Abstract: A schema and cell value aware Named Entity Recognition (NER) model is used to perform natural language queries. Natural language queries may be received via an interface of a natural language query processing system. A fuzzy search may be performed that allows non-exact matches for column names or cell values of data sets potentially used to answer the natural language query. An NER model that adds a type embedding for an exact match of a column name or cell found in the fuzzy search that corresponds to a span of one or more words may be applied as part of generating the entity prediction for the natural language query. One or more queries to at least one of the data sets may be performed to return a result to the natural language query using the entity prediction generated by the NER machine learning model.

Abstract: Techniques for handling natural language query processing are described. In some examples, a sequence-to-sequence model is used to handle a natural language query. Post-processing of a result of the sequence-to-sequence model utilizes fine-grained information from an entity linker. In some examples, the sequence-to-sequence model and aspects of a natural language query pipeline are used to handle a natural language query.

Abstract: Techniques for predicting an answer to a question using a machine learning model are described. In some examples, the model predicts one or more answers to the question by: predicting at least two answers to the question using a first component of the question-answer model from a set of passages, generating, using a second component of the question-answer model, at least one question for each of the predicted at least two answers, and performing roundtrip predictions until each generated question only has one answer.

Abstract: A method for constructing a decoding network, a speech recognition method, a device, an apparatus, and a storage medium are provided. The method for constructing a decoding network includes: acquiring a general language model, a domain language model, and a general decoding network generated based on the general language model; generating a domain decoding network based on the domain language model and the general language model; and integrating the domain decoding network with the general decoding network to obtain a target decoding network. The speech recognition method includes: decoding to-be-recognized speech data by using a target decoding network to obtain a decoding path for the to-be-recognized speech data; and determining a speech recognition result for the to-be-recognized speech data based on the decoding path for the to-be-recognized speech data.

Abstract: A speech recognition error correction method and device, and a readable storage medium are provided. The method includes: acquiring to-be-recognized speech data and a first recognition result of the speech data, re-recognizing the speech data with reference to context information in the first recognition result to obtain a second recognition result, and determining a final recognition result based on the second recognition result. In the method, the speech data is re-recognized with reference to context information in the first recognition result, which fully considers context information in the recognition result and the application scenario of the speech data. If any error occurs in the first recognition result, the first recognition result is corrected based on the second recognition. Therefore, the accuracy of speech recognition can be improved.

Abstract: The invention relates to the technical field of communication, in particular to a VR-based communication method, interaction method, device, equipment and medium.

Abstract: The invention relates to a method for monitoring a biomanufacturing process using a metabolic network of cells, including performing a flux balance analysis based on a metabolic network to obtain a metabolic flux; combining the metabolic flux and a production process variable to form a training dataset, and establishing a biological fermentation process monitoring model and a statistical quantity control limit; and performing online running status monitoring based on the monitoring model by using a production process variable that is acquired in real time and a calculated value of the metabolic flux. For the method for monitoring a biomanufacturing process using a metabolic network of cells of the invention, the method uses detectable or observable information in a microbe manufacturing process, and fully exploits undetectable intracellular metabolic information in a growth and reproduction process of cells, so that running status evaluation and fault monitoring can be implemented more effectively.

Abstract: The present application provides a method for cross-node cloning of a storage volume, a device, apparatus and a storage medium. The method includes: creating AEP storage in a node of a cluster by using pmem-csi, and monitoring whether a clone volume of the AEP storage exist in other nodes of the cluster, in response to that a clone volume of the AEP storage is monitored in the other nodes of the cluster, stopping the AEP storage and the clone volume; creating a snapshot of the AEP storage, and recovering the AEP storage; and starting the clone volume after transmitting snapshot data of the AEP storage to the clone volume. By using the solution of the present application, the problem of performing application migration and data backup of an AEP storage volume used in a cloud platform may be solved.

Abstract: The present disclosure relates to the field of semiconductor technology, and proposes a material supply system and a material supply method. The material supply system includes a storage device, a gas channel and a material channel, wherein the storage device comprises a first storage tank and a second storage tank that are independently disposed, and both the first storage tank and the second storage tank are used to store a supply material; the gas channel is connected to the first storage tank, the gas channel is connected to the second storage tank, and the gas channel is used to feed gas; and the material channel is connected to the first storage tank or the second storage tank in a switchable manner to receive the supply material discharged from the first storage tank or the second storage tank.

Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.

Abstract: A method (and structure and computer product) of machine translation for processing input questions includes receiving, in a processor on a computer, an input question presented in a natural language. The input question is preprocessed to find one or more condition values for possible Structured Query Language (SQL) queries. One or more possible SQL queries are enumerated based on the one or more found condition values and a paraphrasing model is used to rank the enumerated SQL queries. The highest ranked SQL query is executed against a relational database to search for a response to the input question.

Abstract: The present utility model relates to a device for improving gas detection in a photoionization detector. A gas detector is provided. The device reduces interference of photoelectric noise on the reading of the gas detector for target gases such as volatile organic compounds.

Abstract: An automatic seismic facies identification method based on combination of Self-Attention mechanism and U-shape network architecture, including: obtaining and preprocessing post-stack seismic data to construct a sample training and validation dataset; building an encoder through an overlapped patch merging module with down-sampling function and a self-attention transformer module with global modeling function; building a decoder through a patch expanding module with linear upsampling function, the self-attention transformer module, and a skip connection module with multilayer feature fusion function; building a seismic facies identification model using the encoder, the decoder, and a Hypercolumn module, where the seismic facies identification model includes a Hypercolumns-U-Segformer (HUSeg); and building a hybrid loss function; iteratively training the seismic facies identification model with a training and validation set; and inputting test data into a trained identification model to obtain seismic facies co

Abstract: A positive photosensitive resin composition comprises a resin, a diazonaphthoquinone compound and a solvent. The resin comprises a combination of any one or more of polyamic acid, polyamic ester and polyimide of a segment shown in the following structure; The resin film formed by the positive photosensitive resin composition is applied to a semiconductor passivation film, a semiconductor element protective film, an insulating layer of an organic electroluminescent element, a flat film of a thin film transistor (TFT) substrate, a wiring protective insulating film of a circuit board and a flat film for displays and solid camera elements. The photosensitive resin film formed by the positive photosensitive resin composition has the characteristics of low shrinking rate and excellent heat resistance and resolving power, and has good application effect in electronic elements.

Abstract: The present application provides a method for cross-node cloning of a storage volume, a device, apparatus and a storage medium. The method includes: creating AEP storage in a node of a cluster by using pmem-csi, and monitoring whether a clone volume of the AEP storage exist in other nodes of the cluster, in response to that a clone volume of the AEP storage is monitored in the other nodes of the cluster, stopping the AEP storage and the clone volume; creating a snapshot of the AEP storage, and recovering the AEP storage; and starting the clone volume after transmitting snapshot data of the AEP storage to the clone volume. By using the solution of the present application, the problem of performing application migration and data backup of an AEP storage volume used in a cloud platform may be solved.

Abstract: A positive photosensitive resin composition comprises a resin, a diazonaphthoquinone compound and a solvent. The resin comprises a combination of any one or more of polyamic acid, polyamic ester and polyimide of a segment shown in the following structure; . The resin film formed by the positive photosensitive resin composition is applied to a semiconductor passivation film, a semiconductor element protective film, an insulating layer of an organic electroluminescent element, a flat film of a thin film transistor (TFT) substrate, a wiring protective insulating film of a circuit board and a flat film for displays and solid camera elements. The photosensitive resin film formed by the positive photosensitive resin composition has the characteristics of low shrinking rate and excellent heat resistance and resolving power, and has good application effect in electronic elements.

Abstract: A water-based electronic cigarette liquid is disclosed. The water-based electronic cigarette liquid includes the following ingredients in parts by mass: 5-60 parts of water, 5-50 parts of smoke ingredient which is solid at normal temperature and is soluble in water, and 0-30 parts of glycerol. The electronic cigarette liquid in this invention has environmental protection, high safety, comfortable smoking taste, high smoke producing effect, and low viscosity.

Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.

Abstract: An automatic seismic facies identification method based on combination of Self-Attention mechanism and U-shape network architecture, including: obtaining and preprocessing post-stack seismic data to construct a sample training and validation dataset; building an encoder through an overlapped patch merging module with down-sampling function and a self-attention transformer module with global modeling function; building a decoder through a patch expanding module with linear upsampling function, the self-attention transformer module, and a skip connection module with multilayer feature fusion function; building a seismic facies identification model using the encoder, the decoder, and a Hypercolumn module, where the seismic facies identification model includes a Hypercolumns-U-Segformer (HUSeg); and building a hybrid loss function; iteratively training the seismic facies identification model with a training and validation set; and inputting test data into a trained identification model to obtain seismic facies co

Abstract: A neck-hanging massaging device includes an elastic arm, a first handle, a second handle, an electrode assembly and an electric pulse generating device. The first handle and the second handle are fixedly connected to the two sides of the elastic arm. The electrode assembly is arranged on the elastic arm. The electric pulse generating device is electrically connected with the electrode assembly. The electric pulse generating device is arranged in the first handle.