96 results about "Natural language sentence" patented technology

The present invention relates to an information generation and retrieval apparatus based on a standardized format of sentence structure and semantic structure and a method thereof and a computer readable recording medium for recording a program for implementing the method. The method for generating and retrieving information for use in an apparatus for generating and retrieving information based on standardized formats of sentence structure and semantic structure, comprises a first step of transforming a natural language sentence (information and knowledge) described by a information provider to a conceptual graph depending on standardized formats of sentence structure and semantic structure and indexing the conceptual graph; and a second step of transforming a natural language query sentence inputted from a user to a conceptual graph depending on the standardized formats of sentence structure and semantic structure and searching information relevant to the requirement of the user among the indexed information.

An improved system and method for revising natural language parse trees is provided. A revision dependency parser may learn a set of transformation rules that may be applied to dependency parse trees generated by a base parser for revising the dependency parse trees. A corpus of natural language sentences and a set of correct dependency parse trees may be used to train a revision dependency parser to correct dependency parse trees generated by the base parser. A revision engine may compare the dependency parse trees produced by the base parser with the correct ones present in the training data to produce an observation-rule pair for each dependency. A rule may specify a transformation on the predicted dependency parse tree generated by the base parser to replace an incorrect dependency with a corrected dependency or may change the type of dependency expressed for the grammatical function of the dependent word.

Systems and methods for classifying natural language (NL) sentences using a combination of NL algorithms or techniques is disclosed. Each NL algorithm or technique may identify a different similarity trait between two or more sentences, and each may help compare the meaning of the sentences. By combining the various similarity factors, preferably by various weighting factors, a distance metric can be computed. The distance metric provides a measure of the overall similarity between sentences, and can be used to assign a sentences to an appropriate sentence category.

Related free-text documents, a corpus, are used to empirically derive a semantic knowledge base through a method in which documents are segmented into unique sentences, and then used to define sentential propositions which are arranged in a knowledge hierarchy. The method takes compound natural language sentences and transforms them to simple sentences by a process that is a part of the invention. A knowledge editor enables a domain expert using the methods of the invention to map the sentences in the corpus to sentential proposition(s). The resulting knowledge base can be used to semantically analyze documents in data mining and decision support applications, and can assist word processors or speech recognition devices. The invention is illustrated in connection with radiology reports, but it has wide applicability.

A structured natural language query and knowledge system is provided to allow a user who lacks programming skills to enter a database query or a rule in the form of a structured natural language sentence. The scope of the sentence is preferably defined by an improved object relational query language, an object relational algebra, or both. Command and conditions that appear in natural language form are defined with corresponding formal query texts. A user is prompted to compose a structured natural language sentence using the defined commands and conditions. The user-selected command and its arguments appear as the verb phrase of a structured natural language sentence. The user-selected conditions and their parameters appear as the adjective phrases of the sentence. The sentence is parsed and changed into a translated formal query text for formal database query and rule processing.

A method and apparatus are presented for using directed reasoning to provide natural language responses to questions and commands in natural language. The directed reasoning process uses concepts in the natural language sentence to identify relevant response concepts in a knowledge base, by creating a continuous chain of logic from the input concept to the response concept and limiting the creation of the logic chains to only those consistent with the context of the natural language sentence and information in the knowledge base. The invention allows the identification of relevant concepts that elude traditional concept searching based on pattern matching, while focusing computational resources on only those logic calculations relevant to the natural language sentence and knowledge base. The invention will automatically identify the relevant source documents to use and create a knowledge base during run time, without requiring preprogrammed ontologies or knowledge bases.

To enable a user to perform, by using an ontology, an information search utilizing a meaning given to information on a network by Semantic Web without being required to perform complicated operations for forming an inquiry sentence in conformity with the ontology. In a stage before a search engine for performing an information search by using an ontology is provided an information search supporting system having a morpheme analysis section, a syntactic and semantic analysis section, and a conversion execution section which converts a natural language sentence on which syntactic analysis and semantic analysis have been performed into an inquiry sentence described in an ontology description language by referring to a case frame ontology dictionary in which are stored information indicating to which property in an ontology does the relationship among a predicate, a subject and an object in the natural language sentence correspond and the case frame of the natural language sentence in the property. A natural language sentence is input and an inquiry sentence described in the ontology language is formed on the basis of the results of syntactic analysis and semantic analysis on the natural language sentence and is provided to the search engine.

Classification of sequences, such as the translation of natural language sentences, is carried out using an independence assumption. The independence assumption is an assumption that the probability of a correct translation of a source sentence word into a particular target sentence word is independent of the translation of other words in the sentence. Although this assumption is not a correct one, a high level of word translation accuracy is nonetheless achieved. In particular, discriminative training is used to develop models for each target vocabulary word based on a set of features of the corresponding source word in training sentences, with at least one of those features relating to the context of the source word. Each model comprises a weight vector for the corresponding target vocabulary word. The weights comprising the vectors are associated with respective ones of the features; each weight is a measure of the extent to which the presence of that feature for the source word makes it more probable that the target word in question is the correct one.

The invention discloses a semantic character labeling method of a natural language sentence, which is characterized in that Chinese syntax analysis and semantic character label are simultaneously realized by adopting a combined learning model. The invention can simultaneously output the syntax analysis result of one sentence and gives the semantic role labeling result of a predicative by using a combined model. Because semantic information is increased in a syntax analysis model in the combined learning model, a model trained is particularly suitable for a semantic role labeling task. Therefore, the semantic role label output by the model has high performance. Meanwhile, the performance between the result output by a single syntax analysis model and the syntax analysis result output by the combined model is not large. Particularly, the syntax analysis performance can also be improved by adding semantic information.

The invention discloses a method for constructing a semantic relation tree for natural language sentences, which is characterized in that the construction method comprises the following steps: a shortest path enclosure tree is firstly constructed for two entities required to establish the semantic relation tree in a sentence; if the structure type between the two entities is not of a predicative connecting structure, the shortest path enclosure tree is the semantic relation tree required; and if the structure between the two entities is the predicative connecting structure, a path enclosure tree related to a context is obtained through context information related to expansion and predicative to be taken as the semantic relation tree. The semantic relation tree obtained by using the method can not only cover key structural syntax information, but also reduce unnecessary noise and improve the performance of relation extraction on the premise that the relation extraction speed is almost not influenced. The result is universal through being compared by adopting the semantic relation tree.

A device for relation extraction in a natural language sentence having n words is suggested, the device comprising: a recurrent neural network for joint entity and relation extractions of entities and relations between the entities in the sentence, and an entity-relation table for storing entity labels for the entities and relation labels for the relations, wherein both the entity labels and the relation labels are defined as instances of binary relationships between certain words w_i and w_j in the sentence, with i∈[1, . . . , n], and j∈[1, . . . , n], wherein each of the entity labels is a first binary relationship for i=j, and wherein each of the relation labels is a second binary relationship for i≠j, wherein the recurrent neural network is configured to fill the cells of the entity-relation table and includes a forward neural network and a backward neural network.

One embodiment of the present method and apparatus for natural language generation enables a language generation system to generate a grammatically correct natural language sentence by retrieving and adapting one or more stored sentences having semantic features similar to semantic features of a system-generated semantic representation. The retrieval of stored sentences is guided at least in part by the ease with which the stored sentences may be adapted to produce a grammatically correct sentence, enabling rapid generation of accurate output.

A method for analyzing a natural language sentence describing an action, to create an action structure to be used in creating an animation of the action, the method comprising: processing the natural language sentence to create a grammatical tree comprising an action word and its associated values; providing constructs for the action word, each of the constructs having parameter types for defining the action expressed by the action word; identifying from the constructs at least one construct wherein at least one of the parameter types can take on at least one of the associated values thereby defining a matching value; and recording the at least one of the parameter types from the at least one construct as well as the matching value, thereby creating the action structure.

A method, computer program product, and apparatus for parsing consecutive sentences which includes tokenizing the words of the sentence and putting them through an iterative inductive processor. The processor has access to at least a first and second set of rules. The rules narrow the possible syntactic interpretations for the words in the sentence. After exhausting application of the first set of rules, the program moves to the second set of rules. The program reiterates back and forth between the sets of rules until no further reductions in the syntactic interpretation can be made. Thereafter, deductive token merging is performed if needed.

The invention discloses a method and a system for generating attention remote sensing image description based on high-low layer feature fusion. The method comprises the following steps: acquiring a to-be-detected remote sensing image; and obtaining natural language sentence description of the to-be-detected remote sensing image based on the to-be-detected remote sensing image and a pre-trained image description model, wherein the image description model is constructed by an encoder constructed by using a convolutional network, attention of high and low layer feature fusion and a decoder constructed by using a cyclic recursive network. According to the technical scheme provided by the invention, local detail information of image shallow features and global semantic information of high-levelfeatures are fully utilized, and global and local double consciousness is given to a traditional attention mechanism, so that semantic content expressed by the image and the mutual relation between the semantic content and the natural language sentence are understood more accurately, and the natural language sentence description with accurate content is generated for the remote sensing image.

The invention discloses a dual-attention natural language inference method with context perception, for natural language sentence pairs with contextual information, using the method of multimodal learning and attention mechanism, take full advantage of that text, In order to understand the semantics of sentences and the interaction between two sentences under such semantics, and then to judge whether there is an inference relationship between two sentences, a method of sentence semantic representation is provided, which makes up for the shortcomings of the existing methods that do not considerthe situation of sentences.