Samsung Electronics Co., Ltd.

Junhwi Choi

Young-Seok Kim

Jehun Jeon

Sang Hyun Yoo

Jeong-Hoon Park

Sangsoo Lee

Hoshik Lee

Sanghyun Yoo

YoungSang Choi

Seongmin Ok

Jeong - Hoon Park

Seong Min Ok

Disclosed is an operation method of a neural network including a first network and a second network, the method including acquiring state information output from the first network based on input information, determining whether the state information satisfies a condition using the second network, iteratively applying the state information to the first network in response to determining that the state information does not satisfy the condition, and outputting the state information in response to determining that the state information satisfy the condition.

Operating method and training method of neural network and neural network thereof

A word embedding method and apparatus and a word search method are provided, wherein the word embedding method includes training a word embedding model based on characteristic information of a chemical substance, and acquiring an embedding vector of a word representing the chemical substance from the word embedding model, wherein the word embedding model is configured to predict a context word of an input word.

Word embedding method and apparatus, and word search method

A processor-implemented electronic device input method includes: identifying input items configured to receive information on a displayed screen, by performing either one or both of a layout analysis and an image analysis with respect to the screen; tagging one of the input items with a text token extracted from a speech recognition result of a speech signal; and inputting the tagged text token into the one of the input items.

Device and method with input

An electronic device and an method of the electronic device are provided, where the electronic device maintains a context that does not reflect a request for a secret conversation, in response to the request for the secret conversation being received from a first user, and generates a response signal to a voice signal of a second user based on the maintained context, in response to an end of the secret conversation with the first user.

Electronic device and method for conducting dialog

Disclosed is a dialogue management method and apparatus. The dialogue management method includes sequentially resolving an application domain to provide a service to a user, a function appropriate for an intent of a user from among functions of the application domain, and at least one slot to perform the function, adaptively determining an expression scheme of a dialogue management interface depending on a progress of the sequentially resolving, and displaying the dialogue management interface.

Dialogue management method based on dialogue management framework and apparatus thereof

Provided is a processor-implemented method of generating a natural language, the method including generating a latent variable from an embedding vector that corresponds to an input utterance, determining attention information related to the input utterance by applying the generated latent variable to a neural network model, and outputting a natural language response that corresponds to the input utterance based on the calculated attention information.

Method and apparatus with natural language generation

An out-of-service (OOS) sentence generating method includes: training models based on a target utterance template of a target service and a target sentence generated from the target utterance template; generating a similar utterance template that is similar to the target utterance template based on a trained model, among the trained models, and a sentence generated from an utterance template of another service; and generating a similar sentence that is similar to the target sentence based on another trained model, among the trained models, and the similar utterance template.

OOS sentence generating method and apparatus

Disclosed is a speech recognition method and apparatus, the method including two recognition processes, a first recognition process being performed using an acoustic model and a language model and a second recognition process being performed without distinguishing between the acoustic model and the language model in response to an accuracy of a result of the first recognition process not meeting a threshold. The apparatus including a processor configured to acquire a first text from a speech sequence using an acoustic model and a language model, determine whether an accuracy of the first text meets a threshold, and acquire a second text from the first text based on a parameter generated in acquiring the first text, in response to the accuracy of the first text being below the threshold.

Growing community of inventors

Seongnam-si, South Korea

Junhwi Choi