40 results about "Grammatical relation" patented technology

A system and method for extraction of suggestions for improvement form a corpus of documents, such as customer reviews, are disclosed. A structured terminology provided or a topic includes a set of semantic classes, each including a set of terms. A thesaurus of terms relating to suggestions of improvement is provided. Text elements of text strings in the documents which are instances of terms in the structured terminology are labeled with the corresponding semantic class and text elements which are instances of terms in the thesaurus are also labeled. A set of patterns is applied to the labeled text strings to identify suggestions of improvement expressions. The patterns define syntactic relations between text elements, some of which are required to be instances of one of the terms in a particular semantic class or thesaurus. A set of suggestions for improvements is output based on the identified suggestions of improvement expressions.

A system for extracting ontological information from a body of text includes an input module configured to receive a verb phrase. The system also includes a parsing module configured to parse one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further includes a named-entity-recognition module configured to identify a subset of parsed sentences from the set of parsed sentences, identify a subset of noun phrases from the subset of parsed sentences, classify a first noun phrase in subset of noun phrases as an entity, and classify a second noun phrase in subset of noun phrases as a property. The system also includes a concept-extraction module configured to identify and output a conceptual relationship between the first entity and the first property based at least partially on grammatical relationship of the first entity and the first property.

The invention discloses a method and a system for instant messaging with visual messaging assistance. The method includes the following steps: constructing a picture database; extracting semantic key words based on text messages input by a user, and making an analysis to obtain grammatical relation between the key words; based on the extracted key words, selecting representative pictures in accordance with contexts of instant messaging from the picture database by utilizing context semantic clues and conspicuousness degree of pictures; reasonably arranging representative pictures to form visual information by utilizing grammatical relation between the key words, and transmitting the visual information together with the test messages to users of the other side. The invention further provides the system for instant messaging with visual messaging assistance, which combines the text messages for transmitting abstract concepts and the visual information for transmitting image concepts, helps users to better express themselves and understand the other side through complementation of the text messages and the visual information. Meanwhile, a machine translation module is also combined with the system for instant messaging with visual messaging assistance, and therefore, for users who speak different languages, the visual information and machine translation results can be jointly presented to users.

The invention provides a text style migration method based on grammatical constraints and a language model. The method comprises the following steps: firstly, extracting a grammatical relation graph Gx of an input sentence x by utilizing a Stanford dependency syntax toolkit; then, adding style information Sx of an original input sentence and style information Sy of an expected converted sentence to the grammar relationship graph Gx through a graph-transformer structure to obtain grammar relationship graphs G'x and G'y; and then reconstructing an input sentence x' through a structure of a crossgraph-transformer in combination with the grammatical relationship graph Gx of the original input sentence to obtain a sentence y 'after style migration. In order to better learn a graph-transformerstructure integrated with style information and a cross graph-transformer structure for learning and reconstructing a style migration sentence, the method also utilizes a language model to replace a traditional CNN classifier to guide the learning of the CNN classifier. Experiments on a corresponding data set in the mode show that compared with a previous text style migration method, semantic invariance can be better kept under the condition that sentence styles are changed.

The invention relates to a product comment implicit attribute recognition method based on manifold learning. After the product comment data is acquired from the internet, the following operations are carried out according to each comment sentence: the part-of-speech tagging and the grammar tagging are carried out, and explicit attributes and opinion words are extracted according to the grammatical relation; constructing a graph according to the co-occurrence relation and the semantic relation of the product attributes and the opinion words, and constructing a new space and reconstructing the relation graph by using the manifold learning method; and finally, deducing the implicit attributes according to the new graph so that product comments can be classified according to the attributes and the performance summaries and the detailed comments providing the product attribute granularity are presented. The product comment implicit attribute recognition method based on manifold learning has the advantage that the implicit attributes of the product comments without the attributes can be deduced according to the opinion words so that the product comment data can be classified according to the attributes. Due to the adoption of the product comment implicit attribute recognition method based on manifold learning, the use can browse the product comments according to the product attributes and focus on the product attributes interesting to the user, and the experience of the user can be improved.

The invention discloses a sentence exploring method which can be used for analyzing sentences and supporting learning of the analysis. According to the method, a sentence exploring data development tool and a sentence data player are set, so that an analyzing and exploring type sentence interaction learning application is realized; the method is realized on the basis of a background database and comprises the following steps of: understanding the sentence meanings, understanding words in the sentences, understanding the grammatical relation, understanding the functions of sentences in the context, transforming the sentence pattern according to the meaning expression, and performing word replacement according to the semantic relation. According to the sentence exploring method used for analyzing sentences and supporting learning of the analysis, sentence learning is performed by employing the sentence exploring method, so that sentence sound can be played, the sentences can be repeated read and followed, a learner can learn the structure and relationship between the inner words of the sentences and between the sentences through three different modes of playing, interacting and exploring, the grammatical knowledge in the sentences is further mastered, and the aim of flexibly using the sentences is fulfilled.

A general digital semantic database for mechanical language translation is provided. The database has vocabulary decomposed to part of speech characteristics and semantic characteristics to form inseparable basic semantic points. The vocabulary is regularly ordered according to classes of the semantic characteristic, part of speech characteristic, background and grammatical relation. Two or more languages are configured on the basic semantic points according to a synonymies relation. The languages are discretionarily interchanged based on the basic semantic points by a machine. The languages semantemes and syntax relation formula are configured in the semantic database to realize an automatic paginal translation.

The invention discloses a communication track expanding method and device. The communication track expanding method comprises the following steps of: extracting an original communication track file of each progress of an application program operating on one operation scale; matching attributes of atomic events in the original communication track file, determining a grammatical relation among the atomic events, organizing the atomic events according to the grammatical relation to form a grammatical event sequence; determining meanings and a relation of the atomic events in the grammatical event sequence, constructing an algorithm event according to a mutual relation of the grammatical events; operating the application on a plurality of different operation scales for multiple times to form a plurality of algorithm events; determining a relation among the algorithm events for reflecting relations between the communication track and the progress number and between the communication track and the inter-progress topology; and generating a target communication track file of the application operating on a target scale on the basis of the relation among the algorithm events. The embodiment of the invention also provides a communication track drive analogy method and system.

The invention relates to a natural language processing technology in artificial intelligence, in particular to a text recognition method and device, computer equipment and a storage medium, and can be applied to scenes such as electronic commerce, news information, microblog forum and vehicle-mounted recommendation. The method comprises the following steps: acquiring a grammatical relationship sequence of a to-be-recognized text; if the grammatical relationship sequence of the to-be-recognized text comprises at least two grammatical relationship sequences in preset grammatical relationship sequences, determining a feature word position tag in the to-be-recognized text according to one grammatical relationship sequence in the at least two grammatical relationship sequences; determining feature words in the to-be-recognized text according to the feature word position tags in the to-be-recognized text; and determining a text recognition result of the to-be-recognized text according to the feature words in the to-be-recognized text. By adopting the method, the determination accuracy of the feature words in the to-be-recognized text is improved, so that the text recognition accuracy is improved, and the effectiveness of a data analysis result of big data is ensured.

The invention discloses a vocabulary social network analysis method based on a social network principle. According to the method, social network development laws (extended type, contracted type, balanced type and isolated type) are applied to describe vocabulary relations in micro blog short texts, so that a novel vocabulary social network is constructed. The network reconstructs micro blog shorttexts with grammar and semantic relations into various vocabulary relations (parallel, subordination and the like). Vocabulary subnets are constructed on the basis of these relations, and the in-degree and out-degree ratio of each social node is calculated according to change of time sequences interacted among the subnets. The publish trend of micro blog short texts is analyzed according to the range of the ratios. For trans-language hybrid vocabulary social networks, micro blog short texts can be coded and inquired by combining semantic and grammatical relations of different languages. Besides, the research on the publish trend of the micro blog short text has higher reference value for accurately mastering the development of micro blog public opinions.

The invention relates to the technical field of artificial intelligence, and provides a text processing method based on a sentence vector pre-training model and related equipment, and the method comprises the steps: obtaining a target corpus text and a text processing task; performing word segmentation processing on the target corpus text to obtain a plurality of segmented words; constructing a sentence vector pre-training model comprising a grammatical relationship recognition layer and a grammatical relationship addition layer according to the task type of the text processing task; training a constructed sentence vector pre-training model corresponding to the task type of the text processing task according to the training set; and inputting the plurality of segmented words into the trained sentence vector pre-training model to obtain an execution result of the text processing task. According to the method, the grammatical relation recognition layer and the grammatical relation adding layer are added to the sentence vector pre-training model, the grammatical relation is fused into the target corpus text, input information during sentence vector extraction is enriched, better sentence vectors are obtained, and then the execution efficiency and accuracy of the text processing task are improved.

The invention provides an information processing method and device. The method comprises the following steps: according to preset grammatical units, carrying out biggest noun unit matching and/ or grammatical relation matching on keywords in a search request by aiming at a document in a preset database; according to a matching result of the biggest noun unit matching and/ or grammatical relation matching, determining relevancy between the document and the search request, wherein each preset grammatical unit in the document is provided with the grammatical relation which takes a biggest noun unit as a center; and according to the relevancy between each document and the search request, obtaining the document which serves as a search result. When the keywords are used for searching the document in the database, the document is selected according to the keywords searched in the document, a biggest noun unit matching result in the document and/ or a grammatical relation matching result in the document so as to search to obtain the document which has the high relevancy with the search request.

The invention discloses a learning teaching aid system displaying a corresponding graph according to language description. The learning teaching aid system comprises handheld equipment equipped with acolor screen, a microphone, a loudspeaker and a selection button, wherein the handheld equipment is provided with a built-in embedded control system; a built-in voice recognition chip which is connected on the embedded control system; and a preset teaching aid Android system which is provided with preset HTML5 and CSS3 drawing cores. Language description is converted into the image effect to be presented, the accuracy of description can be clearly and visually displayed and the learning process can be fed back in time; various non-logical grammatical relations in the daily language can be basically omitted under the premise of the requirement of using the specified keywords to describe the content so that the difficulty of voice recognition can be greatly reduced, the accuracy can be enhanced and the development cost can be reduced; and the content and the playing method can be continuously updated by updating the software and the keyword database so that the scheme has great education meaning and market value.

The embodiment of the invention discloses a text processing method, device and equipment. The method comprises the steps of obtaining a to-be-recognized target text; performing grammatical relationship analysis on the target text to obtain a target grammatical relationship sequence corresponding to the target text; matching the target grammar relationship sequence with each reference sequence modein a reference sequence mode set, and selecting a matching sequence mode matched with the target grammar relationship sequence; and obtaining a target grammatical relationship identifier behind the mth reference grammatical relationship identifier in the target grammatical relationship sequence, and determining a character corresponding to the target grammatical relationship identifier in the target text as a name character. According to the embodiment of the invention, the name entity can be better recognized from the text, and the name recognition accuracy is improved.

The invention provides a text processing method and device, electronic equipment and a storage medium. The method comprises the steps of generating a syntax tree of a to-be-processed text through a syntax tool; converting the syntax tree to obtain a syntax graph of the text to be processed; on the basis of the syntax graph, grammatical relations of characters in a to-be-processed text being coded, and obtaining grammatical relation feature data of the characters in the to-be-processed text; based on the grammatical relationship feature data of the characters and the obtained semantic feature data of the characters, performing grammatical enhancement processing on the grammatical relationship of the characters to obtain grammatical enhancement feature data of the characters; and performing rhythm boundary prediction and polyphone disambiguation on the characters based on the grammar enhancement feature data of the characters to obtain a rhythm boundary prediction result and a polyphone disambiguation result of the characters. According to the method and the device, while the accuracy of rhythm boundary prediction and polyphone disambiguation is considered, the text processing of the front-end module can be effectively simplified.

The embodiment of the invention relates to an aspect-level sentiment classification method. The method comprises the following steps: extracting feature information of aspect words and context of a to-be-analyzed text by adopting a bidirectional long-short-term memory network model to respectively obtain hidden layer representation of the aspect words and context hidden layer representation of the context; for the obtained hidden layer representation and context hidden layer representation, extracting context emotion feature information in direct grammatical relation with aspect words by adopting a graph convolutional network according to a syntax dependency tree, and obtaining context information feature representation fused with grammar dependency information; based on context information feature representation, utilizing an attention mechanism to learn interaction information of aspect words and the context, extracting emotion feature information making important contribution to aspect word emotion classification in the context, and predicting emotion polarity. Compared with a conventional classical text sentiment analysis method and a current mainstream method, the method provided by the embodiment of the invention has more ideal text sentiment analysis accuracy.

The invention provides an automobile maintenance record analysis method and device. The analysis method of the automobile maintenance record comprises the following steps: converting verb-free phrases in the automobile maintenance record into corresponding standard phrases based on a preset corresponding relation to obtain a first standard phrase set; filtering out verb-free phrases in the maintenance record; converting original verbs in the filtered maintenance records into corresponding standard verbs and original nouns into corresponding standard nouns, and combinding the standard verbs and the standard nouns according to a preset combination rule to obtain a second standard phrase set; based on the grammatical relationship, combining the original verbs and the original nouns in the filtered maintenance records to obtain original phrases, and determining standard phrases corresponding to the original phrases to obtain a third standard phrase set; and synthesizing the first standard phrase set, the second standard phrase set and the third standard phrase set, and determining an analysis result of the maintenance record. According to the invention, the efficiency and accuracy of automobile maintenance record analysis can be improved.

The invention discloses a question-answer pair search method, which comprises the following steps of extracting at least one key word from a question sentence and obtaining an expansion word of each key word and final similarity of each expansion word and the corresponding key word; analyzing a dependence relationship between every two lexical items with the grammatical relation in the question sentence; determining a distance weight capable of reflecting compact degree between every two lexical items in the question sentence according to an importance weight which is preset for the dependence relationship; determining correlation between every two lexical items in the question sentence according to the distance weight; determining a lexical item weight of each lexical item in the question sentence according to the correlation and searching a question-answer pair related to the question sentence according to the lexical item weight of each lexical item in the question sentence; computing a lexical item weight of each expansion word according to the final similarity of each expansion word and the corresponding key word and searching question-answer pair related to the question sentence according to the lexical item weight of each expansion word; and sorting and displaying all searched question-answer pairs according to a preset rule. The invention also discloses a community question-answer search system.