... as type1, type 2, type 3, type 4, type 5, type 6, type 7, type 8, and type Contrast to gradable adjectives, non-gradable ones are found as type8, type 10 Stative adjectives as type 1, type2, typr3 ... type 1- dimension, type 2- physical property, type 3- speed, type 4- age, type5- color, type 6- value, type 7- difficult, type8- qualification, type 9- human propensity and type 10 - similarity, ... dimension, type 2- physical propensity, type 4- age, type 6- value, type 7- difficulty, type 8- qualification, type 9- human propensity and type 10 similarity The following examples would prove this: Type...
... inf{f1 (x1 ) + f2 (x2 ) : x1 + x2 = x} = tvnguyen (University of Science) inf y ∈IRn [f1 (y ) + f2 (x − y )] Convex Optimization 20 / 10 8 Chapter Convex sets and convex functions taking the infinity ... inf {f1 (x1 ) + f2 (x2 ) | x = x1 + x2 } Definition Let f1 and f2 be two functions from IRn to IR ∪ {+∞} Their infimal convolution is the function from IRn to IR ∪ {+∞} defined by (f1 ⊕ f2 )(x) ... sets in IRn +1 Let f1 , f2 be proper convex functions on IRn Let Fi = epi fi and let F = F1 + F2 Then F is convex Now (x, µ) ∈ F ⇔ ∃ (xi , µi ) s.t µi ≥ fi (x), µ = 1 + 2 , x = x1 + x2 So the...
... Frame 1: function displayCableText():String { var displayText:String; if (currentChannel != 0) { 10 11 displayText = "You are viewing "+channelNames[currentChannel]+"."; 12 13 } else { 14 15 displayText ... "+channelNames[currentChannel]+"."; 12 13 } else { 14 15 displayText = ""; 16 17 } 18 19 return displayText; 20 21 } 22 NOTE This is defined after the other functions but before the event handler ... myNumberFunction(param1:Number, param2:Boolean):Number{ //actions } A function set up to return a string value, this way: function myNumberFunction(param1:Number, param2:Boolean):String{ //actions...
... WordsFlags:0 :1: 0 (but E) WordsFlags:0 :1: 0 (but ) WordsFlags :1: 1:0 (E but ) WordsFlags :1: 1:0 ( that ) WordsFlags:0 :2: 0 (but E but ) etc .2 SentenceEdgeFlags:0 :1 (E) SentenceEdgeFlags:0 :2 (E ) SentenceEdgeFlags:0:3 ... 0. 827 0.8 41 0.843 0.843 0.8 41 F-score 0.756 expected f-score loss 0.7 91 0.797 0.797 0.798 0. 827 0. 828 0.856 0.8 52 0.850 0.857 Table 1: Edited word detection f-score on held-out data for a variety ... Processing, pages 21 83– Transcripts Published by Linguistic Data Consor 218 6 tium, Philadelphia Elizabeth Shriberg 19 94 Preliminaries to a Theory of Speech Disuencies Ph.D thesis, University of CaliJohn...
... = i P (e1 , e2 ) = P (ci , e) P (ci )P (e) C(e1 , e2 ) + C(e2 , e1 ) C(ei , ej ) ei ej C(e) e C(e ) P (e) = where C(e1 , e2 ) is the number of times that the ordered event pair (e1 , e2 ) was ... Following prior work (Chambers and Jurafsky, 20 08; Chambers and Jurafsky, 20 09; Manshadi et al., 20 08; McIntyre and Lapata, 20 09; McIntyre and Lapata, 20 10 ), we focus on gathering statistics about ... of 12 5 sentences, and used previously for story generation by McIntyre and Lapata (20 09) m f (e, c) = log P (e|ck ) + k =1 n log P (ck |e) k=m +1 where the conditional probability is defined as2...
... DIVISIBILITY OF ANTICYCLOTOMIC L-FUNCTIONS N(a )1 /2 |∆(a) |1/ 12 is equal to a unit times |∆(oK ) |1/ 12 But Ω∞ / (2 |∆(oK ) |1/ 12 ) is (up to a root of unity) equal to ( (2 i) 12 ∆(Ω∞ oK )) 1/ 12 By the ... | 1 | Ω∞ = , 1 /2 |η(dDτ ) |2 1 /2 |∆(A 1/ 12 2πN(a) 2 N(a) dD )| where AdD = Z 1 + ZdD 2 is a lattice of index dD in a Since the number (dD) 12 ∆(AdD )/∆(a) is an algebraic integer dividing (dD) 12 ... ) 1 eπiaz ϑ 1 /2 1 /2 (z, τ ), z = aτ + b Using this, an elementary calculation yields in the general situation of Lemma 3 .2 (Aa 1 +b 2 gj )(0) = eπi((α0 +j/n 1 /2) (n(b−β0 ) +1 /2) +a(nβ0 +1 /2) +1 /2) ...
... replace the context c and event e with larger equivalence classes 5 .1 Head Transducer 16 .2 11 .7 1. 09 0 .17 1. 67 0 .14 Table 1: Accuracy time, and space comparison Effectiveness Comparison English-Chinese ... edges in model Lexical entries Edges Choices Transfer 3 ,25 0 72, 18 0 10 0,4 72 Head Transducer 1 ,20 1 47, 910 67, 011 Table 2: Lexicon and model size comparison components Both systems include edges ... and H H Chen 19 92 "Attachment and Transfer of Prepositional Phrases with Constraint Propagation" Computer Processing of Chinese and Oriental Languages, Vol 6, No 2, 12 3 -1 42 Dorr, B.J 19 94 "Machine...