active learning with confidence
Báo cáo khoa học: "Active Learning with Confidence" doc
Ngày tải lên :
17/03/2014, 02:20
... slow and
difficult. One popular solution is Active Learning,
which maximizes learning accuracy while minimiz-
ing labeling efforts. In active learning, the learning
algorithm itself selects unlabeled ... margin it has
low confidence compared to the second. Both the
margin value and confidence should be considered
in choosing which example to label.
We present active learning with confidence us-
ing ... important property for inter-
active learning. Experimental validation on a num-
ber of datasets shows that active learning with con-
fidence can improve standard methods.
2 Confidence- Weighted Linear...
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Tài liệu Báo cáo khoa học: "Transition-based parsing with Confidence-Weighted Classification" pdf
Ngày tải lên :
20/02/2014, 04:20
... that using confidence- weighted
classifiers with transition-based dependency pars-
ing yields results comparable with the state-of-the-
art results achieved with Support Vector Machines
- with faster ... deals with this
by having a confidence- parameter for each weight,
modeled by a Gaussian distribution, and this pa-
rameter is used to make more aggressive updates
on weights with lower confidence ... ex-
periments with using CW-classifiers in transition-
based parsing.
5.1 Online classifiers
We compare CW-classifiers with other online al-
gorithms for linear classification. We compare
with perceptron...
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Báo cáo khoa học: "Domain Adaptation with Active Learning for Word Sense Disambiguation" pdf
Ngày tải lên :
08/03/2014, 02:21
... each
adaptation iteration. The adaptation process using
active learning is represented by the curve a, while
applying count-merging with active learning is rep-
resented by the curve a-c. Note that ... al.
(2006), where active learning was used successfully
to reduce the annotation effort for WSD of 5 English
verbs using coarse-grained evaluation. In that work,
the authors only used active learning ... data from WSJ. In the
baseline approach, the additional WSJ examples are
randomly selected. With active learning (Lewis and
Gale, 1994), we use uncertainty sampling as shown
D
T
← the set of BC...
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Báo cáo khoa học: "Confidence-Weighted Learning of Factored Discriminative Language Models" pptx
Ngày tải lên :
17/03/2014, 00:20
... re-
ranking with the proposed discriminative language mod-
els.
(DLM 0) or factored features by standard percep-
tron (DLM 1), confidence- weighted learning (DLM
2) and confidence- weighted learning with ... four
discriminative learning algorithms, we see that fac-
tored features are slightly better then POS features,
confidence- weighted learning is slightly better than
perceptron, and confidence- weighted learning with
soft ... trained dis-
criminative language models by standard percep-
tron, confidence- weighted learning and confidence-
weighted learning with soft margin.
We then trained the weights of a re-ranker using
eight...
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Active learning( Day-Học tích cực)
Ngày tải lên :
14/10/2013, 07:11
... nhân người
học, đảm bảo cho họ thích ứng với đời sống
xà hội.
TECHNIQUES THAT SUPPORT
ACTIVE LEARNING
BRAINSTORMING
Free writing
Listing/bulleting
Clustering/mapping/webbing ... thiểu
vai trò
của người
Khác
Quá phục
tùng
Tự biến mình
thành người vô
hình
Thờ ơ
Active learning
Một số biểu hiện cụ thể của người học
theo hướng tích cực
Người học biết làm chủ...
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Tài liệu Báo cáo khoa học: "Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing" docx
Ngày tải lên :
20/02/2014, 04:20
... directions.
2 Active Learning
2.1 Pool-based Active Learning
Our base framework of active learning is based on
the algorithm of (Lewis and Gale, 1994), which is
called pool-based active learning. ... propose
methods of improving active learning for parsing
by using a smaller constituent than a sentence as
a unit that is selected at each iteration of active
learning. Typically in active learning for parsing ... framework
of active learning, since the selection strategy with large mar-
gin classifiers (Section 2.2) is much simpler and seems more
practical for active learning in Japanese dependency parsing
with...
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Tài liệu Báo cáo khoa học: "Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation" docx
Ngày tải lên :
20/02/2014, 04:20
... machine active learning with applications to text
classification. Journal of Machine Learning Re-
search (JMLR), 2:45–66.
David Vickrey, Oscar Kipersztok, and Daphne Koller.
2010. An active learning ... Vijay-Shanker. 2009b. Tak-
ing into account the differences between actively
and passively acquired data: The case of active
learning with support vector machines for imbal-
anced datasets. In Proceedings ... Association for Computational Linguistics.
Greg Schohn and David Cohn. 2000. Less is more:
Active learning with support vector machines. In
Proc. 17th International Conf. on Machine Learn-
ing, pages...
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Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx
Ngày tải lên :
20/02/2014, 04:20
... respectively.
5 Improving MT quality with N-best list
reranking
Experiments reporting in Section 4 indicate that the
proposed confidence measure has a high correlation
with HTER. However, it is not very ... hypotheses and for
each hypothesis we compute sentence-level confidence
scores. The best candidate is the hypothesis with high-
est confidence score. Table 3 shows the performance of
reranking systems ... word in MT out-
put, namely Good/Bad with a binary classifier and
Good/Insertion/Substitution/Shift with a 4-class classi-
fier. Each classifier is trained with different feature sets
as follow:
•...
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Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf
Ngày tải lên :
20/02/2014, 09:20
... 2002), scientific text is annotated with POS tags,
parse trees, and named entities.
In this paper, we introduce multi-task active
learning (MTAL), an active learning paradigm for
multiple annotation ... Breiman. 1996. Bagging predictors. Machine
Learning, 24(2):123–140.
David A. Cohn, Zoubin Ghahramani, and Michael I. Jor-
dan. 1996. Active learning with statistical models.
Journal of Artificial ... is extremely labor-
intensive. The Active Learning (AL) paradigm
(Cohn et al., 1996) offers a promising solution to
deal with this bottleneck, by allowing the learning
algorithm to control the...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
Ngày tải lên :
20/02/2014, 16:20
... 2000, Learning
to construct knowledge bases from the World Wide
Web, Artificial Intelligence, 118(1-2), pp. 69-113.
T. Joachims, 1998, Text Categorization with Support
Vector Machines: Learning ... features. Since elements with
a high TF-IDF value in projections of a feature
must become more useful classification criteria for
the feature, we use only elements with TF-IDF
values above ... Using TCFP with
those Using other Classifiers
In this section, we prove the superiority of TCFP
over the other classifiers (SVM, kNN, Naive Bayes
(NB), Roccio) in training data with much noisy...
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Tài liệu Báo cáo khoa học: "Performance Confidence Estimation for Automatic Summarization" ppt
Ngày tải lên :
22/02/2014, 02:20
... Features that were significantly correlated
with expected performance at confidence level of
0.95 are marked with (*). Overall, better perfor-
mance is associated with smaller inputs, lower en-
tropy, ... show the SVM classification
results when inputs were paired only with those
within the same year. Next inputs of all years were
paired with no restrictions. We report the classifi-
cation accuracies ... pages 299–306.
M. Dredze and K. Czuba. 2007. Learning to admit
you’re wrong: Statistical tools for evaluating web
qa. In NIPS Workshop on Machine Learning for Web
Search.
M. Kaisser, M. A. Hearst,...
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Báo cáo khoa học: "Balancing User Effort and Translation Error in Interactive Machine Translation Via Confidence Measures" pot
Ngày tải lên :
07/03/2014, 22:20
... Valencia
46021 Valencia, Spain
fcn@dsic.upv.es
Abstract
This work deals with the application of
confidence measures within an interactive-
predictive machine translation system in
order to reduce human ... Im-
proving interactive machine translation via mouse
actions. In Proc. EMNLP, pages 25–27.
N. Ueffing and H. Ney. 2005. Application of word-
level confidence measures in interactive statistical
machine ... P. Plamondon. 1997. Target-
text mediated interactive machine translation. Ma-
chine Translation, 12:12–175.
S. Gandrabur and G. Foster. 2003. Confidence esti-
mation for text prediction. In Proc....
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Báo cáo khoa học: "Phrase-based Statistical Language Generation using Graphical Models and Active Learning" potx
Ngày tải lên :
17/03/2014, 00:20
... partici-
pants are presented with a ‘gold standard’ human
utterance from our dataset, which they must com-
pare with utterances generated by models trained
with and without active learning on a set of ... through active learning, in
which the next semantic input to annotate is de-
termined by the current model. The probabilis-
tic nature of BAGEL allows the use of certainty-
based active learning ... same
dialogue act can only be queried twice during the
active learning procedure. A consequence is that
the training set used for active learning converges
towards the randomly sampled set as...
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Báo cáo khoa học: "Confidence Measure for Word Alignment" potx
Ngày tải lên :
17/03/2014, 01:20
... word confidence estimation. (Quirk,
2004) trained a sentence level confidence mea-
sure using a human annotated corpus. (Bach et
al., 2008) used the sentence-pair confidence scores
estimated with ... sentence pairs with word alignment, from
which we obtained phrase translation pairs. We
extract phrase translation tables from the baseline
MaxEnt word alignment as well as the alignment
with confidence- based ... 2: Correlation between sentence alignment
confidence measure and F-score.
measure suggests the possibility of selecting the
alignment with the highest confidence score to ob-
tain better alignments....
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