Abstract: According to an embodiment, the information processing device includes a dividing unit that divides a first-type keyword into first-type words, and divides a text into second-type words; includes an extracting unit that extracts, from the text, at least either a word string in which the second-type word matching with the leading first-type word of the first-type keyword is included as the leading word, or a word string in which the second-type word matching with last first-type word of the first-type keyword is included as the last word; and includes a detecting unit that detects a second-type keyword based on at least either the degree of character similarity indicating the similarity in character between the word string and the first-type keyword, or the degree of composition similarity indicating the similarity in composition between the word string and the first-type keyword.

Abstract: According to one embodiment, an interaction apparatus includes an interaction apparatus includes a storage, a first extractor, a retriever, a generator, a second extractor and a register. The storage stores a problem and at least one solution for solving the problem. The first extractor extracts a target problem which is an expression regarded as the problem, from a first speech. The generator generates a first speech-prompting sentence prompting the user to make a speech including the target solution if the storage stores no target solution or if the user rejects the target solution. The second extractor extracts the target solution from a second speech which is a response of the user relating to the first speech-prompting sentence. The register registers, on the storage, the target problem and the target solution.

Abstract: According to one embodiment, a concept dictionary creation apparatus includes a task presentation unit, an expression acquisition unit and a concept set generator. The task presentation unit presents a task requesting that a first expression included in a sentence be changed to another expression of an identical concept under an intention of the sentence. The expression acquisition unit acquires a second expression entered in response to the task. The concept set generator generates a concept set based on the intention, the first expression and the second expression.

Abstract: According to one embodiment, a dialogue apparatus includes the following elements. The utterance database stores utterances and intentions. The model Generator generates a model for estimating an intention from the utterance database. The intention estimation unit estimates an intention of an utterance by referring to the model to generate an intention estimation result. The intention confirmation unit makes an inquiry to confirm a correct intention of the utterance in accordance with the intention estimation result. The utterance registration unit determines an intention of the utterance based on a response to the inquiry, and registers the utterance and the determined intention associated with the utterance in the utterance database.

Abstract: According to one embodiment, an interaction apparatus includes an interaction apparatus includes a storage, a first extractor, a retriever, a generator, a second extractor and a register. The storage stores a problem and at least one solution for solving the problem. The first extractor extracts a target problem which is an expression regarded as the problem, from a first speech. The generator generates a first speech-prompting sentence prompting the user to make a speech including the target solution if the storage stores no target solution or if the user rejects the target solution. The second extractor extracts the target solution from a second speech which is a response of the user relating to the first speech-prompting sentence. The register registers, on the storage, the target problem and the target solution.

Abstract: According to one embodiment, a sensitivity retrieval apparatus includes a storage, a receiving unit, a setting unit, a retrieval unit, an analysis unit and a presentation unit. The storage stores sensitivity expressions. The receiving unit receives a retrieval request sentence to retrieve. The setting unit sets an evaluation axis for a sensitivity word if the sensitivity word which is a part of the sensitivity expressions and which is included in the retrieval request sentence. The retrieval unit performs retrieval based on the retrieval request sentence. The analysis unit calculates analysis values for the requested content items based on the evaluation axis. The presentation unit presents at least one requested content item.

Abstract: According to one embodiment, a speech conversation support apparatus includes a division unit, an analysis unit, a detection unit, an estimation unit and an output unit. The division unit divides a speech data item including a word item and a sound item into a plurality of divided speech data items. The analysis unit obtains an analysis result. The detection unit detects, for each divided speech data item, at least one clue expression indicating one of an instruction by a user and a state of the user. The estimation unit estimates, if the clue expression is detected, playback data item from at least one divided speech data item corresponding to a speech uttered before the clue expression is detected. The output unit outputs the playback data item.

Abstract: Disclosed is a question answering method for answering a question by using a text database storing text data in conjunction with a speech database storing speech data. In this method, a speech signal of the question is received. A speech recognition for the speech signal is performed to obtain a speech recognition result including a recognition accuracy evaluation value. One of the text database and the speech database is selected by comparing the recognition accuracy evaluation value with a threshold value. Then, the selected database is searched for a search result. An answer to the question is generated based on the search result.

Abstract: Disclosed is a question answering method for answering to a question by using in conjunction with a text database storing text data and a speech database storing speech data. In this method, a speech signal of the question is received. A speech recognition for the speech signal is performed to obtain a speech recognition result including a recognition accuracy evaluation value. One of the text database and the speech database is selected by comparing the recognition accuracy evaluation value with a threshold value. Then, the selected database is searched for a search result. An answer to the question is generated based on the search result.