Báo cáo khoa học: "Learning to Interpret Utterances Using Dialogue History" ppt
Báo cáo khoa học: "Learning to Interpret Utterances Using Dialogue History" ppt
... Linguistics
Learning to Interpret Utterances Using Dialogue History
David DeVault
Institute for Creative Technologies
University of Southern California
Marina del Rey, CA 90292
devault@ict.usc.edu
Matthew Stone
Department ... information that an agent can
use to improve its statistical interpretation process.
Further work is required to scale these techniques
to richer dialog...
Tài liệu Báo cáo khoa học: "Learning to Recognize Tables in Free Text" pptx
...
12:
13: Net tons Capability
14: produced utilization
15: Week to March 14 1,633,000 75.8~
16: Week to March 7 1,570,000 71.9~
17: Year to date 15,029,000 66.9~
18: Year earlier to date 18,431,000 ... Learning to Recognize Tables in Free Text
Hwee Tou Ng
Chung
Yong Lim
Jessica Li Teng Koo
DSO National Laboratories
20 Science Park Drive, Singapore 118230
{nhweetou, ichun...
Báo cáo khoa học: "Learning to Generate Naturalistic Utterances Using Reviews in Spoken Dialogue Systems" ppt
... sentences
could be used to create the mappings. One way
to increase recall might be to automatically aug-
ment the list of distinguished attribute lexicaliza-
tions, using WordNet or work on automatic iden-
tification ... DSyntS can
be incorporated into SPaRKy using the semantic
representations to substitute learned DSyntSs into
nodes in the sentence plan tree. Figure 2 shows
some...
Tài liệu Báo cáo khoa học: "Learning to Translate with Multiple Objectives" doc
... between pareto vs. non-pareto
points ignores the fact that 2nd-place non-pareto
points may also lead to good practical solutions. A
better approach may be to adopt a graded definition
of Pareto optimality ... weight vector w, takes in a foreign sen-
tence f and returns a translated hypothesis h. The
argmax operates in vector space and our goal is to
find w leading to hypotheses on the P...
Tài liệu Báo cáo khoa học: "Learning to Find Translations and Transliterations on the Web" doc
...
Thus, we also associate features to each Chinese
token (characters or words) to reflect the likelihood
of the token being part of the translation. We
describe how to train a CRF model for identifying ... source
term and partial translation to a search engine is a
good strategy used by many translators.
Unfortunately, the user still has to sift through
snippets to find the...
Tài liệu Báo cáo khoa học: "Learning to Follow Navigational Directions" pdf
... it
is her task to describe the path to the instruction
follower, who cannot see the reference path. Our
system learns to interpret these navigational direc-
tions, without access to explicit linguistic ... 128 dialogs,
together with 16 different maps. The speech has
been transcribed and segmented into utterances,
based on the length of pauses. We restrict our
attention to just t...
Tài liệu Báo cáo khoa học: "Learning to Compose Effective Strategies from a Library of Dialogue Components" doc
... that the key to maximum dialogue ef-
fectiveness is to listen to the user. This paper de-
scribes the development of an adaptive dialogue sys-
tem that uses the feedback of users to automatically
improve ... Sutton and Barto, 1998). We applied the algo-
rithm of (Singh et al., 2002), as their experimental
set-up is similar to ours, constisting of: generation
of (limited) explora...
Báo cáo khoa học: "Learning to Translate with Source and Target Syntax" pot
... were
smoothed using modified Kneser-Ney (Chen and
Goodman, 1998) and stored using randomized data
structures similar to those of Talbot and Brants
(2008).
The base feature set for all systems was similar
to ... struc-
tures. This change by itself led to an increase in
the BLEU score. We then compared against two
systems using tree -to- tree grammars. Using ex-
act tree -to- tree...
Báo cáo khoa học: "Learning to Win by Reading Manuals in a Monte-Carlo Framework" pot
... approach for lever-
aging automatically extracted textual knowl-
edge to improve the performance of control
applications such as games. Our ultimate goal
is to enrich a stochastic player with high-
level ... text to better select actions.
The key technical challenge in leveraging textual
knowledge is to automatically extract relevant infor-
mation from text and incorporate it effectiv...