36 results about "Topic sentence" patented technology

Methods for generating jokes include coupling one or more servers with one or more databases having words stored therein; receiving text at the server(s) from an external source communicatively coupled with the server(s) through a telecommunications network; in response to receiving the text at the server(s): selecting one or more topic keywords of the topic sentence using the server(s); generating one or more punch words with the server(s) using words stored in the database related to the topic keyword(s); adding bridges to the punch word(s), using the server(s), to generate one or more jokes; communicating a signal to a first computing device through the telecommunications network using the server(s); and in response to receiving the signal at the first computing device, displaying or speaking one of the one or more jokes using the first computing device. Systems for generating jokes include networked computer components configured to carry out the methods.

The present invention provides an article generation method and device, and a computer storage medium. The method comprises: mining a content source based on user input demand information; extractingat least one topic dimension vector from the mined content source by using a specific topic generation model; performing topic sentence mining on the content source according to the at least one topicdimension vector extracted to obtain a topic sentence corresponding to the topic dimension vector; and splicing and synthesizing the topic sentence corresponding to the topic dimension vector to generate an article conforming to the matching requirement information.

Methods for generating jokes include coupling one or more servers with one or more databases having words stored therein; receiving text at the server(s) from an external source communicatively coupled with the server(s) through a telecommunications network; in response to receiving the text at the server(s): selecting one or more topic keywords of the topic sentence using the server(s); generating one or more punch words with the server(s) using words stored in the database related to the topic keyword(s); adding bridges to the punch word(s), using the server(s), to generate one or more jokes; communicating a signal to a first computing device through the telecommunications network using the server(s); and in response to receiving the signal at the first computing device, displaying or speaking one of the one or more jokes using the first computing device. Systems for generating jokes include networked computer components configured to carry out the methods.

Methods for generating jokes include coupling server(s) with database(s) having words stored therein; receiving text at the server(s) from an external source communicatively coupled with the server(s) through a telecommunications network; in response to receiving the text at the server(s): selecting one or more topic keywords of the topic sentence using the server(s); generating one or more punch words with the server(s) using words stored in the database related to the topic keyword(s); adding bridges to the punch word(s), using the server(s), to generate one or more jokes; communicating a signal to a first computing device through the telecommunications network using the server(s); and in response to receiving the signal at the first computing device, displaying or speaking the joke(s) using the first computing device. Systems for generating jokes include networked computer components configured to carry out the methods. The methods / systems may also be used for recognizing jokes.

In various embodiments, a method and an apparatus for extracting topic sentences of webpages are provided. The method comprises: obtaining candidate webpages, and a pre-built machine learning model, each candidate webpage contains multiple preselected candidate topic sentences, and each candidate topic sentence includes several word segments; determining word feature values that indicate importance levels of the word segments in each candidate webpage respectively, and inputting the word feature values to the machine learning model to obtain an importance value for each word segment; for each candidate webpage, determining a partial order value for each candidate topic sentence according to the importance values of the word segments included in the candidate topic sentence; and for each candidate webpage, selecting one of the plurality of candidate topic sentences that is associated with a partial order value larger than a preset threshold value as a target topic sentence of the candidate webpage.

The invention discloses a network public feelings collecting method; hot words are extracted from a network forum, related information documents are extracted according to the hot words to form a hot event document set which is related to the hot words; the key sentences in the hot event document set are clustered to obtain a plurality of view topic sentence sets on one hot event; then a feelingsword stock with different types is established, feelings marking is carried out on the feelings words of the key sentence in the view topic sentence set; the feelings tendency value of each key sentence is calculated according to the feelings marking; the feelings tendency value of each netizen on the view topic is calculated according to netizen ID mark of the key sentence to obtain the network public feelings about some hot event, thus achieving the collection of the network public feelings. The invention not only can effectively find the public feelings information in the network, but alsocan timely and accurately extract netizen view points aiming at concrete public feelings, and makes up the defect that the previous public feelings system can only find the public feelings information, but the view can not be analyzed.

An embodiment of the invention discloses a user query statement syntactic structure determining method and device. The method includes identifying the alignment relationship between the segmentation of the user query statements and the segmentation of preset webpage topic sentences; according to the alignment relationship and the syntactic structures of the webpage topic sentences, establishing the syntactic structures of the user query statements. According to the technical scheme, the syntactic structures of the user query statements can be captured in a manner of facilitating the subsequent processing, especially facilitating the subsequent measuring of correlation processing between the user query statements and webpage topic sentences to be matched.

The invention relates to a query-oriented multi-document automatic summarization method, comprising the following steps: preprocessing the query and the document; subjecting the preprocessed document to subject segmentation and semantic paragraph clustering to obtain subtopics; The sentences in each subtopic are expressed in the form of word frequency vectors, and the correlation between the query and the subtopic is calculated; according to the correlation between the query and the subtopic, the subtopics are screened, and the subtopics are sorted according to the importance of the subtopics, and the top T is selected. An important subtopic is obtained to obtain an ordered sequence of subtopics related to the query; representative sentences are cyclically extracted from the sequence of subtopics, and the representative sentences are connected to generate a summary. The method of the present invention uses the topic segmentation technology to make the abstract within a limited length range, including the more important information in the document set as much as possible, providing more targeted services, and adjusting the content of the abstract according to the user's query topic to realize the interaction with the user .

The invention discloses an automatic extraction method of a conversation text topic, comprising preprocessing conversation text data and detecting question-answer pairs in the preprocessed conversation text; segmenting topics of the conversation text, clustering language chunk groups after topic segmentation and extracting a topic sentence from the clustered language chunk groups. The conversation text topic is more accurate by adopting the extraction method, enabling a user to search or retrieve conversation records of interest from the extracted topic sentence, thereby improving the user experience.

The invention provides a field-oriented Chinese text topic sentence generation method, which is characterized in that it includes the following steps: facing the field text data set, establishing a corresponding field knowledge map, applying a deep neural network model to extract semantic information from the text, according to The topic sentence pattern classifies the text and finally generates the topic sentence of the text. The invention obtains the conceptual model of the data set and the characteristics of the content narrative mode by creating a domain knowledge map, and uses the deep learning model to label and classify the text data, and then generate the topic sentence of the text to realize knowledge-based query and statistics. This method has strong application applicability, and has a good effect of generating topic sentences for limited domain data sets.