Báo cáo khoa học: "Learning to predict pitch accents and prosodic boundaries in Dutch" ppt
Báo cáo khoa học: "Learning to Translate with Source and Target Syntax" pot
... random sam-
pling to sum over equivalent derivations during de-
coding, and the latter uses dynamic programming
human automatic
string -to- string 198,445 142,820
max nested 78,361 64,578
tree -to- string ... sen-
tences.
Venugopal et al. (2009), in the string -to- tree set-
ting, attempt to soften the data-fragmentation ef-
fect of the matching constraint: instead of trying
to find...
Tài liệu Báo cáo khoa học: "Learning to Translate with Multiple Objectives" doc
... Minimum error rate training in statis-
tical machine translation. In ACL.
Karolina Owczarzak, Josef van Genabith, and Andy Way.
2007. Labelled dependencies in machine translation
evaluation. In ... necessarily pareto-optimal. Algorithm 1
shows the pseudocode. In line 3, we take a point h
∗
and check if it is dominating or dominated in the for-
loop (lines 4-8). At least one pa...
Tài liệu Báo cáo khoa học: "Learning to Find Translations and Transliterations on the Web" doc
... while requiring minimal human
intervention to prepare the training data.
3 Method
To find translations for a given term on the Web, a
promising approach is automatically learning to
extract ... for each tokens in the same way as done in
the training phase. We then use the trained model
to tag the snippets, and extract translation
candidates by identifying consecutive Chine...
Tài liệu Báo cáo khoa học: "Learning to Follow Navigational Directions" pdf
... set-
ting it is situated in, motivating automated learn-
ing approaches to acquiring meaning. Tradi-
tional accounts of learning typically rely on lin-
guistic annotation (Zettlemoyer and Collins, ... terms such as above and below tend
to be interpreted as going to the north and south
of landmarks, respectively. Interestingly, our sys-
tem tends to move in the opposite cardin...
Tài liệu Báo cáo khoa học: "Learning to Compose Effective Strategies from a Library of Dialogue Components" doc
... similar to ours, constisting of: generation
of (limited) exploratory dialogue data, using a train-
ing system; creating an MDP from these data and
the rewards assigned by the training users; off-line
policy ... selection in dialogue management (see
e.g. Levin et al., 2000; Walker, 2000; Scheffler and
Young, 2002; Peek and Chickering, 2005; Frampton
and Lemon, 2006), for selecting i...
Tài liệu Báo cáo khoa học: "Learning to Recognize Tables in Free Text" pptx
... subdivided into columns and rows.
1 The extracted document fragments appear in a slightly
edited
form in this paper due to space constraint.
443
Line
Line
Line
Line
Line
Line
Line
Line
Line ... kinds of characters and their rela-
tive locations in a line and across lines to recognize
tables. It is domain independent and does not rely
on any domain-specific kn...
Báo cáo khoa học: "Learning to Win by Reading Manuals in a Monte-Carlo Framework" pot
... improves and vice
270
versa, in a cycle of continual improvement (Sutton
and Barto, 1998).
In many games, it is sufficient to maintain a dis-
tinct action-value for each unique state and action
in a ... the lines: Learning to map
high-level instructions to commands. In Proceedings
of ACL, pages 1268–1277.
S.R.K. Branavan, David Silver, and Regina Barzilay.
2011. Non-linea...
Báo cáo khoa học: "Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments" ppt
... (Pulman and Sukkarieh, 2005) compares
several machine learning techniques, including in-
ductive logic programming, decision tree learning,
and Bayesian learning, to the earlier pattern match-
ing ... im-
proving upon existing bag-of-words (BOW) ap-
proaches to short answer grading by utilizing ma-
chine learning techniques. Furthermore, in an at-
tempt to mirror the ability of...
Báo cáo khoa học: "Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation" doc
... all
definitions in our data to be used for the learning.
4.3 Training Ranking Models
Using the reference ranking data, we trained a rank-
ing model using the ranking SVM (Joachims, 2002)
(with a linear ... 0.13. Finally, taking the means of
ranks given to each definition, we merged the indi-
vidual rankings to create the reference rankings. An
example of a reference ranking is the botto...