We build a model for speech disfluency detection based on conditional random fields (CRFs) using the Switchboard corpus. This model is then applied to a new domain without any ada...
In this paper we propose a new technique to enhance emotion recognition by combining in different ways what we call emotion predictions. The technique is called F2 as the combinat...
Multimodal conversational dialogue systems consisting of numerous software components create challenges for the underlying software architecture and development practices. Typical...
Raul Santos de la Camara, Markku Turunen, Jaakko H...
In this paper, which addresses smooth spoken interaction between human users and conversational agents, we present an experimental study that evaluates a method for user-adaptive ...
The present study uses the dialogue paradigm to explore route communication. It revolves around the analysis of a corpus of route instructions produced in real-time interaction wi...
We point out several problems in scalingup statistical approaches to spoken dialogue systems to enable them to deal with complex but natural user goals, such as disjunctive and ne...
Commonly used coreference resolution evaluation metrics can only be applied to key mentions, i.e. already annotated mentions. We here propose two variants of the B3 and CEAF coref...
We introduce a novel approach for robust belief tracking of user intention within a spoken dialog system. The space of user intentions is modeled by a probabilistic extension of t...
Neville Mehta, Rakesh Gupta, Antoine Raux, Deepak ...
In this paper we motivate and describe a dialogue manager which is able to infer and negotiate causal implicatures. A causal implicature is a type of Gricean relation implicature,...
In this paper we present a framework for spoken recommendation systems. To provide reliable recommendations to users, we incorporate a review summarization technique which extract...