Abstract: A method of automatically generating a terminology definition knowledge base (KB) includes mapping each word in a word sequence to a real value dense vector using dense vector representations. The word sequence is then processed using a Convolutional Neural Network (CNN) model to identify whether the word sequence includes a terminology definition and to label the word sequence with a label indicating whether a terminology definition exists within the word sequence. The word sequence is then processed using a Conditional Random Field (CRF) model to identify boundaries of the terminology definition in the word sequence. The terminology definition is then extracted and added to the terminology definition KB.

Abstract: A method for slot-filling in an automated spoken language understanding (SLU) system includes receiving words in a text phrase, generating an encoded output and attention weights using a recurrent neural network (RNN) encoder with an attention mechanism, generating a first and second probability distributions of slot words in an extended slot vocabulary database using an RNN decoder and a pointer network, respectively, for a time step, generating a combined probability distribution based on the first and second probability distributions, and identifying a slot word corresponding to one word in the extended slot vocabulary database having a highest probability value in the combined probability distribution for the time step.

Abstract: A server includes a controller in communication with the server and configured to receive a query related to an issue with a vehicle, retrieve information related to the query from a database that includes structured data including data related to vehicle issues and a solution to the vehicle issues, determine whether the database includes structured data including data related to the solution responsive to the query, and output information including the solution to the issue when the determination identifies that the structured data including the solution in the database or retrieve information from a website when the determination identifies that the structured data including the solution is not found in the database, wherein the controller is further configured to retrieve the information from the website by conducting a keyword search for a first set of results and filtering the information from the website utilizing an autoencoder.

Abstract: A system for monitoring dietary activity of a user includes a wearable device having at least one audio input unit configured to record an audio sample corresponding to audio from a user's neck. The system further includes a processor configured to execute programmed instructions stored in a memory to obtain an audio sample from the audio input unit of a wearable device, determine segmental feature values of a set of selected features from the audio sample by extracting short-term features in the set of selected features from the audio sample and determining the segmental feature values of the set of selected features from the extracted short-term features. The processor is further configured to, using a classifier, classify a dietary activity based on the determined segmental feature values of the audio sample and generate an output corresponding to the classified dietary activity.

Abstract: A method for automated aspect-based sentiment analysis includes parsing reviews from a first domain to generate rhetorical structure trees and extracting rhetorical rules from the rhetorical structure trees, each rhetorical rule including a path extracted from at least one span in at least one of the rhetorical structure trees associated with a probability that the path corresponds to a positive or negative sentiment based on annotation data. The method further includes parsing reviews from a second domain to generate a second plurality of rhetorical structure trees, generating training data that associates at least one aspect in the review from the second domain with a sentiment associated with a rhetorical rule in the plurality of rhetorical rules, and training a classifier to identify sentiments in reviews from the second domain using the second plurality of reviews and the training data.

Abstract: DIY (Do-It-Yourself) is challenging for many novices, requiring extensive knowledge such as the usage of particular tools and the properties of the required materials. Many DIYers use web searches to find relevant information and instructions, but web search is time-consuming and the results often do not fit the DIYers' specific needs. To address these problems, we present a Question Answering (QA) system that can assist DIYers through the whole cycle of a DIY project. Given a natural language question about a DIY project, the QA system described herein provides an answer along with the explanations that are tailored to the DIYers' specific needs.

Abstract: A sample feeding propulsion mechanism for biochemical analyzer, comprising a push plate (1), a horizontal guide rail (2), a motor (3), and it further comprises a propulsive guide plate (4), a thrust roller (5) and a rotating wheel (6), the propulsive guide plate (4) is in sliding fit on the horizontal guide rail (2), the push plate (1) is joined to the propulsive guide plate (4); the rotating wheel 6 is mounted on an output shaft of the motor; the thrust roller is eccentrically mounted on one side of the rotating wheel, the propulsive guide plate is provided with a guide groove forming an included angle with the horizontal guide rail in their length directions; and the thrust roller is in rolling fit in the guide groove. The sample feeding propulsion mechanism for biochemical analyzer in this disclosure is simple in structure, small in size and occupied mounting space.

Abstract: A biochemical analyzer delivery system, comprising a sample feeding track (42), an advancing track (43), a recovery track (44), at least one to-be-tested sub-track (45), at least one emergency sub-track (46) and at least one return sub-track (47); the sample feeding track (42), the advancing track (43) and the recovery track (44) are parallel to each other; the to-be-tested sub-track (45), the emergency sub-track (46) and the return sub-track (47) are disposed between and perpendicular to the sample feeding track (42) and the advancing track (43), an emergency sample may enter the emergency sub-track via the advancing track (43), and then enters the sample feeding track for sample suction. The track-based delivery system can be horizontally disposed in a biochemical analyzer, and can be butt-jointed with a vertical track in the biochemical analyzer, thereby greatly increasing the buffer amount of sample holders without increasing the length of the biochemical analyzer.

Abstract: A method and system for detecting abnormal heart sounds in a phonocardiogram of a person are disclosed. At least one segmented cardiac cycle of the phonocardiogram is received at a processor. The processor decomposes the segmented cardiac cycle into a plurality of frequency sub-bands using a first convolutional neural network having, in particular a plurality of time-convolution layers (tConv). The kernel weights of each time-convolution layer are learned in a training process such that the time-convolution layers identify pathologically significant frequency sub-bands. The processor determines a probability that the segmented cardiac cycle contains an abnormal heart sound based on the plurality of frequency sub-band segments using at least one further neural network. In some embodiments, the time-convolution layers are configured to have a linear phase response (LP-tConv) or a zero phase response (ZP-tConv).

Abstract: A method for slot-filling in an automated spoken language understanding (SLU) system includes receiving words in a text phrase, generating an encoded output and attention weights using a recurrent neural network (RNN) encoder with an attention mechanism, generating a first and second probability distributions of slot words in an extended slot vocabulary database using an RNN decoder and a pointer network, respectively, for a time step, generating a combined probability distribution based on the first and second probability distributions, and identifying a slot word corresponding to one word in the extended slot vocabulary database having a highest probability value in the combined probability distribution for the time step.

Abstract: A method of generating a question data set from a knowledge base including a plurality of statements includes generating at least one question template based on a structure of selected statements of the plurality of statements, generating a seed question for each selected statement based on the at least one question template with a processor, generating at least one first extension question with a search engine by processing each of the seed questions through the search engine, and storing at least one of the at least one first extension questions and the seed questions in a memory as the question data set.

Abstract: The present invention relates to a compound represented by formula (I): and pharmaceutically acceptable salts thereof are disclosed as useful for treating or preventing diabetes, hyperlipidemia, obesity, NASH, inflammation related disorders, and related diseases and conditions. The compounds are useful as agonists of the G-protein coupled receptor GPR120. Pharmaceutical compositions and methods of treatment are also included.

Abstract: A system for monitoring dietary activity of a user includes a wearable device having at least one audio input unit configured to record an audio sample corresponding to audio from a user's neck. The system further includes a processor configured to execute programmed instructions stored in a memory to obtain an audio sample from the audio input unit of a wearable device, determine segmental feature values of a set of selected features from the audio sample by extracting short-term features in the set of selected features from the audio sample and determining the segmental feature values of the set of selected features from the extracted short-term features. The processor is further configured to, using a classifier, classify a dietary activity based on the determined segmental feature values of the audio sample and generate an output corresponding to the classified dietary activity.

Abstract: An information sending method, an apparatus, and a system are provided. The method includes receiving, by a server, an information obtaining request sent by a terminal, the information obtaining request carrying a user identifier; and querying, by the server according to the information obtaining request, historical information corresponding to the user identifier. The method also includes obtaining, by the server, negative feedback information corresponding to the user identifier and associated with the historical information, the negative feedback information comprising a negative feedback reason; and determining, by the server, an information adjustment manner according to the negative feedback reason in the negative feedback information. The method also includes: adjusting, according to the information adjustment manner, an information queue corresponding to the user identifier; and sending, by the server, corresponding information to the terminal according to the adjusted information queue.

Abstract: An in-vehicle infotainment system, smart home information access and device control unit, or mobile system presents summarized information to a user based on a user preference model that is associated with the user. The system modifies the presentation of information to the user based on environmental context data about the vehicle and user context data about the activity of the user. During presentation of the information, the system modifies the content and presentation of the summarized information in response to multi-modal input requests from the user.

Abstract: A method for automated aspect-based sentiment analysis includes parsing reviews from a first domain to generate rhetorical structure trees and extracting rhetorical rules from the rhetorical structure trees, each rhetorical rule including a path extracted from at least one span in at least one of the rhetorical structure trees associated with a probability that the path corresponds to a positive or negative sentiment based on annotation data. The method further includes parsing reviews from a second domain to generate a second plurality of rhetorical structure trees, generating training data that associates at least one aspect in the review from the second domain with a sentiment associated with a rhetorical rule in the plurality of rhetorical rules, and training a classifier to identify sentiments in reviews from the second domain using the second plurality of reviews and the training data.

Abstract: A method for sign language recognition includes receiving, with an input device, an input based on a plurality of hand movements and postures of a user that correspond to a sequence of signs, extracting a plurality of features from the input corresponding to the plurality of hand movements and postures, identifying, a start of the sequence of signs in the input based on a first set of features in the plurality of features and a first Hidden Markov Model (HMM) stored in the memory and identifying a first sign in the input based on a second set of features in the plurality of features and a second HMM stored in the memory. The method also includes generating an output corresponding to the first sign from the input.

Abstract: Embodiments of the present invention disclose a result ranking method and device. The method includes: acquiring search key-information by using an interaction application, and searching a prestored interaction data set for at least one search result associated with the search key-information; ranking the at least one search result according to a quality assessment score corresponding to each of the at least one search result; and outputting the ranked at least one search result. The quality assessment score corresponding to each search result is a value generated according to a number of historical operations performed on each search result and an interactive influence score of an application identifier performing a historical operation on each search result.

Abstract: A method for automated speech recognition includes generating first and second pluralities of candidate speech recognition results corresponding to audio input data using a first general-purpose speech recognition engine and a second domain-specific speech recognition engine, respectively. The method further includes generating a third plurality of candidate speech recognition result including a plurality of words included in one of the first plurality of speech recognition results and at least one word included in another one of the second plurality of speech recognition results, ranking the third plurality of candidate speech recognition results using a pairwise ranker to identify a highest ranked candidate speech recognition result, and operating the automated system using the highest ranked speech recognition result as an input from the user.

Abstract: A method for automated speech recognition includes generating first and second pluralities of candidate speech recognition results corresponding to audio input data using a first general-purpose speech recognition engine and a second domain-specific speech recognition engine, respectively. The method further includes generating a third plurality of candidate speech recognition result including a plurality of words included in one of the first plurality of speech recognition results and at least one word included in another one of the second plurality of speech recognition results, ranking the third plurality of candidate speech recognition results using a pairwise ranker to identify a highest ranked candidate speech recognition result, and operating the automated system using the highest ranked speech recognition result as an input from the user.