This chapter describes the Vidiam project, which covered the development of a dialogue management system for multimodal question answering (QA) dialogues, as carried out in the IMIX project. The approach followed was datadriven, i.e., corpus-based. Since research in QA dialogue of multimodal information retrieval is still new, no suitable corpora were available to base a system on. This chapter reports on the collection and analysis of three QA dialogue corpora, involving textual follow-up utterances, multimodal follow-up questions, and speech dialogues. Based on the data, a dialogue act typology was created, which helps translate user utterances to practical interactive QA strategies
The goal of building dialogue agents that can converse with humans naturally has been a long-standin...
NTT CorporationNTT CorporationNTT CorporationNTT CorporationNTT Data CorporationNTT Data Corporation...
The question answering systems monolingual or multilingual allow to look in a large collection of do...
This paper gives an overview of issues related to extending simple question answering (QA) with dial...
We are developing a dialogue manager (DM) for a multimodal interactive Question Answering (QA) syste...
One of the basic topics of question answering (QA) dialogue systems is how follow-up questions shoul...
Over the last several years, speech-based question answering (QA) has become very popular in contras...
In this paper, a proposal of a multi-modal dialogue system oriented to multilingual question-answeri...
Making machines interact viably with humans in natural language is part of the most elusive tasks to...
The processing of user follow-up utterances by a QA system is a topic which is still in its infant s...
Nowadays, the communication between human and machines have occurred, at most of the cases, throught...
This thesis presents work done during the last ten years on developing five multimodal spoken dialog...
This book offers a broad view on the interrelationships between humanmachine interaction, question a...
A framework for building interactive question answering (IQA) systems is proposed based on a frame r...
This paper reports on the creation of the multimodal NIMITEK corpus of affected behavior in human-ma...
The goal of building dialogue agents that can converse with humans naturally has been a long-standin...
NTT CorporationNTT CorporationNTT CorporationNTT CorporationNTT Data CorporationNTT Data Corporation...
The question answering systems monolingual or multilingual allow to look in a large collection of do...
This paper gives an overview of issues related to extending simple question answering (QA) with dial...
We are developing a dialogue manager (DM) for a multimodal interactive Question Answering (QA) syste...
One of the basic topics of question answering (QA) dialogue systems is how follow-up questions shoul...
Over the last several years, speech-based question answering (QA) has become very popular in contras...
In this paper, a proposal of a multi-modal dialogue system oriented to multilingual question-answeri...
Making machines interact viably with humans in natural language is part of the most elusive tasks to...
The processing of user follow-up utterances by a QA system is a topic which is still in its infant s...
Nowadays, the communication between human and machines have occurred, at most of the cases, throught...
This thesis presents work done during the last ten years on developing five multimodal spoken dialog...
This book offers a broad view on the interrelationships between humanmachine interaction, question a...
A framework for building interactive question answering (IQA) systems is proposed based on a frame r...
This paper reports on the creation of the multimodal NIMITEK corpus of affected behavior in human-ma...
The goal of building dialogue agents that can converse with humans naturally has been a long-standin...
NTT CorporationNTT CorporationNTT CorporationNTT CorporationNTT Data CorporationNTT Data Corporation...
The question answering systems monolingual or multilingual allow to look in a large collection of do...