[[TopPage]] [[CRL固有表現データ>http://nlp.cs.nyu.edu/irex/index-j.html]] ---- -CRF++ --[[download>http://www.chasen.org/~taku/software/CRF++/#download]] --[[関連文献>http://www.cis.upenn.edu/~pereira/papers/crf.pdf]] ---http://www.cnts.ua.ac.be/conll2000/chunking/ 固有表現抽出の学習 -学習コマンド crf_learn --crf_learn -a MIRA template train.data model -テストコマンド crf_test --crf_test -m model test.data -利用するファイル --template --train.data --test.data 実際のファイル -http://www.cnts.ua.ac.be/conll2000/chunking/train.txt.gz -http://www.cnts.ua.ac.be/conll2000/chunking/test.txt.gz [web@up NLP]$ cat train.data He PRP B-NP reckons VBZ B-VP the DT B-NP current JJ I-NP account NN I-NP deficit NN I-NP will MD B-VP narrow VB I-VP to TO B-PP only RB B-NP # # I-NP 1.8 CD I-NP billion CD I-NP in IN B-PP September NNP B-NP . . O He PRP B-NP reckons VBZ B-VP [web@up NLP]$ cat template # Unigram U00:%x[-2,0] U01:%x[-1,0] U02:%x[0,0] U03:%x[1,0] U04:%x[2,0] U05:%x[-1,0]/%x[0,0] U06:%x[0,0]/%x[1,0] U10:%x[-2,1] U11:%x[-1,1] U12:%x[0,1]q U13:%x[1,1] U14:%x[2,1] U15:%x[-2,1]/%x[-1,1] U16:%x[-1,1]/%x[0,1] U17:%x[0,1]/%x[1,1] U18:%x[1,1]/%x[2,1] U20:%x[-2,1]/%x[-1,1]/%x[0,1] U21:%x[-1,1]/%x[0,1]/%x[1,1] U22:%x[0,1]/%x[1,1]/%x[2,1] [web@up NLP]$ crf_learn -a MIRA template train.data model CRF++: Yet Another CRF Tool Kit Copyright(C)2005-2007 Taku Kudo, All rights reserved. reading training data: Done!0.00 s Number of sentences: 2 Number of features: 1800 Number of thread(s): 1 Freq: 1 eta: 0.00010 C: 1.00000 shrinking size: 20 Algorithm: MIRA iter=0 terr=0.66667 serr=0.50000 act=2 uact=0 obj=0.30126 kkt=12.00000 iter=1 terr=0.16667 serr=0.50000 act=2 uact=0 obj=0.36494 kkt=2.84937 iter=2 terr=0.00000 serr=0.00000 act=2 uact=0 obj=0.36494 kkt=0.00000 iter=3 terr=0.00000 serr=0.00000 act=2 uact=0 obj=0.36494 kkt=0.00000 Done!0.00 s [web@up NLP]$ crf_test -m model test.data He PRP B-NP B-NP reckons VBZ B-VP B-VP the DT B-NP B-NP current JJ I-NP I-NP account NN I-NP I-NP deficit NN I-NP I-NP will MD B-VP B-VP narrow VB I-VP I-VP to TO B-PP B-PP only RB B-NP B-NP # # I-NP I-NP 1.8 CD I-NP I-NP billion CD I-NP I-NP in IN B-PP B-PP September NNP B-NP B-NP . . O O He PRP B-NP B-NP reckons VBZ B-VP B-VP