speakers intention prediction using statistics

... 229–232, Columbus, Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Speakers Intention Prediction Using Statistics of Multi-level Features in a Schedule Management Domain Donghyun ... domain knowledge. Most previous researches on speakers intentions have been focused on intention identification tech- niques. On the contrary, intention prediction tech- niques have been not studied ... and Table 4, Accuracy-S means the ac- curacy of system’s intention prediction, and Accu- racy-U means the accuracy of user’s intention prediction. Based on these experimental results, we found...

Ngày tải lên: 17/03/2014, 02:20

... improve pronoun resolution using the statistics- based semantic compatibility information. We investigate two unexplored issues that influence the effectiveness of such in- formation: statistics source ... pronominal anaphora resolution using automatically computed semantic compatibility information. We propose to enhance the utility of the statistics- based knowledge from two aspects: Statistics source. Corpus-based ... Arbor, June 2005. c 2005 Association for Computational Linguistics Improving Pronoun Resolution Using Statistics- Based Semantic Compatibility Information Xiaofeng Yang †‡ Jian Su † Chew Lim Tan ‡ † Institute...

Ngày tải lên: 20/02/2014, 15:20

... context, the results obtained for search engine switch prediction using our EGH mixture model are quite impressive. In Fig. 5 we plot the results obtained using our algorithm for the May 2007 data (with ... stream, s. Prediction performance is reported in the form of precision v/s recall plots. 5.2 Results In the first experiment we study the effect of the length, W , of the preceding windows on prediction ... 95 0 10 20 30 40 50 60 70 80 90 100 Recall Precision Nov May Dec Figure 6: Search engine switch prediction perfor- mance using W = 16. Training sequence is from 1st half of Nov. 2006. Test sequences are from...

Ngày tải lên: 23/03/2014, 13:20

... signal segments. We aimed to improve the prediction performance: first, using new nonlinear features (detrended fluctuation analysis and sample entropy); second, using a multivariable nonlinear classifier ... influence the outcome prediction. Many studies have proposed specific TTT outcome prediction procedures. In [3], a set of time and fre- quency parameters from the ECG was presented using 24 Holter ... RESEARC H Open Access On the feasibility of tilt test outcome early prediction using ECG and pressure parameters FJ Gimeno-Blanes 1* , JL Rojo-Álvarez 3 , AJ Caamaño 3 ,...

Ngày tải lên: 21/06/2014, 01:20

Ngày tải lên: 21/06/2014, 08:20

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Ngày tải lên: 23/06/2014, 01:20

Ngày tải lên: 05/09/2013, 09:08

Ngày tải lên: 05/09/2013, 14:58

... the two classes is highly skewed. A prediction stating that all mutations were nonsevere would result in 89% prediction accuracy. However, the MCC of such a prediction is zero. Thus, the 25% value ... Effect of cut-off value on the prediction accuracy. The prediction accuracy, specificity, sensitivity, number of mutants classified and MCC values on training data using different activity thresholds ... al. Prediction of p53 mutant severity FEBS Journal 276 (2009) 4142–4155 ª 2009 The Authors Journal compilation ª 2009 FEBS 4145 Investigation and prediction of the severity of p53 mutants using...

Ngày tải lên: 18/02/2014, 11:20

... measures how well a machine translation overlaps with multiple human translations using n- gram co-occurrence statistics. N-gram precision in B LEU is computed as follows: ∑∑ ∑∑ ∈∈− ∈∈− − − = }{ }{ )( )( CandidatesCCgramn CandidatesCCgramn clip n gramnCount gramnCount p ... three new automatic evaluation measures based on longest common subsequence statistics and skip bigram co-occurrence statistics in the following sections. 3 Longest Common Subsequence 3.1 ROUGE-L ... higher than Y 2 using WLCS. We use the polynomial function of the form k α in the ROUGE evaluation package. In the next section, we introduce the skip-bigram co- occurrence statistics. 4...

Ngày tải lên: 20/02/2014, 16:20

... to the output answers). In order to further test the prediction power of our evaluation framework, we carried out a second QA evaluation, using a different evaluation guideline package: a flooded ... simulated it using the following methodology: 2/3 of the output answers rated correct of the systems ranked 1 st , 2 nd , 3 rd , and 6 th by the previous human evaluation have been intentionally ... correctness scores, second QA evaluation A Unified Framework for Automatic Evaluation using N-gram Co-Occurrence Statistics Radu SORICUT Information Sciences Institute University of Southern...

Ngày tải lên: 20/02/2014, 16:20

... the other dipoles. other dipoles.  Calculate total cross-section, using multipole-scattering Calculate total cross-section, using multipole-scattering approach. approach.  Can be used for ... dielectric Connect polarizability of small volume to dielectric function, using Clausius-Mossotti approximation function, using Clausius-Mossotti approximation Optical Properties of Nanoscale ... threshold for the lattice. lattice.  Optical properties calculated using Discrete Dipole Approximation Optical properties calculated using Discrete Dipole Approximation  Assume N is proportional...

Ngày tải lên: 15/03/2014, 23:50

... 138 EPA/600/R-03/030 March 2003 PREDICTION OF CHEMICAL REACTIVITY PARAMETERS AND PHYSICAL PROPERTIES OF ORGANIC COMPOUNDS FROM MOLECULAR STRUCTURE USING SPARC By S.H. Hilal and S.W. ... calculate molecular speciation as a function of pH, k zw , must be calculated. k zw may be determined using the left or the right path of the above scheme. Since both thermodynamic paths give the zwitterion ... k k = 2 The integrity of the pK a calculator in SPARC can be checked by calculating k zw using the two different loops. The RMS deviation in calculated versus measured pk zw s for the...

Ngày tải lên: 22/03/2014, 14:20

... corpus statistics to improve Web RE precision by validating and correcting the entities extracted by generic methods. The task of Web Extraction is particularly suited for the corpus statistics- based ... and Etzioni (2007) that deals with locating entities of arbitrary types in large corpora using corpus statistics. The IE systems most similar to SRES are based on bootstrap learning: Mutual ... 600–607, Prague, Czech Republic, June 2007. c 2007 Association for Computational Linguistics Using Corpus Statistics on Entities to Improve Semi-supervised Relation Extraction from the Web Benjamin...

Ngày tải lên: 23/03/2014, 18:20

... of Science, Earth Sciences 23 (2007) 116-121 116 Eutrophycation assessment and prediction of Bay Mau Lake using mathematical models Luu Lan Huong*, Trinh Thi Thanh, Nguyen Thi Thanh Nga College ... approximating the fluctuation of phosphorus in the lake (4.68 - 7.56) [4]. 3.2. Assessment and prediction of Bay Mau Lake eutrophycation by Jorgensen exchanging phosphorus model 3.2.1. Jorgensen ... 3.005 - 6.799mg/l. 3.1.4. Estimating eutrophic state of Bay Mau Lake by phosphorus parameter By using phosphorus indicator, there are two ways to assess the eutrophycation. The first one is...

Ngày tải lên: 28/03/2014, 15:20

... 25–30, Prague, June 2007. c 2007 Association for Computational Linguistics Automatic Prediction of Cognate Orthography Using Support Vector Machines Andrea Mulloni Research Group in Computational Linguistics HLSS, ... Proceedings of LREC '06, 2387-2390. Michel Simard, George F. Foster and Pierre Isabelle. 1992. Using Cognates to Align Sentences in Bilingual Corpora. Proceedings of the 4th International Conference ... SVMTool. At this point the focus switches over to the tool itself, which learns regular patterns using Support Vector Machines and then uses the information gathered to tag any possible list...

Ngày tải lên: 31/03/2014, 01:20

... Descriptive Statistics; Frequencies STATISTICA Statistics; Basic Statistics and Tables; Descriptive Statistics; Frequency Tables MATLAB tabulate(x) R table(x); prop.table(x) When using ... obtain measures of location. SPSS Analyze; Descriptive Statistics STATISTICA Statistics; Basic Statistics/ Tables; Descriptive Statistics MATLAB mean(x) ; trimmean(x,p) ; median(x) ; prctile(x,p) ... the categories of the dependent variable. Example 2.10 Q: Compute the lambda statistics for Table 2.4. A: Using formula 2.27 we find λ cr = 0.024, suggesting a non-helpful contribution...

Ngày tải lên: 08/04/2014, 09:58

Ngày tải lên: 21/06/2014, 16:20

Ngày tải lên: 21/06/2014, 20:20