Applying Dialogue Breakdown Detection to Dialogue Systems
نویسندگان
چکیده
منابع مشابه
On Dialogue Breakdown: Annotation and Detection A report from the dialogue breakdown detection challenge
We organized the dialogue breakdown challenge, which is an evaluation workshop dedicated to the detection of breakdowns in Japanese human-machine chat-oriented dialogues. This paper reports analyses made on the breakdown annotation to the evaluation data used in the challenge and on behaviors of the detection systems submitted by six teams. The performances of the ensembles of the systems are a...
متن کاملApplying Preferences to Dialogue Graphs
An abstract framework for formalising persuasion dialogues has recently been proposed. The framework provides for a range of speech acts, and protocols of varying levels of flexibility. However, the framework assumes the availability of preference information relevant to determining whether arguments moved in a dialogue defeat each other. However, preference information may only become availabl...
متن کاملDialogue Systems & Dialogue Management
A spoken dialogue system (SDS) is a specialised form of computer system that operates as an interface between users and the application, using spoken natural language as the primary means of communication. The motivation for spoken interaction with such systems is that it allows for a natural and efficient means of communication. It is for this reason that the use of an SDS has been considered ...
متن کاملAnnotating Dialogue Acts to Construct Dialogue Systems for Consulting
This paper introduces a new corpus of consulting dialogues, which is designed for training a dialogue manager that can handle consulting dialogues through spontaneous interactions from the tagged dialogue corpus. We have collected 130 h of consulting dialogues in the tourist guidance domain. This paper outlines our taxonomy of dialogue act annotation that can describe two aspects of an utteranc...
متن کاملEvaluating Dialogue Strategies in Multimodal Dialogue Systems
Previous research suggests that multimodal dialogue systems providing both speech and pen input, and outputting a combination of spoken language and graphics, are more robust than unimodal systems based on speech or graphics alone (Andr ́e, 2002; Oviatt, 1999). Such systems are complex to build and signifi cant research and evaluation effort must typically be expended to generate well-tuned modu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2019
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.b-i64