...
dilation operators to obtain the real text regions.
Keywords:Text extraction, DWT, Neural Network
1. Introduction
Text extraction plays an important role in static
images and video sequences ...
appear in a cluttered background. These are the
reasons make text extraction a challenging task.
Many papers concerning extraction of texts from
static images or video sequences have been ... images or compressed images. Text
extraction from uncompressed image can be
classified as either component-based or texture-based.
For component-based text extraction methods, text
regions...
... Text Extraction from Name Cards Using Neural Network
Lin Lin
School of Computing
National University ... 117543
+65-6874-2900
tancl@comp.nus.edu.sg
Abstract This paper addresses the problem of text
extraction from name card images with fanciful design
containing various graphical foreground and ... address the above issues, we first surveyed the
literature to find any existing methods for text extraction
from complex background for our name card scanner. The
more straightforward approaches...
... the appearance in the
palette.
1
ME-430 Introduction to Computer Aided Design
CARD HOLDER -
Pro/ENGINEER Wildfire 3.0
Dr. Herli Surjanhata
Pick the Create a new object ...
Click
.
Repeat the same technique for creating variable rounds at the bottom surface of card
holder – see figure below.
38
Change the radius of Set 1 to 2 mm.
Pick the Set...
... time.
Answers
1
.Fact
2
. Opinion
3
. Opinion
4
.Fact
5
. Opinion
WHEN FACTS AND OPINIONS
ARE MIXED TOGETHER
It’s usually easy to determine whether something is fact or opinion when
it’s standing ... known
for certain to exist.
What are Opinions?
• Opinions are things
believed or thought
to have happened.
• Opinions are things
believed or thought
to be true.
• Opinions are things
believed or thought
to ... a
writer offers evidence for an opinion doesn’t mean readers have to agree
with that opinion. The same facts can often be used to support many
different opinions.
Still, an opinion that is supported...
... Topic1: your opinion about learning foreign languages
There is no free lunch in the world except that you know ... are talking about
learning English, so what is the real state of learning English in VN. In my opinion, I think
it is rather good in the big city, but not good in the rural areas. Partly because...
... Other Forms of Opinion – Nov 2012
Definitions of Ratings and Other
Forms of Opinion
Fitch Ratings – Definitions of Ratings and Other Forms of Opinion – Nov 2012 ...
The IFS Rating does not encompass policyholder obligations residing in separate accounts, unit-linked products or
segregated funds, for which the policyholder bears investment or other risks. ... The IFS Rating is assigned to the insurance company’s policyholder obligations, including assumed
reinsurance obligations and contract holder obligations, such as guaranteed investment contracts....
... Identifying
relations for open information extraction. In EMNLP,
2011.
[17] J. R. Finkel, T. Grenager, and C. Manning.
Incorporating non-local information into information
extraction systems by gibbs sampling. ... relatively unambiguous. Although there
appears to be room for improving the recall of temporal
extraction on Twitter by handling noisy temporal expres-
sions (for example see Ritter et. al. [46] ... [46] for a list of over
50 spelling variations on the word “tomorrow”), we leave
adapting temporal extraction to Twitter as potential future
work.
6. CLASSIFICATION OF EVENT TYPES
To categorize the...
... for
sentiment lexicon extraction.
Table 3 shows the comparison results on topic lex-
icon extraction. From the table, we can observe that
different from the sentiment lexicon extraction task,
the ... topic lexicon extraction task, the
topic words may be totally different, and as a result,
we may not be able to find useful source domain
labeled data to boost the performance for lexicon
extraction ... movie” task. Observe that for sentiment word
extraction, the results of the proposed methods are
not sensitive to the values of r. While for the topic
word extraction, the proposed methods perform...
... translation
rule extraction approaches in this paper are to-
tally data-driven, and easily applicable to numer-
ous language pairs by taking English as the source
or target language.
3 Fine-grained rule extraction
We ... de-
scribe our approaches for fine-grained tree-to-
string rule extraction. Especially, we localize an
HPSG tree/forest to fit the extraction algorithms
described in (Galley et al., 2006; Mi and ... tree then
2: E
′
f
= localize Tree(E
f
)
3: R
1
= PASR extraction( E
′
f
, F , A) ◃ Algorithm 2
4: E
′′
f
= ignore PAS(E
′
f
)
5: R
2
= TR extraction( E
′′
f
, F, A) ◃ composed rule ex-
traction...
... patterns: value extraction, bounds
and comparison patterns. We used up to 10 pat-
terns of each kind. These patterns are the only
attribute-specific resource in our framework.
Value extraction. The ... units of each extracted value. At the
end of the value extraction stage, we convert all
values to a single unit format for comparison.
Boundary extraction. The second group,
P
boundary
, consists ... than manual extraction of
data from Wikipedia infoboxes or from the first
1315
FULL Go1 Go2 Wi Wf
Web QA 83 32 40 15 21
WordNet 87 24 27 18 5
Table 4: Comparison of our attribute extraction framework
to...
... Section
5. We conclude the paper in Section 6.
2 Related Work
Definition Extraction. A great deal of work
is concerned with definition extraction in several
languages (Klavans and Muresan, 2001; Storrer
and ... TREC classifica-
tion, but the second sentence is not a definition.
Hypernym Extraction. The literature on hy-
pernym extraction offers a higher variability of
methods, from simple lexical patterns ... automated
taxonomy building, and to test the WCL approach
on other information extraction tasks, like hyper-
nym extraction from generic sentence fragments,
as in Snow et al. (2004).
References
Eneko...
...
valuable feedbacks (Pang et al., 2008). Opinion
oriented research, including sentiment classifica-
tion, opinion extraction, opinion question ans-
wering, and opinion summarization, etc. are re-
ceiving ...
query-independent opinion score of all retrieved
documents. Similarly, a pseudo opinionated
word composed of all opinion words was first
created, and then used to estimate the opinion
score ... can indicate relevant opinions
effectively, it is worth further study on how they
could be applied to other opinion oriented appli-
cations, e.g. opinion summarization, opinion
prediction,...
... t
b
and t
c
are also decremented.
5 Phrase Extraction
In this section, we describe both traditional heuris-
tic phrase extraction, and the proposed model-based
extraction method.
636
de-en es-en fr-en ... model-
based phrase extraction compared to heuristic phrase
extraction. Using the alignments from HIER, we cre-
ated phrase tables using model probabilities (MOD),
and heuristic extraction on words ... sparse
635
Figure 3: The phrase, block, and word alignments used
in heuristic phrase extraction.
5.1 Heuristic Phrase Extraction
The traditional method for heuristic phrase extrac-
tion from word alignments...