Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.