Sciweavers

232 search results - page 38 / 47
» Learning User Intentions in Spoken Dialogue Systems
Sort
View
IJCAI
2007
14 years 11 months ago
A Hybrid Ontology Directed Feedback Selection Algorithm for Supporting Creative Problem Solving Dialogues
We evaluate a new hybrid language processing approach designed for interactive applications that maintain an interaction with users over multiple turns. Specifically, we describe ...
Hao-Chuan Wang, Rohit Kumar, Carolyn Penstein Ros&...
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 3 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diď...
Xiao Zhang, Prasenjit Mitra
LREC
2008
101views Education» more  LREC 2008»
14 years 11 months ago
The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
NLDB
2004
Springer
15 years 3 months ago
Accessing an Information System by Chatting
Abstract. In this paper, we describe a new way to access information by “chatting” to an information source. This involves a chatbot, a program that emulates human conversation...
Bayan Abu Shawar, Eric Atwell
ANLP
2000
109views more  ANLP 2000»
14 years 11 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts