Báo cáo khoa học: "Reinforcement Learning for Mapping Instructions to Actions" pdf
Báo cáo khoa học: "Reinforcement Learning for Mapping Instructions to Actions" pdf
... documents, divided into 70 for
training, 18 for development, and 40 for test. In
the puzzle game domain, we use 50 tutorials,
divided into 40 for training and 10 for test.
9
Statistics for the datasets ... paper, we
present a reinforcement learning framework for in-
ducing mappings from text to actions without the
need for annotated training examples.
For concreteness, c...
Tài liệu Báo cáo khoa học: "Guided Learning for Bidirectional Sequence Classification" ppt
... to select samples for training.
In general, this novel learning framework lies be-
tween supervised learning and reinforcement learn-
ing. Guided learning is more difficult than super-
vised learning, ... number. This is due to the fact that the
search space is too large in bidirectional search, if
we do not use aggressive learning to constrain the
samples for learning.
Wi...
Tài liệu Báo cáo khoa học: "Machine Learning for Coreference Resolution: From Local Classification to Global Ranking" ppt
... need to make tough or potentially
suboptimal design decisions.
1
For instance, if we
1
We still need to determine the
coreference systems to be
employed in our framework, however. Fortunately, ... fa-
vorably to two state-of-the-art coreference systems
adopting the standard machine learning approach,
outperforming them by as much as 4–7% on the
three data sets for one of the per...
Báo cáo khoa học: "Accurate Learning for Chinese Function Tags from Minimal Features" pdf
... Chinese). It is there-
fore worthwhile to investigate alternatives to func-
tion labeling for languages under the parsing bot-
tleneck, both in terms of features used and effec-
tive learning algorithms.
In ... x
T
, where y
i
∈ Σ. Therefore the function
labeling task can be formulated as a stream of se-
quence learning problem. The general approach
is to learn a w-parameterized...
Báo cáo khoa học: "Transductive learning for statistical machine translation" potx
... although with slight variation, over
the iterations. In total, it increases from 24.1 to 24.4
for the 100K filtered corpus, and from 24.5 to 24.8
for 150K, respectively. Moreover, we see that the
BLEU ... table, specific to
U, was trained and plugged into the SMT system as
an additional model. The decoder weights thus had
to be optimized again to determine the appropriate
weight...
Báo cáo khoa học: "Spectral Learning for Non-Deterministic Dependency Parsing" ppt
... the fac-
tors, leading to potential data-sparsity problems.
A solution to address the data-sparsity problem
is to explicitly tell the model what properties of
higher-order factors need to be remembered. ... we can index
vectors and matrices by symbols in X .
3 Learning Operator SHAG
We will define a SHAG using a collection of op-
erator models to compute probabilities. Assume
that...
Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx
... unwanted bias toward small
clusters. For cluster
, the weight for
sample is proportional to .
Weight by Performance: The idea of weight by
performance is to focus the model on its weakness
when ... to
achieve a satisfactory performance using active learning.
Active learning has been studied in the context of many
natural language processing (NLP) applications such as
information...
Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
... generative models
for the phrases and show how to estimate and use
them for sentence selection.
4.1 Model 1
In the first model, the generative story is to gen-
erate phrases for each sentence ... the maximum length for the potential phrases is set to 2. In the
example, “go to school” has 3 segmentations with maximum phrase length 2: (go) (to school), (go to) (school), (go) (t...
Báo cáo khoa học: "Discriminative Learning for Joint Template Filling" pptx
... focused on learning tagging
845
models for mention detection, which can be diffi-
cult to aggregate into a full template extraction, or
directly learning template field value extractors, of-
ten ... Introduction
Information extraction (IE) systems recover struc-
tured information from text. Template filling is an IE
task where the goal is to populate the fields of a tar-
get relation,...
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