... Log-probability -19.65 -20 .37 -20 .40 -21 .19 -21 .29 -21 .75 -21 .95 -22 .08 -22 . 12 -22 .23 -22 .36 -22 .37 Table 1: Interpretations of Lapata and Lascarides (20 03) for finish video Lapata and Lascarides (20 03) extend ... at record on Log-prob -19.68 -19.84 -20 .58 -20 .60 -20 .69 -20 .87 -20 .93 -21 .26 -21 .29 -21 .31 -21 . 72 -21 .73 -22 .23 -22 .38 enjoy book Interpretations read write work on look at read in write in browse ... and using the finish video Interpretations view watch shoot edit film on film view on make edit of play direct sort look at record on Log-prob -19.68 -19.84 -20 .58 -20 .60 -20 .69 -20 .87 -20 .93 -21 .26 ...
... 1997-1999 N 1998-1999 X 1997 -20 00 Y 1998 -20 00 Total Number of Words Increasing Words Constant Words Decreasing Words 443 55 24 3 145 360 59 187 114 4 72 69 25 2 151 3 92 82 200 110 Table Relation between ... Processing Society of Japan, 39(7), (pp 22 50 -22 58) Passonneau, R.J., & Litman, D.J (1997) Discourse Segmentation by Human and Automated Means Computational Linguistics, 23 (1), (pp 103-139) Quinlan, J.R ... much easier and more correct by using these entities analysis 3 .2 The Slope and the Slice of Regression Straight Line (α &β): Regression analysis is a statistical method, which approximates the...
... given level in order to produce clusters For example, this method, applied on a population of 22 1 NPs (data set 1) gives 2This filtering method is mandatory, given that the chosen clustering algorithm ... quality of the clustering procedure • in the majority of the works using clustering methods, the evaluation of the quality of the method used is based on recall and precision parameters In our case, ... predicateargument structures In 28 th Annual Meeting l line //conceptual field// : structure //typell : o b j e c t //labels// : LINE, ELECTRIC LINE, OVERHEAD LINE Figure 2: a partial description of...
... “AllMRR” of the method were presented Arabic Baseline Winnow All- Core All- Core MRR MRR MRR MRR 0 .20 0.53 0 .22 0.61 Chinese 0 .25 0.49 0 .25 0.50 Hindi 0.30 0.69 0.36 0.86 Korean 0.30 0.71 0 .29 0.69 ... [1] (Mitchell, T., 1997) X = {x1, x2 , xn} W = {w1, w2 , wn} f (x) = if w0 + wx1 + w2 x2 + + wn xn > [1] -1 otherwise n [2] i =1 The output of equation [2] is termed the target node activation ... 0.74 0. 72 Hindi 0.87 0.91 0.91 Korean 0. 82 0.85 0. 82 Table MRRs of the phonetic transliteration The baseline was computed using the phonetic transliteration method proposed in Tao et al (20 06)...
... probability of t h e event observed c t i m e s is c/(n + r) 28 1 test set-1 100,000 2, 465,441 3,906 ,26 0 test set -2 5,000 122 ,064 1 92, 818 oqf(ci, < W T > , ) + a f ( c i 1Ci-1, < W T > , +a3f(ci) ... 33.3 Part of Speech Estimation Accuracy 0.95 char PP 20 32 128 71 ~"~ ~'**"" 0.9 /'"" 0.85 frequency one (49,653 words) There were 3, 120 distinct character unigrams and 55,486 distinct character ... Linguistics, 22 (2) :155-166 Eric Brill 1995 Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging Computational Linguistics, 21 (4):543-565...