Abstract:
A natural language question answering system and method, and a paraphrase module are provided. The natural language question answering system includes a conversion module configured to generate a plurality of modified questions by paraphrasing a user's question; a plurality of question answering engines configured to receive each of the user's question and the modified questions, and select candidate answers corresponding to each of the user's question and the modified questions; and a detection module configured to detect at least one among the selected candidate answers as an answer.
Abstract:
Provided are a system and method for answering a natural language question which show improved information retrieval performance. The system includes an index unit configured to analyze text of previously stored irregular documents and classify and index the irregular documents according to meanings of sentences or paragraphs, a database configured to receive and store the irregular documents indexed according to the meanings and transmitted from the index unit, a retrieval unit configured to extract an index word by semantically analyzing an input question and search the database for documents related to the extracted index word, and a provision unit configured to generate a correct answer to the question by analyzing the documents searched by the retrieval unit and provide the search results and the correct answer.
Abstract:
Provided are an opinion analyzing system and method that analyze an opinion change based on an elapse of time and provide an analysis result. The opinion analyzing system includes a user terminal configured to transmit an opinion analysis request signal including an opinion analysis target keyword and analysis target period information, and an opinion analyzing server configured to, when the opinion analysis request signal is received from the user terminal, collect text information including the opinion analysis target keyword from a database according to the opinion analysis request signal, and analyze the collected text information to generate a summary text of an opinion.
Abstract:
An apparatus for managing risk in social web media in a prediction-based manner is provided, and includes a risk vocabulary management unit, which extracts and manages vocabulary to be managed as pertaining to risk from social web content, a risk issue prediction analysis quality extraction unit, which performs language analysis and sensitivity analysis, a risk prediction modeling unit, which models risk prediction analysis, a risk detection and notification unit, which automatically detects and notifies the risk, a risk situation monitoring unit, which monitors in real time a risk state of a risk entity when an alarm is raised with respect to the detected risk, and a risk history management unit, which receives user feedback for monitored risk information and manages a record of a terminated risk situation.
Abstract:
Disclosed are a question answering system for structured knowledgebase using deep natural language question analysis, and a method thereof, the question answering system for structured knowledgebase using deep natural language question analysis includes a deep natural language question analysis unit configured to create a structure of a semantic frame by analyzing a natural language question that is input, a question-intermediate expression creation unit configured to create a question-intermediate expression of a lexicon level based on the semantic frame, a knowledgebase-specialized query creation unit configured to create a query used to search in knowledgebase that is a subject of search, based on the question-intermediate expression, and a knowledgebase search unit configured to find a correct answer in the knowledgebase that is subject of search based on the query, to provide an accuracy of the correct answer, a confidence of the correct answer and an evidence for the correct answer.
Abstract:
A system and method for constructing a morpheme dictionary based on an automatic extraction of a non-registered word is provided. A non-registered word is automatically extracted based on a language-independent non-registered word automatic extraction method, and performance of a dictionary and a morpheme analysis is verified based on an automatic estimation by constructing a morpheme dictionary based on the automatically extracted non-registered word. Since the morpheme dictionary is constructed using only a dictionary in which a final verification is passed and it is helpful to improve the performance, the morpheme analysis can be properly performed on the non-registered word of a new field or a new word which newly appears as time passes.
Abstract:
Disclosed is an apparatus for providing an accurate automatic language translation service. A user terminal according to an exemplary embodiment of the present invention includes a display unit to display a translation option setting menu for a user with respect to a source sentence of which a category is designated and to be translated; a user input unit to receive, from the user, an input on setting of a translation option; a communication unit to transmit the translation option to a translation server, and to receive a translation result from the translation server; and a control unit to control operations of the display unit, the user input unit, and the communication unit. According to the present invention, a translation service for multilingual multimedia through a natural styled highly precise automatic translation is enabled.
Abstract:
The language analysis method includes collecting an online document, performing coined word filtering on the collected document based on a predetermined coined word extraction pattern and a dictionary to extract a coined word candidate which corresponds to the coined word extraction pattern and is not registered in a coined stop word dictionary, performing morpheme analysis on the extracted coined word candidate to verify a coined word candidate which does not correspond to a predetermined part of speech and is not registered in a pre-stored morpheme dictionary, refining the coined word extraction pattern, based on a result of the verification and updating the verified coined word candidate in the coined stop word dictionary, and updating the verified coined word candidate in the morpheme dictionary, based on the result of the verification.
Abstract:
Provided is a natural language query answering method. The natural language query answering method includes generating a query axiom from an input query, generating answer candidates from the input query, filtering the answer candidates based on a similarity between the query axiom and the answer candidates, reasoning out the answer candidates by using at least one of an inductive reasoning method, a deductive reasoning method, and an abductive reasoning method, calculating reliability of the answer candidates, determining ranks of the answer candidates based on the calculated reliability, and comparing a threshold value with a reliability ratio of reliability of an answer candidate determined as No. 1 rank to reliability of an answer candidate determined as No. 2 rank, readjusting the determined ranks according to a result of the comparison, and detecting a No. 1 rank answer candidate, determined through the readjustment, as a final answer.
Abstract:
Disclosed is semantic frame operation, and disclosed are a text big data based semantic frame operating method including: collecting a predicate to be used as a semantic frame seed; configuring a synonym set for the collected predicate; collecting one or more examples in text big data in association with predicates included in the synonym set; extracting a semantic frame candidate by attaching a semantic case to the collected examples; performing error verification for the semantic frame candidate; and storing the semantic frame candidate subjected to the error verification as an extended semantic frame for the predicate, and an electronic device supporting the same.