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voto.it J BO Ad bunnies START END monsters eat tasty t2 - PDF document

Ooo Ooo Noun Eo EEEEE voto.it J BO Ad bunnies START END monsters eat tasty t2 Labels States Observation I be Can only in one state at time I have That Observation 2 assumed By we construction We features about


  1. Ooo Ooo Noun Eo EEEEE voto.it J BO Ad bunnies START END monsters eat tasty t2 Labels States Observation I be Can only in one state at time I have That Observation 2 assumed By we construction We features about adjacent only care relating labels words and This Observation 3 trellis path Through corresponds Any of X to labeling a unique E the b w Consider edge from Verb eat Adj and Tasty tasty adj verb adj E w weight

  2. How this does allow to compute us argmax if considered all we Naively just unique Paths wouldn't it But this structure permits Dynamic Programming for efficient Computation Viterbi Algorithm Define best to output up possible Qe k label for l K and including Ot denotes X ay K w Max e concatenation in L 1 l have Consider Assume 2 we Qs computed this to up point The 1 word eat 2 at is derive Now 03 Adj How Calculate want to To we this score States possible previous over Max 03 Adj t whom Adj Max Q2 Nan WTasty Adj t Verb t Q2 verb WTasty Adj Adj t t Q2 Adj WTasty Adj WAdj Adj

  3. for We this can generalize definition a recursive the that label denote 1 1 49 at CT position The achenes Max Init the 0 o K 4 Tk vector for position feature that l we Best score are given coming from at Now k f K and e zCxlk k Qe mna.xEQE.k.tw k H K to going Where to Transition from 4 but Same Erymax 1 k find At The best end can Seg K argmax last State K K backwards trace and

  4. features o O OO O u 2 z o Valve face 1 o I Pixel o terms 1 1 11 O into Coordinate Others Mayber O I 20 o o o Ii 0 o Marty features noT face face Transition to from neighbors Yci 2 j Il Yei Dj YiLj 1 Dynamic Program from Start o o proceed

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