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Tài liệu Báo cáo khoa học: "Enhanced word decomposition by calibrating the decision threshold of probabilistic models and using a model ensemble" pdf

Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Enhanced word decomposition by calibrating the decision threshold of probabilistic models and using a model ensemble" pdf

... 2006).They used a natural language tagger which wastrained on the output of ParaMor and Morfes-sor. The goal was to mimic each algorithm sinceParaMor is rule-based and there is no access ... ap-proaches is based on the learning aspect during the construction of the morphological model. If the data for training the model has the same struc-ture as the desired output of the morphologicalanalysis, ... incorporating a probabilistic generative model. 1Their parameters can be estimatedfrom either labelled data, using maximum like-lihood estimates, or from unlabelled data by expectation maximization2which...
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Tài liệu Báo cáo khoa học: Enhanced thermostability of methyl parathion hydrolase from Ochrobactrum sp. M231 by rational engineering of a glycine to proline mutation pdf

Tài liệu Báo cáo khoa học: Enhanced thermostability of methyl parathion hydrolase from Ochrobactrum sp. M231 by rational engineering of a glycine to proline mutation pdf

... MPH a Forward: 5¢-TAGAATTCGCTGCTCCACAAGTTAGAACT-3¢Reverse: 5¢-TAGCGGCCGCTTACTTTGGGTTAACGACGGA-3¢Mutant MPHbG194P 5¢-CCTGACGATTCTAAACCGTTCTTCAAGGGTGCC-3¢G198P 5¢-AAAGGTTTCTTCAAGCCGGCCATGGCTTCCCTT-3¢G194P ... least three replicates. The Km and kcatval-ues were calculated by nonlinear regression using graphpadprism 5.0 (GraphPad Software Inc., La Jolla, CA, USA).Thermostability assay of WT and ... parameters of WT and mutant enzymeswere measured as described in the Materials and meth-ods, and the results are shown in Table 1. All mutantshad methyl parathion hydrolase activity, but the...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Improving Word Representations via Global Context and Multiple Word Prototypes" pdf

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8A3 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 1a+ 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...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Unsupervized Word Segmentation: the case for Mandarin Chinese" doc

... segmenta-tion of Mandarin Chinese data. The main drawbacks of ESA are the need to iterate the process on the corpus around 10 times to reachgood performance levels and the need to set a param-eter ... most of the types are bi- and trigrams (as unigrams are oftenhigh frequency grammatical words and trigrams the result of more or less productive a xations). There-fore the results of evaluations ... (2011) and Jin and Tanaka-Ishii (2006). A more compre-hensive state of the art can be found in (Zhao and Kit, 2008) and (Wang et al., 2011).In this paper we will show that we can correct the drawbacks...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Learning Word-Class Lattices for Definition and Hypernym Extraction" doc

... lexico-syntactic “hard” patterns in that they allow a par-tial matching by calculating a generative degree of match probability between the test instance and the set of training instances. Thanks ... ωjb0 otherwisewhere ωk a and ωjbare the a- th and b-th word classes of sk and sj, respectively. In other words, the matching score equals 1 if the a- th and the b-thtokens of the two ... like“dynamic programming was the brainchild of anamerican mathematician”, as well as informativesentences that are not definitional (e.g., they do nothave a hypernym), like “cubism was characterisedby...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Learning Word Vectors for Sentiment Analysis" ppt

... where the amount of labeled data is small relative to the amount of un-labeled data available. For all word vector models, we use 50-dimensional vectors.As a qualitative assessment of word represen-tations, ... doc-uments are associated with a label on a star ratingscale. We linearly map such star values to the inter-val s ∈ [0, 1] and treat them as a probability of pos-itive sentiment polarity. Using ... Sentiment AnalysisAndrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang,Andrew Y. Ng, and Christopher PottsStanford UniversityStanford, CA 94305[amaas, rdaly, ptpham, yuze, ang, cgpotts]@stanford.eduAbstractUnsupervised...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Joint Word Segmentation and POS Tagging using a Single Perceptron" docx

... a list of charactersVariables: candidate sentence item – a list of (word, tag) pairs;maximum word- length recordmaxlen for each tag; the agenda list agendas; the tag dictionary tagdict;startindex ... character, and combines each word with the partial candidates ending with its previous charac-ter. All input characters are processed in the sameway, and the final output is the best candidate ... which can influence the accuracy of the joint model. Here we consider the special character category features and the effect of the tag dictionary. The character category features(templates 15 and...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Discriminative Word Alignment with Conditional Random Fields" ppt

... both the Dice value and the Model 1translation probability as real-valued features foreach candidate pair, as well as a normalised score67over all possible candidate alignments for each tar-get ... is a strong alignment candidate. The sum of thesescores is also used as a feature. Each source word and POS tag pair are used as indicator featureswhich allow the model to learn particular words of ... model. Dice and Model 1 As we have access to only a small amount of word aligned data we wish to beable to incorporate information about word associ-ation from any sentence aligned data available....
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Direct Word Sense Matching for Lexical Substitution" ppt

... setting the results of the direct and indirect approaches are comparable. However, ad-dressing directly the binary classification task haspractical advantages and can yield high precisionvalues, as ... target word in the Senseval dataset. A classification in-stance is thus defined by a pair of source and targetwords and a given occurrence of the target word incontext. The instance should be classified ... Setting and DatasetTo investigate the direct sense matching problemit is necessary to obtain an appropriate dataset of examples for this binary classification task, alongwith gold standard annotation....
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "SenseLearner: Word Sense Disambiguation for All Words in Unrestricted Text" doc

... SENSELEARNER framework.Note that the semantic models are applicable onlyto: (1) words that are covered by the word categorydefined in the models; and (2) words that appeared atleast once in the ... developed by (Yuret, 2004), which combines two Naive Bayes sta-tistical models, one based on surrounding collocations and another one based on a bag of words around the target word. The statistical models ... et al., 1993), a balanced, semantically annotated dataset, with allcontent words manually tagged by trained lexicogra-phers. The input to the disambiguation algorithm consists of raw text. The...
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