Abstract: An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Abstract: An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Abstract: An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Abstract: An operation method of a dialog agent includes obtaining an utterance history including at least one of an outgoing utterance to be transmitted to request a service or at least one of an incoming utterance to be received to request the service, updating a requirement specification including items requested for the service based on the utterance history, generating utterance information to be used to request the service based on the updated requirement specification, and outputting the generated utterance information.

Abstract: Disclosed are a method for processing a dialog based on processing instructing expression in a multi-modal environment and an apparatus therefor. The method for processing a dialog in an information processing device capable of processing digital signals includes the steps of: extracting an instructing expression from an inputted sentence; generating an intermediate instructing expression representing the modifying relations between the words constituting the extracted instructing expression; and searching the object corresponding with the intermediate instructing expression in a predetermined object search range. Thus, a terminal can be effectively and conveniently used without separately clarifying various instructing expressions representing things or objects with the terminal.

Abstract: Disclosed are a speech recognition error correction method and an apparatus thereof. The speech recognition error correction method includes determining a likelihood that a speech recognition result is erroneous, and if the likelihood that the speech recognition result is erroneous is higher than a predetermined standard, generating a parallel corpus according to whether the speech recognition result matches the correct answer corpus, generating a speech recognition model based on the parallel corpus, and correcting an erroneous speech recognition result based on the speech recognition model and the language model. Accordingly, speech recognition errors are corrected.

Abstract: Disclosed are a method for processing a dialogue based on processing instructing expression in a multi-modal environment and an apparatus therefor. The method for processing a dialogue in an information processing device capable of processing digital signals includes the steps of: extracting an instructing expression from an inputted sentence; generating an intermediate instructing expression representing the modifying relations between the words constituting the extracted instructing expression; and searching the object corresponding with the intermediate instructing expression in a predetermined object search range. Thus, a terminal can be effectively and conveniently used without separately clarifying various instructing expressions representing things or objects with the terminal.

Abstract: According to the present invention, a method for searching for information using the Web and a method for voice conversation using same involve generating a basic word vector for at least one of a provided user query and a language analysis result; using the basic word vector, searching a vector space database for a vector space corresponding to the basic word vector; searching, if a similarity between the basic word vector and the found vector space is lower than a preset reference, a vector space database for a vector space corresponding to an expanded word vector using the expanded word vector generated from the result of the Web search performed using at least one of the user query and the language analysis result; and searching for knowledge information on the basis of the vector space found in the basic searching step or the expanded searching step. Thus, improved research results may be provided in response to the user query.

Abstract: A server and method for correcting an error of a voice recognition result are provided. The method includes, in response to recognizing a user voice, determining a pattern of parts of speech of text data corresponding to the recognized user voice; comparing a prestored standard pattern of parts of speech with the pattern of parts of speech of text data; detecting an error region of the recognized user voice based on a result of the comparing; and correcting the text data corresponding to the detected error region.

Abstract: Provided are a method and an apparatus for constructing an ontology for a dialogue system. The method for constructing an ontology for a dialogue system includes: generating a domain ontology plane based on intra-plane relation information of a domain defining a relationship between a plurality of domain nodes; generating a main act ontology plane based on intra-plane relation information of a main act defining a relationship between a plurality of main act nodes; and generating an entity name ontology plane based on intra-plane relation information of an entity name defining a relationship between a plurality of entity name nodes. Therefore, it is possible to construct multiple ontology planes and discriminate components of dialogue frames such as a domain, a main act and an entity name. Also, an effective system response can be performed by discriminating dialogue frames exactly using the multi ontology planes.

Abstract: Disclosed are a speech recognition error correction method and an apparatus thereof. The speech recognition error correction method includes determining a likelihood that a speech recognition result is erroneous, and if the likelihood that the speech recognition result is erroneous is higher than a predetermined standard, generating a parallel corpus according to whether the speech recognition result matches the correct answer corpus, generating a speech recognition model based on the parallel corpus, and correcting an erroneous speech recognition result based on the speech recognition model and the language model. Accordingly, speech recognition errors are corrected.

Abstract: According to the present invention, a method for searching for information using the Web and a method for voice conversation using same involve generating a basic word vector for at least one of a provided user query and a language analysis result; using the basic word vector, searching a vector space database for a vector space corresponding to the basic word vector; searching, if a similarity between the basic word vector and the found vector space is lower than a preset reference, a vector space database for a vector space corresponding to an expanded word vector using the expanded word vector generated from the result of the Web search performed using at least one of the user query and the language analysis result; and searching for knowledge information on the basis of the vector space found in the basic searching step or the expanded searching step. Thus, improved research results may be provided in response to the user query.