Abstract: An image segmentation method includes: obtaining an image to be segmented containing a target object; performing at least one image feature fusion processing on associated feature points based on the image to be segmented, and extracting global feature information during each image feature fusion processing, wherein the associated feature points are at least two feature points having a location association relation; and determining, based on the global feature information extracted, a segmentation mask for the target object.

Abstract: A method for generating a model includes: obtaining training data for training a target model, in which the training data includes labeled data and unlabeled data; obtaining a first output result by the target model based on the labeled data; obtaining a second output result by the target model based on the unlabeled data; and obtaining an optimized target model by optimizing the target model based on the first output result and the second output result.

Abstract: An image capturing method and apparatus, an electronic photography device and a computer-readable storage medium are provided. The image capturing method includes: in a snapshot mode, performing image acquisition at a first frame rate and buffering an acquired first captured image; in a live mode, acquiring a second captured image at a second frame rate, where the second frame rate is less than the first frame rate; and processing the buffered first captured image and the second captured image at the second frame rate.

Abstract: Embodiments of the present disclosure provide a method for generating an information assessment model, a method for determining the usefulness of comment information, apparatus, electronic device, and computer-readable medium.

Abstract: A method, an apparatus, a computer device and a readable medium for knowledge hierarchical extraction of a text are disclosed. The method comprises: performing word segmentation on a designated text to obtain a word list, the word list including at least one word arranged in a sequence in the designated text; analyzing part-of-speech of each word in the word list in the designated text, to obtain a part-of-speech list corresponding to the word list; predicting a SPO triple included in the designated text according to the word list, the part-of-speech list and a pre-trained knowledge hierarchical extraction model. By the technical solutions, the SPO triple included in any designated text however loose its organization and structure is may be accurately extracted based on the pre-trained knowledge hierarchical extraction model. Compared to the prior art, the efficiency and accuracy of knowledge hierarchical extraction may be effectively improved.

Abstract: A method and an apparatus for generating a model are provided. The method includes: acquiring a sample set including sample sentences and labeling knowledge corresponding thereto; and selecting a sample from the sample set, and performing following training steps: inputting a sample sentence into a first initial model to generate first prediction knowledge corresponding to the sample sentence; inputting the first prediction knowledge into a second initial model to generate a first prediction sentence corresponding to the first prediction knowledge; inputting labeling knowledge into the second initial model to generate a second prediction sentence corresponding to the labeling knowledge; inputting the second prediction sentence into the first initial model to generate a second prediction knowledge corresponding to the second prediction sentence; determining a first reward signal; and training, using a reinforcement learning method based on the first reward signal to obtain a first model.

Abstract: According to embodiments of the present disclosure, a method and an apparatus for responding to a question, and a storage medium are provided. The method includes: determining a question characteristic representation corresponding to a question for an object; determining a comment characteristic representation corresponding to a first comment for the object; generating a first target characteristic representation by utilizing the question characteristic representation and the comment characteristic representation; and determining an answer for the question based on the first target characteristic representation.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, a device and a storage medium for evaluating quality of an answer. The method includes extracting a question feature expression of a question and an answer feature expression of an answer with respect to the question, the question and the answer being represented in a form of text; determining a measurement of textual quality of the answer based on the answer feature expression; determining a measurement of correlation on semantics between the question and the answer based on the question feature expression and the answer feature expression; and determining a quality score of the answer with respect the question based on the measurement of textual quality and the measurement of correlations. Therefore, a high-quality answer may be accurately obtained.

Abstract: According to an exemplary embodiment of the present disclosure, a method, apparatus for evaluating a review, a device and a computer readable storage medium are provided. The method for evaluating a review includes obtaining a first vectorized representation of a set of text items in a review for a target object. The method further includes extracting a semantic feature of at least two consecutive text items of the set of text items based on the first vectorized representation. The method further includes determining a degree of importance of the at least two consecutive text items in a context of the review, and determining a degree of the review helping a user to evaluate the target object, based on the degree of importance and the semantic feature. In this way, an automatic, efficient, and accurate evaluation of the value of a review may be achieved.

Abstract: A method, apparatus and device are for extracting information. The method includes: acquiring an annotated corpus, which includes a plurality of sample sentences and annotated information sets corresponding to the sample sentences, constructing an input sequence and an output sequence based on the sample sentences and the annotated information sets corresponding to the sample sentences, obtaining an information extraction model generating the output sequence from the input sequence by carrying out training with a deep learning method, and inputting a to-be-processed sentence into the information extraction model to extract a knowledge information set included in the to-be-processed sentence.

Abstract: According to exemplary embodiments of the present disclosure, a method and an apparatus for determining a response for user input data, a device, and a computer-readable storage medium are provided. The method includes: obtaining search results associated with the user input data. The method also includes: determining correlation degrees between the search results and the user input data. The method also includes: building candidate content for the user input data based on the search results and the correlation degrees. The candidate content includes a paragraph associated with the user input data in the search results. The method also includes: determining the response for the user input data from the candidate content.

Abstract: Provided is a use of methylated locus in Sonic Hedgehog subgroup medulloblastoma, which relates to the technical field of tumor classification and detection. Specifically, the present disclosure provides a use of a reagent for detecting a methylation level of at least one genetic locus selected from ROBO4, OTX2OS1, AHRR, DKK4, or PART1 in a biological sample in the preparation of a diagnostic reagent or a diagnostic kit for Sonic Hedgehog subgroup medulloblastoma. Based on analysis and comparison of data from a large number of Sonic Hedgehog subgroup medulloblastoma samples and other medulloblastoma subgroups samples the methylation level of a genetic locus in the above genes can be used as a referenced indicator for the diagnosis of Sonic Hedgehog subgroup medulloblastoma. Therefore, only a few methylated loci are targeted and detected, and MB SHE can be classified and identified, thereby reducing diagnostic difficulty and cost of Sonic Hedgehog subgroup medulloblastoma.

Abstract: Concept graphs are created as universal taxonomies for text understanding in the open domain knowledge. The nodes in concept graphs include both entities and concepts. The edges are from entities to concepts, showing that an entity is an instance of a concept. Presented herein are embodiments that handle the task of learning interpretable relationships from open domain facts to enrich and refine concept graphs. In one or more embodiments, the Bayesian network structures are learned from open domain facts as the interpretable relationships between relations of facts and concepts of entities. Extensive experiments were conducted on English and Chinese datasets. Compared to the state-of-the-art methods, the learned network structures improve the identification of concepts for entities based on the relations of entities on both English and Chinese datasets.

Abstract: A phage and use thereof in soil remediation are disclosed. The phage ?YSZPK has been deposited at the China Center for Type Culture Collection on Aug. 1, 2018 under Accession No. CCTCC M 2018516, and its taxonomic designation is Pseudomonas aeruginosa and Klebsiella phage ?YSZPK. Biochar and the screened phage are combined and returned into contaminated soil to synergistically control and deeply track and inactivate transmission and spread of antibiotic resistance pathogenic bacteria and resistance genes in a soil-vegetable system. The combination of the biochar and the phage ?YSZPK not only clearly improves the functional stability of microbial community in the soil-vegetable system, but also significantly alleviates the dissemination of the antibiotic resistance pathogenic bacteria in the soil-vegetable system to prevent secondary pollution, thereby providing a new solution for biological remediation and control of farmland soil contaminated by antibiotic resistance pathogenic bacteria in China.

Abstract: The present invention provides salts of pyrazolo[1,5-?]pyridine derivative and use thereof. The invention also relates to a pharmaceutically acceptable composition comprising such salts and a method of using the salts and the pharmaceutically acceptable composition to prevent or treat a proliferative disorder or pulmonary fibrosis in a patient.

Abstract: The present disclosure provides a method and a device for information retrieval, and a computer readable storage medium. The method includes: determining a plurality of search results associated with user input data, and determining a first relevancy between each of the plurality of search results and the user input data; determining a plurality of target paragraphs associated with the user input data from each of the plurality of search results, and determining a second relevancy between each of the plurality of target paragraphs and the user input data; determining a target text segment associated with the user input data from the plurality of target paragraphs in each of the plurality of search results, and determining a third relevancy between the target text segment and the user input data; and determining an order of the plurality of search results based on the first relevancy, the second relevancy and the third relevancy.

Abstract: An information search method is provided. The method includes: searching for webpages related to a search request through a search engine; extracting respective texts related to the search request from respective webpages and splicing the texts to obtain a spliced text; obtaining a text segment from the spliced text; and sending the obtained text segment to the search engine, to display the obtained text segment in an information search result through the search engine. The present disclosure can bring great advantages to the search engine in terms of user experience and interaction, and can satisfy user requirements for a function of an intelligent question and answer. Through present disclosure, it is beneficial to directly presenting a short text with higher relevance to the search request to the user, thereby saving time in screening information for the user.

Abstract: The application provides a character correction method and apparatus, a device, and a storage medium, where the method including: obtaining position information of a click operation of a user on a terminal screen, and obtaining feature information of the click operation; determining distance information between the position information and each key on the terminal screen; determining transition probability information from a character indicated by a history click operation to a character corresponding to each key; determining a character prediction result according to the feature information, the distance information and the transition probability information, where the character prediction result comprises a probability score that the character indicated by the click operation belongs to the character corresponding to each key; and determining the character with a highest probability score as a correction character corresponding to the click operation.

Abstract: Embodiments of the present disclosure provide a method for generating an information assessment model, a method for determining the usefulness of comment information, apparatus, electronic device, and computer-readable medium.

Abstract: A method, an apparatus, a computer device and a readable medium for knowledge hierarchical extraction of a text are disclosed. The method comprises: performing word segmentation on a designated text to obtain a word list, the word list including at least one word arranged in a sequence in the designated text; analyzing part-of-speech of each word in the word list in the designated text, to obtain a part-of-speech list corresponding to the word list; predicting a SPO triple included in the designated text according to the word list, the part-of-speech list and a pre-trained knowledge hierarchical extraction model. By the technical solutions, the SPO triple included in any designated text however loose its organization and structure is may be accurately extracted based on the pre-trained knowledge hierarchical extraction model. Compared to the prior art, the efficiency and accuracy of knowledge hierarchical extraction may be effectively improved.