| Patent application number | Description | Published |
| 20090076798 | Apparatus and method for post-processing dialogue error in speech dialogue system using multilevel verification - Provided are an apparatus and method for post-processing a dialogue error in a speech dialogue system using multilevel verification, in which both of a user's current utterance and a whole dialogue flow are taken into account through the multilevel verification including speech recognition results analysis, linguistic analysis, discourse analysis and dialogue analysis. As a result, various errors that may occur in the speech dialogue system are detected, and error post-processing appropriate to a detected error type is performed, so that speech recognition errors may be reduced. | 03-19-2009 |
| 20100138712 | APPARATUS AND METHOD FOR VERIFYING TRAINING DATA USING MACHINE LEARNING - An apparatus for verifying training data using machine learning includes: a training data separation unit for separating provided initial training data into N training data and N verification data, where N is a natural number; a machine learning unit for performing machine learning on the separated training data to generate a training model; an automatic tagging unit for automatically tagging an original text of the verification data using the generated training model to provide automatic tagging results; and an error determination unit for comparing the verification data to the automatic tagging results to determine error candidates of the training data. | 06-03-2010 |
| 20100145952 | ELECTRONIC DOCUMENT PROCESSING APPARATUS AND METHOD - An electronic document processing apparatus includes: a document set storage unit storing hash tables including hash values of documents to be processed; a content extraction unit for extracting body contents from a newly input electronic document; and a sentence separation unit for separating sentences from the extracted body contents. The apparatus further includes a duplicate document determination unit for converting the separated sentences into unique hash values by a hash algorithm, determining each of the separated checking if there is a duplicate sentence depending on whether or not there is a collision between the converted hash values and the hash values in the hash tables of the document set storage unit, and determining if the electronic document is a duplicate document based on the ratio of duplicate sentences to all of the sentences in the electronic document. | 06-10-2010 |
| 20100153094 | TOPIC MAP BASED INDEXING AND SEARCHING APPARATUS - A topic map based indexing apparatus analyzes community Q/A lists to acquire Q/A analysis information, removes redundant answers depending on the Q/A analysis information, removes insignificant answers based on the degree of reliability, ranks answer lists, and extracts the highest ranking answer as a best answer, to thereby store, in a community Q/A topic map, index information containing the community Q/A lists and the Q/A analysis information. A topic map based searching apparatus analyzes a user question to acquire question analysis information, searches similar questions from community Q/A lists belonging to a specific topic node of a pre-stored community Q/A topic map, ranks the searched similar questions depending on the question analysis information, removes redundant answers among answers to the ranked similar questions, ranks the answers, and extracts the highest ranking answer as a best answer. | 06-17-2010 |
| 20100153210 | APPARATUS AND METHOD FOR SELECTING ONLINE ADVERTISEMENT BASED ON CONTENTS SENTIMENT AND INTENTION ANALYSIS - The invention provides an apparatus and method for selecting an online advertisement. An apparatus for selecting an online advertisement based on contents sentiment and intention analysis includes a context analysis unit for analyzing a context of contents, a context matching advertisement recommendation unit for selecting an advertisement matching with the context of the contents from an advertisement database (DB) based on the result of the analyzed context, an sentiment information analysis unit for analyzing an sentiment object and sentiment information variously described in the contents based on the result of the analyzed context, an intention recognition unit for recognizing a writing intention of the contents, and an advertisement selection unit for excluding the selected advertisement for the contents or selecting an alternative advertisement depending on the result of the analyzed context, the result of the analyzed sentiment object and sentiment information and the recognized writing intention. | 06-17-2010 |
| 20100161416 | METHOD OF PROVIDING TARGETED ADVERTISEMENTS - A method of providing targeted advertisements, includes: generating an advertisement search result using a search query based on a user query or a recommended query; generating an advertisement search result on the basis of a user profile; integrating the advertisement search result generated on the basis of the user profile with the advertisement search result generated by using the search query; and presenting a recommended advertisement list on the basis of the integrated advertisement search result and advertisement information exposed to a user. | 06-24-2010 |
| 20110087484 | APPARATUS AND METHOD FOR DETECTING SENTENCE BOUNDARIES - Provided are an apparatus and a method for detecting sentence boundaries. The apparatus includes a sentence boundary candidate extracting unit, a document context analyzing unit, a sentence boundary candidate classifying unit, a sentence generating unit. The sentence boundary candidate extracting unit extracts a sentence boundary candidate from an input document. The document context analyzing unit extracts features from information on preceding and following contexts of the sentence boundary candidate. The features are used in two or more statistical algorithms. The sentence boundary candidate classifying unit classifies whether the sentence boundary candidate is a sentence boundary or not, using the features and the two or more statistical algorithms. The sentence generating unit extracts sentence units from the document based on a result of the classification of whether the sentence boundary candidate is a sentence boundary or not. | 04-14-2011 |
| 20110087656 | APPARATUS FOR QUESTION ANSWERING BASED ON ANSWER TRUSTWORTHINESS AND METHOD THEREOF - Provides is an apparatus for question answering based on answer trustworthiness including: an answer indexer that indexes documents of which document trustworthiness satisfying a threshold value among documents included in a document collection and stores it in a knowledge Bases; an answer candidate extractor that extracts answer candidate documents for a user's question from the knowledge Bases; an answer source trustworthiness measurement unit; an answer extraction strategy trustworthiness measurement unit; and a trustworthiness integrator that generates an answer candidate trustworthiness list by ranking the answer candidate documents on the basis of the document trustworthiness, the source trustworthiness, and the extraction strategy trustworthiness of the answer candidate documents. | 04-14-2011 |
| 20110137919 | APPARATUS AND METHOD FOR KNOWLEDGE GRAPH STABILIZATION - A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph. | 06-09-2011 |
| 20110145251 | SYSTEM AND METHOD FOR CONSTRUCTING NAMED ENTITY DICTIONARY - A system and method for constructing a named entity dictionary are disclosed. The method includes analyzing a structure of collected Web text, extracting tabulated or listed information from the Web text, extracting a named entity from the tabulated or listed information, categorizing the extracted named entity, and registering the categorized named entity in a named entity dictionary. | 06-16-2011 |
| 20110145264 | METHOD AND APPARATUS FOR AUTOMATICALLY CREATING ALLOMORPHS - A method of automatically creating allomorphs of a keyword, includes creating allomorph candidates of a search keyword using a user log and/or user session information when the search keyword is input; and extracting a related word for verification from a web document using a related word patter from to verify the allomorph candidates. Further, the method of automatically creating allomorphs of a keyword includes removing over-created and/or erroneous candidates from the allomorph candidates using the extracted related word for verification and creating allomorphs of the search keyword. | 06-16-2011 |
| 20110153654 | NATURAL LANGUAGE-BASED TOUR DESTINATION RECOMMENDATION APPARATUS AND METHOD - Disclosed herein is a natural language-based tour destination recommendation apparatus and method. The natural language-based tour destination recommendation apparatus includes a query analysis unit, a tour destination search unit, and a tour destination recommendation and provision unit. The query analysis unit performs linguistic analysis on a user's tour-related query and then extracting query analysis information to be used for figuring out the user's intention from a document index DB. The tour destination search unit searches a tour destination DB for one or more recommended tour destinations using the extracted query analysis information. The tour destination recommendation and provision unit provides the retrieved recommended tour destinations to the user. | 06-23-2011 |