Download Natural Language Dialog Systems and Intelligent Assistants by G.G. Lee, H.K. Kim, M. Jeong, J.-H. Kim PDF

By G.G. Lee, H.K. Kim, M. Jeong, J.-H. Kim

This ebook covers cutting-edge subject matters at the sensible implementation of Spoken conversation platforms and clever assistants in daily functions. It offers clinical achievements in language processing that lead to the improvement of profitable purposes and addresses normal concerns concerning the advances in Spoken conversation structures with functions in robotics, wisdom entry and conversation. Emphasis is put on the subsequent subject matters: speaker/language acceptance, person modeling / simulation, overview of conversation process, multi-modality / emotion reputation from speech, speech information mining, language source and databases, laptop studying for spoken conversation structures and academic and healthcare applications.

Show description

Read Online or Download Natural Language Dialog Systems and Intelligent Assistants PDF

Similar user experience & usability books

Inhabited Information Spaces Living with your Data

In an period while expanding numbers of individuals are engaging in examine and interacting with each other during the web, the learn of ? Inhabited info areas? is geared toward encouraging a extra fruitful alternate among the clients, and the electronic info they're gaining access to. Introducing the hot and constructing box of Inhabited details areas, this booklet covers every kind of collaborative platforms together with digital environments and newer options comparable to hybrid and augmented real-world structures.

Digital Ecosystems

This booklet constitutes the completely refereed post-conference court cases of the 3rd overseas convention on electronic Eco-Systems, OPAALS 2010, held in Aracaj? , Sergipe, Brazil in March 2010. The papers hide themes from Social technology, laptop technological know-how and from ordinary technological know-how. those contain social networks, social applied sciences, electronic ecosystems, wisdom administration, context-aware scenario and electronic ecosystems, Lie workforce research, confident dynamical areas, and interplay computing.

Multimodal User Interfaces: From Signals to Interaction (Signals and Communication Technology)

The place multimodal sign processing meets multimodal human laptop interplay. .. sign Processing (SP) and Human-Computer interplay (HCI), extremely popular clinical parts, are introduced jointly to supply ideas to a sequence of serious demanding situations within the box of multimodal interfaces. concentration is on multimodal interfaces that reply successfully to speech, gestures, imaginative and prescient, haptics and direct mind connections making the most of contemporary advancements in either HCI and SP.

Semantic Models for Adaptive Interactive Systems

Supplying insights into methodologies for designing adaptive structures in line with semantic facts, and introducing semantic types that may be used for construction interactive platforms, this publication showcases some of the functions made attainable by way of semantic versions. Ontologies may possibly increase the practical insurance of an interactive method in addition to its visualization and interplay features in numerous methods.

Additional resources for Natural Language Dialog Systems and Intelligent Assistants

Example text

Markov decision processes (MDPs) and POMDPs are the most successful and now widely used to model and train dialogue managers (Roy et al. 2000; Levin et al. 2000; Williams and Young 2007; Young et al. 2010; Yoshino et al. 2013). These approaches allow us to consider all possible future actions of a dialogue system and thus to obtain a new optimal dialogue strategy which could not be anticipated in conventional hand-crafted dialogue systems. The conventional scheme for goal-oriented systems assumes that the task and dialogue goal are clearly defined and readily encoded in the reinforcement learning (RL) reward function.

However, switching a domain or application by accident reduces user satisfaction and task success rate enormously. Therefore, efficient error recovery strategies need to be applied. In an online study, we evaluated three different machine-led error recovery strategies for in-car infotainment systems. They are varied first in terms of modality (visual and speech) and second in using contextual information. By comparing the strategies, we figured out that asking novice users an open question does not work and they prefer to select the domain from a list of alternatives.

The effect on task success is even worse, only around 20 % of the participants reached their goal. In AU there is no significant difference concerning usability. However, task success identified problems in terms of identification of the right application for information retrieval tasks. ” AU and DC strategy may perform better with expert users, but for novice users their success depends on task type and context. 3 Presentation with Different Modalities (Hypothesis 3) As REF and AU do not require to present any visual information to the user, only DLS and DC are compared.

Download PDF sample

Rated 4.35 of 5 – based on 49 votes