Abstract: A conversation processing method and apparatus based on artificial intelligence, a device and a computer-readable storage medium. The disclosure embodiments, enable the user feedback information provided by conversation service conducted by the user to model conversation understanding system, then according to the user feedback information, perform adjustment processing for a service state of the model conversation understanding system, to obtain an adjustment state of the model conversation understanding system so that it is possible to execute the conversation service with the model conversation understanding system, based on the adjustment state.

Abstract: A method and apparatus for building a conversation understanding system based on artificial intelligence, a device and a computer-readable storage medium. In embodiments of the present disclosure, it is feasible to obtain the training feedback information provided by conversation service conducted by the user and the basic conversation understanding system, then according to the training feedback information, perform adjustment processing for a service state of the basic conversation understanding system, to obtain an adjustment state of the basic conversation understanding system. It is possible to perform data merging processing according to the training feedback information and the adjustment state of the basic conversation understanding system, to obtain model training data for building the model conversation understanding system.

Abstract: The present disclosure provides a method and apparatus for generating a competition commentary based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining commentator's words commentaries and structured data of historical competitions; generating a commentating model according to obtained information; during live broadcast of a competition, determining a corresponding words commentary according to the commentating model with respect to the structured data obtained each time. The solution of the present disclosure can be applied to reduce time delay and improve the accuracy of the commentaries.

Abstract: The present disclosure provides a method of building a sorting model, and an application method and apparatus based on the model. The method of building a sorting model comprises: obtaining, from a search log, a query including a relationship triple and a clicked title of a search result corresponding to the query, wherein the relationship triple includes a content word pair and a relationship word of the content word pair; obtaining training data using the obtained query, the clicked title corresponding to the query, and times of click of the clicked title; using the training data to train a neural network-based sorting model, the sorting model being used to sort sentences according to the sentences' description of a relationship of the content word pair.

Abstract: The present disclosure discloses an interaction method and apparatus based on artificial intelligence. A specific embodiment of the method comprises: receiving a current interactive statement entered by a user through a terminal; extracting at least one type of characteristic based on the current interactive statement and a previous interactive statement entered by the user; processing the at least one type of characteristic using a pretrained neural network model to determine whether an intent maintaining relationship exists between the current interactive statement and the previous interactive statement; and if the intent maintaining relationship exists, updating a limitation condition for the previous interactive statement using the current interactive statement, performing information retrieval using the previous interactive statement with the updated limitation condition, and pushing a retrieved retrieval result to the terminal. This embodiment reduces time spent in user entry.

Abstract: Provided are a language conversion method and device based on artificial intelligence, and a terminal. The language conversion method includes: receiving a language conversion request, wherein the language conversion request comprises a sentence to be converted, and the sentence to be converted comprises an original language word and a target language word; determining a plurality of candidate words each corresponding to the original language word according to a preset rule; determining a score of each of the plurality of candidate words when used in the sentence to be converted; and determining a target word corresponding to the original language word according to the score of each of the plurality of candidate words.

Abstract: An interactive searching method and apparatus are provided. The interactive searching method includes following steps. A query is obtained, and intention clarification information of the query is generated according to a history search log associated with the query and a predetermined semantic knowledge base to display on a client webpage in which the query is.

Abstract: The resent disclosure provides a method and an apparatus for translating based on artificial intelligence. With the method, the text to be translated from the source language to the target language is acquired, in which, the text includes the target language term and the source language term. The candidate terms for translating the source language term and confidences of the candidate terms are determined. The candidate terms are used to replace the corresponding source language term, and each candidate term is combined with the target language term, so as to obtain each candidate translation. A probability of forming a smooth text when the candidate term is used in the candidate translation is predicted. Then the target term is chosen to be recommended according to the language probabilities of the candidate translations and the confidences of the candidate terms.

Abstract: The present disclosure provides a method and an apparatus for establishing a sentence editing model and a sentence editing method and apparatus. The methods includes: obtaining queries and titles of clicked search results corresponding to the queries from search logs to form query-title pairs; forming training corpuses by taking a title in each of the query-title pairs as a sentence to be edited and taking a query in the query-title pair as an edited sentence; and training a translation model and a first language model using the training corpuses to obtain a sentence editing model including the translation model and the first language model; after obtaining a sentence to be edited, inputting the sentence to be edited to a sentence editing model to obtain an editing score of each candidate edited sentence; and selecting a candidate edited sentence having an editing score satisfying a preset requirement as an edited sentence.

Abstract: An information searching method and an information searching device are provided. The information searching method includes: receiving, at one or more computing devices, a first query from a client device, and obtaining, at the one or more computing devices an intention clarification guidance sentence according to the first query; receiving a second query updated according to the intention clarification guidance sentence; obtaining a search result according to the second query; and returning the search result to the client device.

Abstract: A method and a device for mobile searching based on artificial intelligence are provided in the present disclosure. The method includes: displaying a search box, and receiving a query inputted by a user via the search box; obtaining a search result according to the query, and displaying the search result on a search result page; after receiving a click instruction on the search result, displaying a context page corresponding to the search result; and after receiving a click instruction on a result in the search result or in the context page, displaying a content page corresponding to the result clicked. The method can break through the concept of PC search and provide a search method which is more suitable for a mobile search scene.

Abstract: The present disclosure provides a human-computer intelligence chatting method and device. The method includes: receiving a multimodal input signal, the multimodal input signal comprising at least one of a speech signal, an image signal, a sensor signal and an event driving signal; processing the multimodal input signal to obtain text data, and obtaining an intention of a user according to the text data; obtaining an answer corresponding to the intention of the user, and converting the answer to a multimodal output signal; and outputting the multimodal output signal.

Abstract: Proposed are a method and device for constructing an event knowledge. The method comprises: identifying text to obtain an event mining candidate sentence; dividing the event mining candidate sentence into syntax fragments; generating an event knowledge instance according to the syntax fragments and a preset event knowledge construction, in which the number of the event knowledge instances is equal to the number of verb-object fragments and subject-predicate fragments in the syntax fragments; obtaining an event mining target sentence according to the verb-object fragments and the subject-predicate fragments in the syntax fragments, dividing the event mining target sentence, and writing divided members into an event knowledge instance correspondingly, so as to accomplish construction of the event knowledge base.

Abstract: An interactive searching method and apparatus are provided. The interactive searching method includes following steps. A query is obtained, and intention clarification information of the query is generated according to a history search log associated with the query and a predetermined semantic knowledge base to display on a client webpage in which the query is.

Abstract: An interactive searching method and apparatus are provided. The interactive searching method includes following steps. A first query is received, an intention clarification guidance sentence is obtained according to the first query, a feedback corresponding to the intention clarification guidance sentence is received, a second query is generated according to the first query, the intention clarification guidance sentence and the feedback, and a search result is provided according to the second query.

Abstract: An interactive searching method and an interactive searching apparatus are provided. The interactive searching method includes following steps. A first query is obtained by a search engine, and a first parsing result of the first query is obtained by the search engine and a first search result associated with the first query is obtained according to the first parsing result and is returned by the search engine.

Abstract: An information searching method and an information searching device are provided. The information searching method includes: receiving, at one or more computing devices, a first query from a client device, and obtaining, at the one or more computing devices an intention clarification guidance sentence according to the first query; receiving a second query updated according to the intention clarification guidance sentence; obtaining a search result according to the second query; and returning the search result to the client device.

Abstract: Question paraphrases useful for systems such as natural language processing and information retrieval are ascertained by examining log data from a computer based information source such as an Internet search engine or a computer based encyclopedia.