... re-call of 55.1%, a precision of 71.9% and a resultingF-measure of 62.4% for the detectionof the class nonreferential. The overall classification accuracywas 75.1%.The advantage of using ... Clemente et al. (2004) reportthat in the GENIA corpus of medical abstracts thepercentage ofnonreferential it is as high as 44% of all instances of it. This may be due to the factthat abstracts ... part of the corpus.They report a final success rate of 92.2% on thetest corpus. Nowadays, most current coreferenceresolution systems for written text include somemeans for the detectionof nonreferential...
... performance of our detector. Automatic Detectionof Grammar Elements that Decrease ReadabilityMasatoshi Tsuchiya and Satoshi SatoDepartment of Intelligence Science and Technology,Graduate School of ... 359 sentences. So,the recall ofautomaticdetectionof grammar ele-ments is 61%, and the precision is 90%. The ma-jor reason of these failures is strictness of severalrules; several rules ... Modified by HandKNPJuman Detection ConvertedAutomaticallyLoadedSentenceMorphologicalAnalysisSyntactic Analysis +Detection against morphmes and bunsetsues Detection againstmodifier-modifeerelationships+...
... Statistics of the BioScope corpus. The 2nd and 3dcolumns show the total number of cues within the datasets; the4th and 5th columns show the percentage of negated and spec-ulative sentences.70% of ... neighboring identical siblings of type *scope* or * are replaced by a single node of the corresponding type. Figure 3 shows an example of this transformation.(a) The children of nodes JJ/NN/NN arepruned ... children (starting from the root of the subtree) to the rule pattern subtree. Nodes of type *scope* and * match any number of nodes,similar to the semantics of Regex Kleene star (*).5 ResultsAs...
... errors.5 Automatic Correction of ErrorsIn this section we propose our algorithm for auto-matic correction of errors, which consists out of the following steps:1. Automaticdetectionof error ... the result of ambiguity or errors. 4 AutomaticDetectionof ErrorsWe propose a different approach. We take the Eng-lish dependency treebank and train models with two different state of the art ... we were not able to find a lot of work on the topic of error detection in treebanks. Some organisers of shared tasks usually try to guarantee a certain quality of the used data, but the quality...
... large inventory of normalized mathematical indexes of abnormality. It is the pattern of these mathematical indexes of abnormality, ob-tained from analysis of multiple cardiac cycles of the resting ... (0.86-0.903).(Figure 2). The coordinates of the curve confirmed that a cut-off score of 4.0 pro-vides the best combination of sensitivity and specific-ity for the prediction of relevant coronary stenosis ... assumptions about the distribution of the data (normal distribution) were not violated. Discussion The overall sensitivity of 91% and specificity of 85% of the MCG device in this meta-analysis...
... completely absent in sediment where high prevalence of bacteria was observed. Thus the negative results may be because of low detection efficiency Journal of Water and Environment Technology, Vol. 7, ... visualized by UV illumination. Evaluation of recovery rate of preparation method for viruses in sediment As a surrogate of RNA viruses, Sabin strain of Poliovirus type 1 was spiked into the sediment ... DISCUSSION Evaluation of recovery rate of preparation method for viruses in sediment Figure 4 shows recovery rates of RNA and DNA viruses. Recovery rate (geometric mean) of Poliovirus (RNA virus)...
... the combination of bands 5, 4 and 1 which is of great efficacy for the aims of our analysis. In Figures 1 and 2 the set of bands 5, 4 and 1 are depicted respectivelyfor the month of May 1994 and ... algorithms for the detectionof waste areas using LANDSAT TMimages.It is worth of noting that the 30 meters spatial resolution of the Landsat-TM sensormakes the process of detecting waste ... and March 1997. The fusion of selected bands defines a three-dimensional feature space whose point coordinates represent the intensity values of eachband; the detectionof clusters in the feature...
... actualenforcement of these policies. Many of ourdesign decisions were influenced by the lack of verifiable enforcement mechanisms for certainsecurity phenomena. An example of this isDenial of Service ... providerequired by policies. Often it suffices to reasonabout connectivity to analyze availability of services to groups of users. For instance, instead of modeling all the details of a file server, we ... environment. This generally leadseither to over or under management of resourses.One of the specific goals of this work ismanagement of security configurations innetworks that span multiple administrativedomains...
... either100 pg of DENV-1-, 1 ng of DENV-2-, 100 pg of DENV-3- or 1 ng of DENV-4-infected C6 ⁄ 36 cells total RNA wasused for cocktail PCR. The primer cocktail was composed of 100 nm each of 1G1P1, ... of a combination of 10 PCR primers to be used in a singlehigh-sensitivity mixed PCR reaction for the detectionof dengue virus. Pri-mer sequences were computed such that their probability of ... characterization of the virus.These results provide a demonstration of the highprojected sensitivity of human-blind dengue primersand the operation of the primer cocktail strategy fordengue virus detection. ...
... the development of varia-tions of the traditional 2D-gel approach,and the applica-tion of these has resulted in the identification of potentialnew biomarkers for early detectionof disease.Differentialin-gel ... urine have proven tobe a rich source of biomarkers for the early detection of cancer.The blood proteome changes constantly as aconsequence of the perfusion of the diseased organadding,subtracting ... Development of a novel proteomicapproach for the detectionof transitional cell carcinoma of the bladder in urine. Am. J. Pathol. 158, 1491–1502(2001).53. Petricoin, E. F. et al. Use of proteomic...