Abstract: A method and apparatus for optimizing an Ad CTR estimation model are provided. The method includes: calculating a direction vector and a step vector based on data in a training set, wherein the direction vector and the step vector are associated with a first parameter vector, and the first parameter vector is a parameter vector of the Ad CTR prediction model; calculating an optimized first parameter vector by setting the first parameter vector, the direction vector and the step vector as inputs of an update function, and by using a second parameter vector, wherein the second parameter vector is a parameter vector of the update function; estimating an optimized second parameter vector according to an optimization target in a validation set, the optimization target is determined by using the optimized first parameter vector; updating the optimized first parameter vector by using the optimized second parameter vector.

Abstract: A method, a device, and a computer-readable storage medium for updating model parameters are provided. The method includes: according to current values of a first set of parameters of a comment evaluation model, extracting a first feature of a first comment and a second feature of a second comment by using the comment evaluation model; determining at least one similarity measure of the first comment and the second comment based on the first feature and the second feature; and in response to the first comment being marked with a corresponding actual degree of usefulness and the second comment not being marked with a corresponding actual degree of usefulness, updating the current values of the first set of parameters at least based on the at least one similarity measure so as to obtain updated values of the first set of parameters.

Abstract: An entity relationship processing method, an apparatus, a device and a computer readable storage medium are disclosed. In embodiments of the present disclosure, since a small amount of annotated data, namely, a small amount of annotated samples under some uncommon entity relationship classes are used, and segment features with a finer granularity are increased to characterize the to-be-processed text, it is possible to, based on the small amount of annotated samples of uncommon entity relationships, accurately predict uncommon entity relationships existing in the text, and thereby improve the recognition accuracy of the small amount of uncommon entity relationships.

Abstract: A method for building the synonymy discriminating model comprises: obtaining a text pair in training samples; using a word vector dictionary to obtain a quantization matrix of texts in the text pair; regarding the quantization matrix of respective texts as input of a convolutional neural network, regarding a synonymy annotation result corresponding to the text pair as output of the convolutional neural network, and training the convolutional neural network to obtain a synonymy discriminating model. The method for discriminating the synonymous text comprises: obtaining a text pair to be discriminated; using a word vector dictionary to obtain a quantization matrix corresponding to texts in the text pair; regarding the quantization matrix of the texts as input of a synonymy discriminating model, and determining a synonymy discrimination result of the text pair according to output of the synonymy discriminating model.

Abstract: Embodiments of the present disclosure provide a method and a device for evaluating a comment quality, an electronic device, and a computer readable storage medium. The method includes: selecting a metadata key associated with a comment of an object from metadata of the object, the metadata including a plurality of key-value pairs; determining a value corresponding to the metadata key based on the metadata; and evaluating the comment quality based on the comment and the value corresponding to the metadata key.

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: Embodiments of the present disclosure provide a method and apparatus for presenting information. The method may include: acquiring target release information and a comment information set associated with the target release information; and generating, for comment information in the comment information set, usefulness probabilities and predicted comment scores of the comment information based on the comment information and the target release information. The method may further include: presenting, based on obtained usefulness probability set and predicted comment score set, the comment information in the comment information set.

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 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: 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: A phage composition and use thereof in inactivating antibiotic resistance pathogenic bacteria are disclosed. The phage composition includes three phages, and the phages all have been deposited at the China Center for Type Culture Collection on Aug. 1, 2018. The phages are a phage ?YSZKA under Accession No. CCTCC M 2018513, a phage ?YSZKP under Accession No. CCTCC M 2018514, and a phage ?YSZPA under Accession No. CCTCC M 2018515, respectively. The present invention provides a remediation method by applying a specific bacteriophage stock solution into a contaminated soil-plant system to directionally infect and inactivate a combined contamination of resistance pathogenic bacteria in the system and synergistically remove antibiotic resistance genes. In addition, the functional diversity and stability of a soil ecological environment are significantly restored, after the remediation.

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: 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: 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: 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 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: A method for building the synonymy discriminating model comprises: obtaining a text pair in training samples; using a word vector dictionary to obtain a quantization matrix of texts in the text pair; regarding the quantization matrix of respective texts as input of a convolutional neural network, regarding a synonymy annotation result corresponding to the text pair as output of the convolutional neural network, and training the convolutional neural network to obtain a synonymy discriminating model. The method for discriminating the synonymous text comprises: obtaining a text pair to be discriminated; using a word vector dictionary to obtain a quantization matrix corresponding to texts in the text pair; regarding the quantization matrix of the texts as input of a synonymy discriminating model, and determining a synonymy discrimination result of the text pair according to output of the synonymy discriminating model.

Abstract: The present invention relates to a crystalline form of N-(3-fluoro-4-((7-(2-hydroxy-2-methylpropoxy)quinolin-4-yl)oxy)phenyl)-1,5-dimethyl-3-oxo-2-phenyl-2,3-dihydro-1H-pyrazole-4-carboxamide p-toluenesulfonate, the process for preparing the crystalline form thereof, and the pharmaceutical compositions comprising the crystalline form thereof. This invention also relates to a method of using such a crystalline form and pharmaceutical compositions comprising the crystalline form thereof in the treatment of hyperproliferative diseases in mammals, especially in humans.

Abstract: The present invention relates to a crystalline form of N-(3-fluoro-4-((7-(2-hydroxy-2-methylpropoxy)quinolin-4-yl)oxy)phenyl)-1,5-dimethyl-3-oxo-2-phenyl-2,3-dihydro-1H-pyrazole-4-carboxamide p-toluenesulfonate, the process for preparing the crystalline form thereof, and the pharmaceutical compositions comprising the crystalline form thereof. This invention also relates to a method of using such a crystalline form and pharmaceutical compositions comprising the crystalline form thereof in the treatment of hyperproliferative diseases in mammals, especially in humans.