a computer, data associated with a meeting. The method may include converting the received data to audio text data, digital text data, and graphical object data. The method may include identifying tokens associated with the converted audio text data, the converted digital text data, and the converted graphical object data. The method may include integrating each token corresponding to timeline data, positional data, and structural data. The method may include creating semantic correlations by connecting tokens associated with the converted audio text data and tokens associated with the converted digital text data. The method may include associating each of the integrated tokens with a semantic correlation based on the timeline data. The method may include creating a report outline based on the received data. The method may include creating an integrated report using the created report outline and the associated tokens.

Abstract: Generating reports. The method may include receiving, by a computer, data associated with a meeting. The method may include converting the received data to audio text data, digital text data, and graphical object data. The method may include identifying tokens associated with the converted audio text data, the converted digital text data, and the converted graphical object data. The method may include integrating each token corresponding to timeline data, positional data, and structural data. The method may include creating semantic correlations by connecting tokens associated with the converted audio text data and tokens associated with the converted digital text data. The method may include associating each of the integrated tokens with a semantic correlation based on the timeline data. The method may include creating a report outline based on the received data. The method may include creating an integrated report using the created report outline and the associated tokens.

Abstract: Information can be provided upon quantitatively associating a sound symbolism word and a physical feature. An input unit configured to input a sound symbolism word; a morpheme analyzing unit configured to analyze a phonemic element included in the sound symbolism word; a physical feature estimating unit configured to estimate a physical feature value corresponding to the sound symbolism word based on a phonemic physical feature database defining a correlation between a phonemic element and a physical feature value, with respect to the phonemic element included in the sound symbolism word; and a presenting unit configured to present the estimated physical feature value, are included.

Abstract: A method include placing a first processor in a sleep operating mode and running a second processor that is operative to wake the first processor from the sleep operating mode in response to a speech command phrase. The method includes identifying, by the second processor, a speech command phrase segment and performing a control operation in response to detecting the segment in detected speech. The control operation is performed while the first processor is maintained in the sleep operating mode.

Abstract: A method include placing a first processor in a sleep operating mode and running a second processor that is operative to wake the first processor from the sleep operating mode in response to a speech command phrase. The method includes identifying, by the second processor, a speech command phrase segment and performing a control operation in response to detecting the segment in detected speech. The control operation is performed while the first processor is maintained in the sleep operating mode.

Abstract: A system and method for out-of-vocabulary compound word handling is provided. Embodiments may include storing a plurality of compound word rules and compound word dictionaries in a database. Embodiments may also include evaluating membership criteria associated with a received compound word, wherein membership criteria includes at least one of dictionary based or part of speech (POS) based criteria. Embodiments may further include applying one or more filtering rules to the received compound word.