... of
the in-car system.
121
An ISU DialogueSystem Exhibiting Reinforcement Learning of Dialogue
Policies: Generic Slot-filling in the TALK In-car System
Oliver Lemon, Kallirroi Georgila, and James ... mul-
timodal dialogue management, and also to test and fur-
ther develop learnt dialogue strategies in a realistic ap-
plication scenario. For these reasons we have built a
system which:
contains an interface ... developed for Reinf orcement
Learning with ISU dialogue systems.
2 System Overview
The baseline dialoguesystem is built around the DIP-
PER dialogue manager (Bos et al., 2003). This sys-
tem is...
... driver utterances and 4382
passenger utterances are transcribed. An annota-
tion scheme was designed to enable analysis of
utterances with respect to topic change for each
domain.
Domain and topic ... resumption strategies in an in-vehicle
dialogue system.
1 Introduction
Making it useful and enjoyable to use a dialogue
system is always important. The dialogue should
be easy and intuitive, otherwise ... when implementing an in-
vehicle dialogue system.
To make the dialogue natural and easy to under-
stand the dialogue manager should consider which
domain it will resume to and the number of turns
between...
... Depending on its
boundary, a system can be an economic entity,
an inventory system, or a business organization.
Knowledge management is an element of the
organizational management system (Warfield,
1989). ... enterprise perfor-
mance and competitive advantage (Ahn and
Chang, 2004; Chuang, 2004; Joshi and Sharma,
2004; Tzokas and Saren, 2004; Badii and Sharif,
2003; Cavusgil et al., 2003; Choi and Lee, 2002).
For ... structure of the system, and the function of
the system.
Main Factors Influence Knowledge Management
Knowledge management system is a system to
effectively manage knowledge within an enter-
prise....
... language under-
standing (SLU) module converts W
t
to an abstract
representation of the user’s dialogue act (DA). The
dialogue management (DM) module determines the
user’s dialogue act A
∗
t
and ... Linguistics
Semantic Information and Derivation Rules for Robust Dialogue Act
Detection in a Spoken Dialogue System
Wei-Bin Liang
1
Chung-Hsien Wu
2
Department of Computer Science and
Information Engineering
National ... extracted and used to model the relation-
ship between the dialogue acts and the deriva-
tion rules. The constructed model is then used
to generate a semantic score for dialogue act
detection given an...
... 2005; Soricut and Brill, 2006), as
have the human-powered question sites such as An-
swers.com, Yahoo Answers and Google Answers,
where individuals can post questions and receive an-
swers from ... information can be used to
post-process the data, and to develop an auto-
matic approval system for further data collec-
tion projects conducted in a similar manner.
1 Introduction
Automatic question answering ... com-
pare the correct answers to automatic answers
produced by a system. For this purpose we
present a Wikipedia-based corpus of Why-
questions and corresponding answers and arti-
cles. The corpus...
... hori-
zon, correct answers) has the biggest impact.
Acknowledgements
This work is supported by NSF Grants 0328431
and 0428472. We would like to thank Shimei Pan,
Pamela Jordan and the ITSPOKE ...
63(Special Issue on NLP).
D. Litman and S. Silliman. 2004. ITSPOKE: An intelli-
gent tutoring spoken dialogue system. In Proc. of
HLT/NAACL.
S. Oviatt, R. Coulston and R. Lunsford. 2004. When Do ... user can expand
nodes as desired using the mouse.
Information highlight. Bold and italics font
were used to highlight important information (what
and when to highlight was manually annotated)....
... input, and thus in the same output: a
request to show and describe the given design.
The COMIC DAM (Catizone et al., 2003) is
a general-purpose dialogue manager which can
handle different dialogue ... al., 2002). An experimental study (Foster and
White, 2005) has shown that this adaptation is per-
ceptible to users of COMIC.
2 Dialogue Management
The task of the Dialogue and Action Manager
(DAM) ... Chang, Hannes Vilhj
´
almsson,
and Hao Yan. 1999. Embodiment in conversational
interfaces: Rea. In Proceedings of CHI99.
Roberta Catizone, Andrea Setzer, and Yorick Wilks.
2003. Multimodal dialogue...
...
to-speech translation systems, the semantic content
of utterances plays an important role and an inte-
grated system must also produce a semantic analysis
of the input utterance. Although ... descriptions of what is said,
and that the recognition of the utterance topic is an
important task of spoken dialogue systems.
3 The Topic Model
In AI-based dialogue modelling, topics are ... syntactic and semantic information
of the input utterance rather than strict prediction of
dialogue act sequences. Recently also keyword-based
topic identification has been applied to dialogue...
... corpus and transcribing it is very time-
consuming and delays the building of the actual
dialogue system.
An approach taken both in dialogue systems
and dictation applications is to first write an ... M., and
Popovici C. 1997. Contextual Information and Spe-
cific Language Models for Spoken Language Un-
derstanding. In Proceedings of SPECOM’97, Cluj-
Napoca, Romania, pp. 51–56.
Bangalore S. and ... significant improvement. It seems from the tests
that the quality of the data is more important than
the quantity. This makes extraction of domain
data from larger corpora an important issue and
increases...
... six dialogue pairs, the
first of which was used for training and was thus
not included in the analysis. Each dialogue pair
consisted of one dialogue between a user and our
system and one dialogue ... constructions needed. The
dialogues with the Chung system were designed
manually, as this system is implemented for an-
other domain. The order of the dialogues in a pair
was randomized. The dialogues were ... as
transcripts.
After reading each dialogue transcript, partici-
pants were asked four questions about the system s
responses. They provided their answers using Lik-
ert scales.
1. Did the system...
... Sciences and Technology 24 (2008) 110-121
110
An integrated approach for an academic advising system in
adaptive credit-based learning environment
Nguyen Thanh Binh
*
, Hoang Thi Anh Duong,
Tran ... understanding the regulations and
requirements of a chosen program, and
selecting the most effective and efficient path
toward graduation [5].
Usually, Academic advising is an important
and ... understand and profit
from learning history data. In the proposed
framework, a learning data warehouse gathers
and stores information coming from operation
and navigational systems for future analysis...