scispace - formally typeset
Patent

Using context information to facilitate processing of commands in a virtual assistant

TLDR
In this article, a virtual assistant uses context information to supplement natural language or gestural input from a user, which helps to clarify the user's intent and reduce the number of candidate interpretations of user's input, and reduces the need for the user to provide excessive clarification input.
Abstract
A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

read more

Citations
More filters
Patent

Display screen or portion thereof with graphical user interface

TL;DR: Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation as discussed by the authors, which is the basis for the representation presented in this paper.
Patent

Intelligent Automated Assistant

TL;DR: In this article, an intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions.
Patent

Policy-Based Application Management

TL;DR: In this paper, an improved technique for managing enterprise applications on mobile devices is described, where each enterprise mobile application running on the mobile device has an associated policy through which it interacts with its environment.
Patent

Social-topical adaptive networking (stan) system allowing for group based contextual transaction offers and acceptances and hot topic watchdogging

TL;DR: Disclosed is a Social-Topical Adaptive Networking (STAN) system that can inform users of cross-correlations between currently focused-upon topic or other nodes in a corresponding topic.
Patent

Electronic Devices with Voice Command and Contextual Data Processing Capabilities

TL;DR: In this paper, an electronic device may capture a voice command from a user and store contextual information about the state of the electronic device when the voice command is received, such as a desktop computer or a remote server.
References
More filters
Book

Artificial Intelligence: A Modern Approach

TL;DR: In this article, the authors present a comprehensive introduction to the theory and practice of artificial intelligence for modern applications, including game playing, planning and acting, and reinforcement learning with neural networks.
Proceedings Article

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

TL;DR: This work presents iterative parameter estimation algorithms for conditional random fields and compares the performance of the resulting models to HMMs and MEMMs on synthetic and natural-language data.
Journal ArticleDOI

A translation approach to portable ontology specifications

TL;DR: This paper describes a mechanism for defining ontologies that are portable over representation systems, basing Ontolingua itself on an ontology of domain-independent, representational idioms.
Journal ArticleDOI

Indexing by Latent Semantic Analysis

TL;DR: A new method for automatic indexing and retrieval to take advantage of implicit higher-order structure in the association of terms with documents (“semantic structure”) in order to improve the detection of relevant documents on the basis of terms found in queries.
Book

Foundations of Statistical Natural Language Processing

TL;DR: This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear and provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations.