A Multiparty Conversation System with an Addressee Identification Mechanism based on Nonverbal Information
نویسندگان
چکیده
منابع مشابه
A comparison of addressee detection methods for multiparty conversations
Several algorithms have recently been proposed for recognizing addressees in a group conversational setting. These algorithms can rely on a variety of factors including previous conversational roles, gaze, and type of dialogue act. Both statistical supervised machine learning algorithms as well as rule based methods have been developed. In this paper, we compare several algorithms developed for...
متن کاملCatching wind of multiparty conversation
The paper describes the design of a novel corpus of respiratory activity in spontaneous multiparty face-to-face conversations in Swedish. The corpus is collected with the primary goal of investigating the role of breathing for interactive control of interaction. Physiological correlates of breathing are captured by means of respiratory belts, which measure changes in cross sectional area of the...
متن کاملAddressee and Response Selection for Multi-Party Conversation
To create conversational systems working in actual situations, it is crucial to assume that they interact with multiple agents. In this work, we tackle addressee and response selection for multi-party conversation, in which systems are expected to select whom they address as well as what they say. The key challenge of this task is to jointly model who is talking about what in a previous context...
متن کاملCharacter Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows
This paper introduces a subtask of entity linking, called character identification, that maps mentions in multiparty conversation to their referent characters. Transcripts of TV shows are collected as the sources of our corpus and automatically annotated with mentions by linguistically-motivated rules. These mentions are manually linked to their referents through crowdsourcing. Our corpus compr...
متن کاملLaugher and Topic Transition in Multiparty Conversation
This study explores laughter distribution around topic changes in multiparty conversations. The distribution of shared and solo laughter around topic changes was examined in corpora containing two types of spoken interaction; meetings and informal conversation. Shared laughter was significantly more frequent in the 15 seconds leading up to topic change in the informal conversations. A sample of...
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: 2014
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.29.69