Sciweavers

119 search results - page 3 / 24
» Learning dialog act processing
Sort
View
89
Voted
CORR
1998
Springer
153views Education» more  CORR 1998»
14 years 10 months ago
Identifying Discourse Markers in Spoken Dialog
In this paper, we present a method for identifying discourse marker usage in spontaneous speech based on machine learning. Discourse markers are denoted by special POS tags, and t...
Peter A. Heeman, Donna K. Byron, James F. Allen
84
Voted
ICASSP
2010
IEEE
14 years 11 months ago
Comparing the contributions of context and prosody in text-independent dialog act recognition
Automatic segmentation and classification of dialog acts (DAs; e.g., statements versus questions) is important for spoken language understanding (SLU). While most systems have re...
Kornel Laskowski, Elizabeth Shriberg
83
Voted
IALP
2009
14 years 8 months ago
Dialog-Act Recognition Using Discourse and Sentence Structure Information
Automatic recognition of Dialog-act (DA) is one of the most important processes in understanding spontaneous dialog. Most existing studies have been working on how to use various ...
Keyan Zhou, Chengqing Zong
90
Voted
EACL
2006
ACL Anthology
15 years 9 days ago
Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog
We present an implemented machine learning system for the automatic detection of nonreferential it in spoken dialog. The system builds on shallow features extracted from dialog tr...
Christoph Müller
107
Voted
EMNLP
2008
15 years 10 days ago
Relative Rank Statistics for Dialog Analysis
We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a...
Juan Huerta