Abstract: An utterance data generating device providing a dialogue device, a training device and an utterance data generating device that enable highly efficient generation of cache data in a dialogue device, includes: a cache data generating device generating, from each of a plurality of passages, cache data including an utterance word sequence forming a response utterance to an input utterance and a key word sequence to be a key for searching for an utterance word sequence; and a cache data storage device storing the cache data generated by the cache data generating device in a manner at least allowing reading by using the key word sequence as a key.

Abstract: A language model training device, independent of speech synthesis and speech recognition performances, allowing training of a large-scale language model at low computational cost, includes: a converting means for converting natural language text to output a sequence of phonetic letters; and a training means for training a language model using the text and the sequence of phonetic letters output from the converting means.

Abstract: A training data generator and a training device include: a supposed input storage storing a plurality of supposed inputs supposed as inputs to a dialogue apparatus; expanded causality DB storing a plurality of causality expressions; a training data preparing unit extracting, for each of the plurality of supposed inputs stored in supposed input storage, a causality expression having a prescribed relation with said supposed input from the plurality of causality expressions, for forming a training data sample having the supposed input as an input and the extracted causality expression as an answer and storing in a training data storage; and a training unit training a response generating neural network designed to generate an output sentence to a natural language input sentence, by using the training data samples stored in training data storage.

Abstract: A summary generating apparatus includes a text storage device storing text with information indicating a portion to be focused on; word vector converters vectorizing each word of the text and adding an element indicating whether the word is focused on or not to the vector and thereby converting the text to a word vector sequence; an LSTM implemented by a neural network performing sequence-to-sequence type conversion, pre-trained by machine learning to output, in response to each of the word vectors of the word vector sequence input in a prescribed order, a summary of the text consisting of the words represented by the word sequence; and input units inputting each of the word vectors of the word vector sequence in the prescribed order to the neural network.

Abstract: A credibility determining system enabling highly accurate credibility determination of given information includes causal relation knowledge DB 90 and search scope constraint DB 88. Causal relation knowledge each includes a combination of cause and result parts, and time and position constraints associated with the causal relation.

Abstract: A summary generating apparatus includes; a text storage device storing text with information indicating a portion to be focused on; word vector converters vectorizing each word of the text and adding an element indicating whether the word is focused on or not to the vector and thereby converting the text to a word vector sequence; an LSTM implemented by a neural network performing sequence-to-sequence type conversion, pre-trained by machine learning to output, in response to each of the word vectors of the word vector sequence input in a prescribed order, a summary of the text consisting of the words represented by the word sequence; and input units inputting each of the word vectors of the word vector sequence in the prescribed order to the neural network.

Abstract: A credibility determining system enabling highly accurate credibility determination of given information includes causal relation knowledge DB 90 and search scope constraint DB 88. Causal relation knowledge each includes a combination of cause and result parts, and time and position constraints associated with the causal relation.