fast semantic extraction using a novel neural network architecture
Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx
... is labeled foreach particular verb as so-called frames. Addition-ally, semantic roles can also be labeled with one of13 ARGM adjunct labels, such as ARGM-LOC orARGM-TMP for additional locational ... a neural network architecture that can provide computationally efficient semantic role tagging. It is also a general architecture thatcould be applied to other problems as well. Becauseour network ... locational or temporalinformation relative to some verb.Shallow semantic parsing has immediate applica-tions in tasks such as meta-data extraction (e.g. fromweb documents) and question and answer...
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Automatic text extraction using DWT and Neural Network
... Those features are used as the input of a neural network for training based on the back-propagation algorithm for neural networks. After the neural network is well trained, new input data will ... special texture features of characters. Paul et al [3] segmented and classified texts in a newspaper by generic texture analysis. Small masks are applied to obtain local textural characteristics. ... algorithm on a neural network. The training of the neural network is based on the features we obtain from the DWT detail component sub-bands. As shown in Figure 6, the proposed neural network architecture...
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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
... results are used. 43 learning data are used for training the ANN model, and the others are used for the comparison Data Collection Data Normalization Parametric Studies Training and Testing ANN ... the field data. In particular, these differences are increase at the high strain rate range. The reason is that ANN model has not a lot of database on the high strain rate. To eliminate this ... fields. In this study, a back-propagation neural network model for estimating of proper strain rate form soil parameter is proposed. The back-propagation neural network program adopted in the present...
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Tài liệu A Backpropagation Neural Network for Computer Network Security doc
... example, if N=5 and N' = 1, then these values generate a space of 1029 times larger than that of DES. Artificial neural networks (ANNs): A neural network is a massively parallel-distributed ... Yen, J.C. and J.I. Guo, 2002. The design and realization of a chaotic neural signal security system. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications), ... Chen, 2004. A novel symmetric cryptography based on chaotic signal generator and a clipped neural network. Advances in Neural Networks-ISNN, Intl. Symp. Neural Networks Proc., Part II. Lecture...
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Báo cáo khoa học: Selective detection of superoxide anion radicals generated from macrophages by using a novel fluorescent probe pdf
... lensspectrometry. Anal Chim Acta 250, 95–104.3 Yi XF & Ben GY (2000) Seasonal variation in antioxi-dants of Polygonum viviparum and its relation to solarradiation in alpine meadow. Acta Bot Boreal OccidentSin ... 4,5-Dihydroxy-1,3-benzenedisulfonic acid disodium salt (Tiron) was fromShanghai Reagent Co. Ltd (Shanghai, China). All chemi-cals were of analytical reagent grade, and double-distilledwater was used throughout. RAW264.7 ... carriedout with an argon ion laser. Acquired images were analyzed using image-pro plus 4.5 software.Materialso-Aminobenzenothiol was purchased from Fluka (Shang-hai, China). A stock solution...
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Báo cáo khoa học: "Accurate Collocation Extraction Using a Multilingual Parser" docx
... sections 4 and 5 a com-parative evaluation experiment proving that a hy-brid approach leads to more accurate results than a classical approach in which syntactic informationis not taken into account.2 ... 2006.c2006 Association for Computational LinguisticsAccurate Collocation Extraction Using a Multilingual ParserVioleta SeretanLanguage Technology LaboratoryUniversity of Geneva2, rue de Candolle, ... help-ing developing nations ?1.c) make mistake: We could look backand probably see a lot of mistakesthat all parties including Canadaperhaps may have made.3 Multilingual Extraction ResultsIn...
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Text extraction from name cards using neural network
... naturally the best way to analyze these features. Theoretically, a Backpropagation neural network can handle any nonlinear relationship after training including the complicated inter-relationship ... basic spatial features, i.e., width and height, there are totally 14 features used for the neural network analysis. D. Contours classification using neural network We extract the above features ... A recent application of document engineering is found in name card scanners which readily capture name card images followed by optical character recognition (OCR) to build a name card database....
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Tài liệu Using Windows Vista on a Corporate Mobile Network docx
... broadcast area. If the AP is broadcasting beyond a range where you need it tooperate, reduce its signal strength and/or redirect the signal to avoid problems with any casual wardrivers.Use a ... seven.As a network administrator, he has supported Active Directory domains and worked with enterprise applicationssuch as SQL Server, Exchange and SMS. As a Microsoft Certified Trainer, he has also ... profile to disable the validation of the RADIUS Server certificate when using PEAP-MS-CHAPv2 authentication and enabling Single Sign On. The network administrator might make the laptop a member of...
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Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc
... Therefore,it appears logical that a feedforward backpropagation-typeANN which has high computational capability can implementan SVM algorithm. Note that the ANN has inherent learningcapability that can ... linearundermodulation region. A neural network has the advantageof very fast implementation of an SVM algorithm, particularlywhen a dedicated application-specific IC chip is used insteadof a ... bias timeand variable .The digital word corresponding toas afunction of angle for both and states in all the phasesand in all the modes can be generated by simulation for training a neural network. ...
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Tài liệu Báo cáo khoa học: "A Novel Feature-based Approach to Chinese Entity Relation Extraction" ppt
... Exploration of the Feature Space for Relation Extraction. In proceedings of NAACL/HLT, pages 113-120. Nanda Kambhatla. 2004. Combining Lexical, Syntactic, and Semantic Features with Maximum Entropy ... tree-kernel approaches are not suitable for Chinese, at least at current stage. In this paper, we study a feature-based approach that basically integrates entity related information with context ... syntactic parse tree and dependency parse tree. Their experiments showed that using only the basic unit features within each feature subspace can already achieve state-of-art performance,...
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Tài liệu Báo cáo khoa học: "Choosing the Word Most Typical in Context Using a Lexical Co-occurrence Network" ppt
... face the task. There are two reasons why the approach doesn't do as well as an automatic approach ought to. First, as mentioned above, our method of evaluation is not ideal; it may make ... The semantic and stylistic differentiation of synonyms and near-synonyms. In AAAI Spring Symposium on Building Lexicons for Machine Translation, pages 114 121, Stanford, CA, March. Elhadad, ... We replaced each occurrence by a 'gap' that the program then had to fill. We compared the 'correct- ness' of the choices made by our program to the baseline of always choosing...
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