Objective
Spoken dialog systems (SDS) have made great progress over the last 10 years. Their use has become wide-spread in many areas, especially call center automation, but also for interacting with car- based dialog systems or robots, for example. Despite this progress, significant challenges remain: human-machine communication is in practice quite different from human-human communication.
We will address dialog management, a core task for spoken dialog systems that deals with making an action decision, and extend the approach to include language understanding and generation in a complete spoken dialog system. The objective of CoreDial project is to provide a constructive proof that corpus-based statistical methods can be combined with reinforcement learning for dialog management. Both methods will be used as (re)ranking methods for lexically realized dialog moves that are generated by a constraint-based, overgenerating core system. This involves several components (and thus sub-goals/objectives):
a) Constraint-based core dialog manager and generator using syntactic mechanisms to produce lexically realized dialog moves,
b) Corpus-based statistical ranker employing a novel dialog language model that uses methods from statistical machine translation,
c) Reinforcement Learning based (re)-ranker to optimize the overall dialog and in particular handle noise, e.g. deciding about clarification questions,
d) Dialog system architecture and statistical model combination to integrate the components.
This system and its evaluation will be the main result of the project.
The Reintegration Grant will allow the applicant to integrate himself into the host organization, maintain links to the current Marie Curie host, and prepare himself for his future professional development.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- humanities languages and literature general language studies
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2010-RG
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
14469 Potsdam
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.