The extraction of statistical data
Robust statistical approaches for feature extraction in laser scanning 3D point cloud data
... cloud data becomes complex because the points are usually unorganized, noisy, sparse, have inconsistent point density, have geometrical discontinuities, arbitrary surface shape with sharp features, incomplete ...
277
Statistical facial feature extraction and lip segmentation
... feature extraction method using both the independent locations model and the dependent locations model outperforms AAM for the same experimental setup in terms of pixel ...
64
Phrase extraction and rescoring in statistical machine translation
... Chapter 2 In this chapter, we investigate the uniqueness and utility of linguistically motivated phrase pairs induced from percolated dependency trees in a standard PB-SMT system. After replicating the results of Hearne ...
190
Statistical modelling of MT output corpora for information extraction
... In this paper we report the results of an experiment for establishing an evaluation measure for MT systems which contrasts the distribution of statistically significant words in MT output and in human translation and ...
15
Standard Statistical and Graph based Automatic Keyword Extraction
... bursty data is increasing every day, so we need to maintain and analyze the data for effective use or ...processing. Data can be available in the form of image, spatial form, text; mostly text ...
7
Some statistical methods for evaluating information extraction systems
... new statistical methods for evaluating information extraction sys- ...this data presents two problems for evalu- ators: 1) the frequency distribution of event types in international event data ...
7
Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses
... and statistical analyses to extract rigid lexical bilingual collocations from a parallel ...the data sparseness problem, we use the statistical association between two collocations as well as that ...
20
Bilingual Collocation Extraction Based on Syntactic and Statistical Analyses
... the statistical association between “pay” and “薪” [xin] (wage) as well as “cut” and “減” [jian, reduce] certainly makes ...more data to make statistical inference between words than ...the ...
23
Automatic extraction of Chinese multiword expressions with a statistical tool
... 4 Discussion As our experiment demonstrates, our tool pro- vides a practical means of identifying and ex- tracting domain specific MWEs with a minimum amount of linguistic knowledge. This becomes important in ...
8
RFI detection by automated feature extraction and statistical analysis
... In this work we follow the second approach using snap- shot data obtained with the high dynamic range DFFT spec- trometer at the Effelsberg telescope (Stanko, Klein & Kerp 2005). The method itself and its ...
13
Feature extraction and selection using statistical dependence criteria
... Here we let the size of the training sample change between n = 75 and n = 500. Obtained results are shown in panels (c) and (e) of Figure 4.1 for case i) and case ii), respectively. Reported values are averages over 100 ...
8
Frequency of data extraction errors and methods to increase data extraction quality: a methodological review
... First, data extraction is probably dependent on the reporting quality in primary ...the extraction of treat- ment effects in a useful manner ...on statistical significance without effect ...
8
SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
... 2.3 Step 3: Edit the Rule-based Model The output of the previous two steps is a model consisting of a set of rules. The association between rules and output classes is measured through votes that each matching rule gives ...
10
Histogram Equalization on Statistical Approaches for Chinese Unknown Word Extraction
... Further, the same experiments were conducted for cross-domain testing data. That is, the CKIP_Train corpus was used for training while the CUHK_Test corpus was used for testing. The experimental results are shown ...
20
Collocational Translation Memory Extraction Based on Statistical and Linguistic Information
... Example data of emission probabilities of chunks Using the chunk and clause information , w e proceeded to extract a list of collocation types from the monolingual British National ...collocation extraction ...
18
Collocational Translation Memory Extraction Based on Statistical and Linguistic Information
... Note: I-NP for noun phrase words and I-VP for verb phrase words. Most chunk types have two different chunk tags: B-CHUNK for the first word of the chunk and I-CHUNK for the other words in the same chunk. The words in the ...
8
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
... Due to the slight event annotation difference in TBDense, we collect our training data as follows. We first extract all the verb semantic frames from the raw text of TBDense. Then we only keep those semantic ...
11
Objective extraction and analysis of statistical features of Dansgaard–Oeschger events
... our data we cannot separate the true climatic noise potentially driving the observed large-scale climate transi- tions from other types of noise, it is hard to say whether a low noise condition is met and a Gumbel ...
22
FACIAL FEATURE EXTRACTION USING STATISTICAL QUANTITIES OF CURVE COEFFICIENTS
... The jobs which PCA can do are prediction, redundancy removal, feature extraction, data compression, etc. Because PCA is a classical technique which can do something in the linear domain, applications having ...
9
A Statistical Method for Short Answer Extraction
... ? ????????? ? ??? ??????? ????????????????????? ?!?"?$#??&%'?(?*),+??!??? ? ??? ?/# 02143(5 687 9<;<=?>?7@7 A?BDC?EGF HJIKBMLNH?OGP
8