نتایج جستجو برای: 2 a dialogue component
تعداد نتایج: 14059369 فیلتر نتایج به سال:
For spoken dialogue systems, errors can occur on different levels of the system’s architecture. One of the principal causes for errors during a dialogue session are erroneous recognition results which often lead to incorrect semantic interpretations. Even if the speech input signal has been correctly recognized, a natural language understanding component can produce errorprone sentence meanings...
Teaching machines to accomplish tasks by conversing naturally with humans is challenging. Currently, developing taskoriented dialogue systems requires creating multiple components and typically this involves either a large amount of handcrafting, or acquiring costly labelled datasets to solve a statistical learning problem for each component. In this work we introduce a neural network-based tex...
A dialogue based Question Answering (QA) system for Railway information in Telugu has been described. Telugu is an important language in India belonging to the Dravidian family. The main component of our QA system is the Dialogue Manager (DM), to handle the dialogues between user and system. It is necessary in generating dialogue for clarifying partially understood questions, resolving Anaphora...
In this paper we describe our spoken english-persian medical dialogue translation system. We describe the data collection effort and give an overview of the component technologies, including speech recognition, translation, dialogue management, and user interface design. The individual modules and system are designed for flexibility, and to be able to leverage different amounts of available res...
We present an episodic memory component for enhancing the dialogue of artificial companions with the capability to refer to, take up and comment on past interactions with the user, and to take into account in the dialogue long-term user preferences and interests. The proposed episodic memory is based on RDF representations of the agent’s experiences and is linked to the agent’s semantic memory ...
The development of a spoken dialogue system requires the integration of the various components of spoken language technology, such as speech recognition, natural language processing, dialogue modelling, and speech synthesis. Recently several toolkits have been developed that provide support for this process, enabling developers who have no specialist knowledge of the component technologies to p...
Conversational spoken dialogue systems that interact with the user rather than merely 1 reading text can be equipped with hesitations to manage the dialogue flow and the users’ attention. 2 Based on a series of empirical studies, we built an elaborated hesitation synthesis strategy for 3 dialogue systems that inserts hesitations of scalable extent wherever needed in the ongoing 4 utterance. So ...
Until recently, surface generation in dialogue systems has served the purpose of simply providing a backend to other areas of research. The generation component of such systems usually consists of templates and canned text, providing inflexible, unnatural output. To make matters worse, the resources are typically specific to the domain in question and not portable to new tasks. In contrast, dom...
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