CRF++-0.54注释版资源-CSDN文库

crf++

0.54

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共182个文件

o：22个

h：19个

html：17个

CRF++-0.54 注释版是一个用于自然语言处理（NLP）的开源工具，它基于条件随机场（Conditional Random Fields, CRFs）的算法。条件随机场是一种统计建模方法，常用于序列标注任务，如词性标注、命名实体识别（NER）、句法分析和机器翻译等。下面我们将深入探讨CRF++及其在NLP中的应用。 **条件随机场（CRFs）基础** 条件随机场是一种概率模型，适用于标注序列数据。与朴素贝叶斯或最大熵模型不同，CRFs考虑了上下文信息，可以捕捉相邻元素之间的依赖关系。在NLP中，这种特性使其特别适合处理具有连贯性的文本序列任务。 **CRF++特点** 1. **开源**: CRF++是完全免费且开源的，允许开发者对其进行修改和扩展，以适应特定的NLP任务需求。 2. **跨平台**: CRF++支持多种操作系统，包括Windows、Linux和Mac OS，这使得它在各种开发环境中都能使用。 3. **易于使用**: CRF++提供了一套简洁的API和命令行工具，使得非专业程序员也能轻松上手。 4. **高效**: 作为C++实现，CRF++在训练和预测阶段都有良好的性能表现，尤其在大规模数据集上。 5. **注释**: 提供的注释版有助于理解代码实现细节，便于学习和调试。 **应用示例** 1. **命名实体识别（NER）**: CRF++可以帮助识别文本中的人名、地名、组织名等实体，这对于信息抽取和知识图谱构建至关重要。 2. **句法分析**: 在分析句子结构时，CRF++可以标注词性、短语结构和依存关系，帮助理解句子的深层结构。 3. **信息提取**: 通过CRF++，可以从大量文本中自动抽取出关键信息，如事件、日期和数值。 4. **机器翻译**: 在翻译系统中，CRF++可以用来进行词汇和短语的对齐，提高翻译质量。 5. **文档分类**: 在文本分类任务中，CRF++可以用于确定文本的主题或情感。 **CRF++工作流程** CRF++的工作流程主要包括数据预处理、模型训练、模型评估和预测四个步骤： 1. **数据预处理**: 需要将原始文本转化为CRF++可读的格式，通常包括分词、标注和特征提取。 2. **模型训练**: 使用标记好的数据集训练CRF模型，通过迭代优化参数以最大化似然函数。 3. **模型评估**: 通过交叉验证或其他评估指标（如F1分数）来评估模型的性能。 4. **预测**: 使用训练好的模型对新的未标注数据进行标注预测。 **CRF++的局限性和改进** 虽然CRF++在许多NLP任务中表现出色，但它也有一些局限性，如对长距离依赖的处理不够理想，以及训练过程可能较慢。近年来，随着深度学习技术的发展，如循环神经网络（RNNs）和Transformer等模型在NLP领域取得了显著进步，这些方法在处理长距离依赖和提升训练速度方面有明显优势。尽管如此，CRF++仍因其简单性和有效性，在某些特定场景下保持其重要地位。 CRF++-0.54 注释版是一个强大的工具，对于学习和实践NLP中的条件随机场方法非常有用。通过深入理解和使用此工具，开发者可以更好地解决实际的自然语言处理问题，并为自己的项目或研究提供强大支持。

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CRF++- 0.54 注释版（182个子文件）

libcrfpp.so.0 283KB

libcrfpp.so.0.0.0 283KB

libcrfpp.a 452KB

Makefile.am 3KB

AUTHORS 28B

CRFPP_wrap.c 52KB

crfpp.cfg 55KB

ChangeLog 0B

configure 550KB

COPYING 164B

CRFPP_wrap.cpp 112KB

tagger.cpp 15KB

lbfgs.cpp 14KB

encoder.cpp 13KB

feature_index.cpp 12KB

libcrfpp.cpp 7KB

param.cpp 6KB

feature.cpp 5KB

example.cpp 2KB

node.cpp 2KB

feature_cache.cpp 840B

path.cpp 732B

crf_learn.cpp 251B

crf_test.cpp 249B

crf_learn 7KB

crf_learn 5KB

crf_test 7KB

crf_test 5KB

doxygen.css 9KB

default.css 3KB

tabs.css 2KB

CRFPP_wrap.cxx 150KB

CRFPP_wrap.cxx 109KB

CRFPP_wrap.cxx 33KB

test.data 284KB

test.data 252KB

test.data 202KB

train.data 109KB

train.data 25KB

train.data 20KB

test.data 8KB

train.data 8KB

depcomp 15KB

foo 1.69MB

tab_r.gif 3KB

tab_l.gif 706B

tab_b.gif 35B

config.guess 43KB

darts.h 13KB

crfpp.h 10KB

common.h 7KB

tagger.h 6KB

feature_index.h 5KB

mmap.h 5KB

config.h 3KB

param.h 2KB

lbfgs.h 2KB

node.h 2KB

scoped_ptr.h 2KB

thread.h 2KB

freelist.h 1KB

timer.h 1KB

stream_wrapper.h 1KB

path.h 890B

feature_cache.h 797B

encoder.h 667B

version.h 43B

crfpp_8h.html 60KB

classCRFPP_1_1Tagger.html 47KB

crfpp_8h-source.html 45KB

index.html 25KB

classCRFPP_1_1Tagger-members.html 13KB

functions.html 8KB

functions_func.html 8KB

globals.html 6KB

globals_func.html 6KB

namespaceCRFPP.html 5KB

namespacemembers.html 2KB

namespacemembers_func.html 2KB

globals_type.html 2KB

files.html 1KB

annotated.html 1KB

namespaces.html 1KB

index.html 1KB

CRFPP.i 693B

Makefile.in 28KB

configure.in 5KB

config.h.in 3KB

Makefile.msvc.in 958B

version.h.in 48B

INSTALL 8KB

install-sh 9KB

Tagger.java 4KB

CRFPPJNI.java 3KB

test.java 2KB

SWIGTYPE_p_p_char.java 713B

SWIGTYPE_p_float.java 709B

SWIGTYPE_p_int.java 701B

CRFPPConstants.java 499B

CRFPP.java 449B

共 182 条

CRF++: Yet Another CRF Tool Kit Copyright (C) 2005-2009 Taku Kudo, All rights reserved. reading training data: 100.. 200.. 300.. 400.. 500.. 600.. 700.. 800.. 900.. 1000.. Done!0.31 s Number of sentences: 1000 Number of features: 24 Number of thread(s): 1 Freq: 1 eta: 0.00010 C: 1.00000 shrinking size: 20 Z = 38.81624 Z = 20.79442 Z = 19.40812 Z = 79.01878 Z = 22.18071 Z = 137.24314 Z = 248.14669 Z = 292.50811 Z = 264.78222 Z = 225.96598 Z = 109.51725 Z = 230.12486 Z = 318.84770 Z = 230.12486 Z = 36.04365 Z = 23.56700 Z = 26.33959 Z = 73.47360 Z = 511.54262 Z = 225.96598 Z = 170.51421 Z = 274.48628 Z = 267.55481 Z = 292.50811 Z = 377.07207 Z = 164.96903 Z = 12.47665 Z = 70.70101 Z = 130.31167 Z = 15.24924 Z = 209.33045 Z = 284.19034 Z = 433.91014 Z = 151.10609 Z = 73.47360 Z = 36.04365 Z = 12.47665 Z = 34.65736 Z = 167.74162 Z = 259.23705 Z = 317.46141 Z = 6.93147 Z = 353.50506 Z = 532.33703 Z = 65.15583 Z = 15.24924 Z = 94.26802 Z = 8.31777 Z = 16.63553 Z = 40.20254 Z = 62.38325 Z = 571.15328 Z = 134.47055 Z = 170.51421 Z = 40.20254 Z = 9.70406 Z = 195.46750 Z = 56.83807 Z = 22.18071 Z = 27.72589 Z = 166.35532 Z = 360.43653 Z = 399.25278 Z = 38.81624 Z = 8.31777 Z = 166.35532 Z = 15.24924 Z = 191.30862 Z = 278.64517 Z = 328.55176 Z = 23.56700 Z = 26.33959 Z = 98.42690 Z = 97.04061 Z = 162.19644 Z = 184.37715 Z = 70.70101 Z = 37.42995 Z = 260.62334 Z = 120.60761 Z = 364.59542 Z = 184.37715 Z = 274.48628 Z = 145.56091 Z = 40.20254 Z = 26.33959 Z = 18.02183 Z = 189.92233 Z = 216.26192 Z = 259.23705 Z = 29.11218 Z = 106.74467 Z = 198.24009 Z = 214.87563 Z = 216.26192 Z = 40.20254 Z = 145.56091 Z = 56.83807 Z = 92.88172 Z = 181.60456 Z = 101.19949 Z = 13.86294 Z = 142.78832 Z = 13.86294 Z = 41.58883 Z = 67.92842 Z = 66.54213 Z = 148.33350 Z = 164.96903 Z = 214.87563 Z = 73.47360 Z = 97.04061 Z = 15.24924 Z = 113.67614 Z = 135.85685 Z = 13.86294 Z = 73.47360 Z = 138.62944 Z = 110.90355 Z = 16.63553 Z = 81.79137 Z = 123.38020 Z = 16.63553 Z = 4.15888 Z = 274.48628 Z = 407.57054 Z = 213.48933 Z = 133.08426 Z = 220.42080 Z = 16.63553 Z = 153.87867 Z = 77.63248 Z = 160.81015 Z = 69.31472 Z = 16.63553 Z = 187.14974 Z = 199.62639 Z = 271.71369 Z = 359.05024 Z = 167.74162 Z = 189.92233 Z = 70.70101 Z = 203.78527 Z = 239.82892 Z = 182.99086 Z = 214.87563 Z = 192.69492 Z = 189.92233 Z = 37.42995 Z = 144.17461 Z = 123.38020 Z = 127.53908 Z = 112.28984 Z = 70.70101 Z = 117.83502 Z = 160.81015 Z = 58.22436 Z = 51.29289 Z = 108.13096 Z = 127.53908 Z = 194.08121 Z = 177.44568 Z = 146.94720 Z = 144.17461 Z = 108.13096 Z = 31.88477 Z = 33.27106 Z = 140.01573 Z = 196.85380 Z = 162.19644 Z = 192.69492 Z = 113.67614 Z = 91.49543 Z = 153.87867 Z = 58.22436 Z = 141.40202 Z = 87.33654 Z = 110.90355 Z = 177.44568 Z = 4.15888 Z = 189.92233 Z = 178.83197 Z = 36.04365 Z = 130.31167 Z = 232.89745 Z = 9.70406 Z = 105.35837 Z = 84.56396 Z = 296.66699 Z = 158.03756 Z = 173.28680 Z = 15.24924 Z = 155.26497 Z = 141.40202 Z = 180.21827 Z = 74.85990 Z = 27.72589 Z = 112.28984 Z = 16.63553 Z = 135.85685 Z = 153.87867 Z = 72.08731 Z = 142.78832 Z = 144.17461 Z = 16.63553 Z = 95.65431 Z = 174.67309 Z = 95.65431 Z = 52.67919 Z = 112.28984 Z = 159.42385 Z = 231.51116 Z = 91.49543 Z = 19.40812 Z = 12.47665 Z = 120.60761 Z = 12.47665 Z = 76.24619 Z = 12.47665 Z = 90.10913 Z = 12.47665 Z = 105.35837 Z = 12.47665 Z = 109.51725 Z = 12.47665 Z = 94.26802 Z = 12.47665 Z = 140.01573 Z = 8.31777 Z = 12.47665 Z = 94.26802 Z = 8.31777 Z = 9.70406 Z = 4.15888 Z = 5.54518 Z = 128.92538 Z = 109.51725 Z = 196.85380 Z = 442.22790 Z = 223.19339 Z = 264.78222 Z = 18.02183 Z = 2.77259 Z = 12.47665 Z = 13.86294 Z = 8.31777 Z = 12.47665 Z = 13.86294 Z = 9.70406 Z = 11.09035 Z = 12.47665 Z = 11.09035 Z = 9.70406 Z = 13.86294 Z = 12.47665 Z = 11.09035 Z = 15.24924 Z = 8.31777 Z = 8.31777 Z = 13.86294 Z = 13.86294 Z = 12.47665 Z = 11.09035 Z = 9.70406 Z = 6.93147 Z = 13.86294 Z = 13.86294 Z = 11.09035 Z = 11.09035 Z = 12.47665 Z = 9.70406 Z = 12.47665 Z = 13.86294 Z = 13.86294 Z = 12.47665 Z = 11.09035 Z = 12.47665 Z = 13.86294 Z = 8.31777 Z = 12.47665 Z = 13.86294 Z = 9.70406 Z = 15.24924 Z = 13.86294 Z = 8.31777 Z = 11.09035 Z = 12.47665 Z = 11.09035 Z = 11.09035 Z = 5.54518 Z = 12.47665 Z = 11.09035 Z = 12.47665 Z = 15.24924 Z = 13.86294 Z = 13.86294 Z = 15.24924 Z = 9.70406 Z = 9.70406 Z = 12.47665 Z = 12.47665 Z = 4.15888 Z = 11.09035 Z = 6.93147 Z = 15.24924 Z = 11.09035 Z = 9.70406 Z = 13.86294 Z = 6.93147 Z = 6.93147 Z = 12.47665 Z = 13.86294 Z = 2.77259 Z = 18.02183 Z = 1.38629 Z = 2.77259 Z = 9.70406 Z = 6.93147 Z = 5.54518 Z = 2.77259 Z = 220.42080 Z = 214.87563 Z = 207.94415 Z = 110.90355 Z = 140.01573 Z = 91.49543 Z = 146.94720 Z = 37.42995 Z = 6.93147 Z = 4.15888 Z = 36.04365 Z = 90.10913 Z = 397.86648 Z = 274.48628 Z = 298.05329 Z = 207.94415 Z = 414.50201 Z = 13.86294 Z = 37.42995 Z = 49.90660 Z = 9.70406 Z = 6.93147 Z = 9.70406 Z = 4.15888 Z = 29.11218 Z = 90.10913 Z = 293.89440 Z = 472.72638 Z = 249.53299 Z = 181.60456 Z = 155.26497 Z = 262.00963 Z = 142.78832 Z = 214.87563 Z = 12.47665 Z = 4.15888 Z = 8.31777 Z = 9.70406 Z = 8.31777 Z = 5.54518 Z = 5.54518 Z = 8.31777 Z = 6.93147 Z = 5.54518 Z = 6.93147 Z = 8.31777 Z = 5.54518 Z = 9.70406 Z = 8.31777 Z = 12.47665 Z = 5.54518 Z = 5.54518 Z = 11.09035 Z = 12.47665 Z = 8.31777 Z = 6.93147 Z = 9.70406 Z = 8.31777 Z = 5.54518 Z = 5.54518 Z = 6.93147 Z = 8.31777 Z = 5.54518 Z = 5.54518 Z = 8.31777 Z = 8.31777 Z = 11.09035 Z = 11.09035 Z = 6.93147 Z = 19.40812 Z = 24.95330 Z = 4.15888 Z = 36.04365 Z = 11.09035 Z = 206.55786 Z = 414.50201 Z = 384.00354 Z = 327.16547 Z = 553.13145 Z = 184.37715 Z = 408.95684 Z = 266.16852 Z = 146.94720 Z = 280.03146 Z = 85.95025 Z = 16.63553 Z = 34.65736 Z = 54.06548 Z = 90.10913 Z = 257.85075 Z = 237.05634 Z = 421.43349 Z = 332.71065 Z = 342.41471 Z = 184.37715 Z = 6.93147 Z = 152.49238 Z = 246.76040 Z = 24.95330 Z = 99.81319 Z = 58.22436 Z = 59.61066 Z = 24.95330 Z = 152.49238 Z = 234.28375 Z = 155.26497 Z = 128.92538 Z = 49.90660 Z = 65.15583 Z = 146.94720 Z = 151.10609 Z = 152.49238 Z = 170.51421 Z = 85.95025 Z = 30.49848 Z = 174.67309 Z = 246.76040 Z = 23.56700 Z = 80.40507 Z = 141.40202 Z = 347.95988 Z = 103.97208 Z = 20.79442 Z = 137.24314 Z = 30.49848 Z = 106.74467 Z = 121.99390 Z = 103.97208 Z = 20.79442 Z = 88.72284 Z = 217.64821 Z = 120.60761 Z = 124.76649 Z = 5.54518 Z = 124.76649 Z = 95.65431 Z = 15.24924 Z = 133.08426 Z = 185.76344 Z = 203.78527 Z = 12.47665 Z = 310.52994 Z = 15.24924 Z = 256.46446 Z = 29.11218 Z = 8.31777 Z = 212.10304 Z = 40.20254 Z = 163.58273 Z = 304.98476 Z = 199.62639 Z = 37.42995 Z = 117.83502 Z = 184.37715 Z = 67.92842 Z = 142.78832 Z = 199.62639 Z = 52.67919 Z = 27.72589 Z = 135.85685 Z = 216.26192 Z = 170.51421 Z = 141.40202 Z = 29.11218 Z = 160.81015 Z = 220.42080 Z = 203.78527 Z = 167.74162 Z = 16.63553 Z = 48.52030 Z = 246.76040 Z = 137.24314 Z = 33.27106 Z = 187.14974 Z = 65.15583 Z = 239.82892 Z = 106.74467 Z = 34.65736 Z = 80.40507 Z = 109.51725 Z = 471.34008 Z = 238.44263 Z = 130.31167 Z = 278.64517 Z = 335.48324 Z = 98.42690 Z = 119.22132 Z = 19.40812 Z = 52.67919 Z = 213.48933 Z = 88.72284 Z = 84.56396 Z = 13.86294 Z = 58.22436 Z = 271.71369 Z = 237.05634 Z = 212.10304 Z = 142.78832 Z = 127.53908 Z = 126.15279 Z = 176.05938 Z = 189.92233 Z = 273.09999 Z = 201.01268 Z = 19.40812 Z = 15.24924 Z = 29.11218 Z = 116.44873 Z = 90.10913 Z = 128.92538 Z = 108.13096 Z = 228.73857 Z = 44.36142 Z = 18.02183 Z = 4.15888 Z = 34.65736 Z = 13.86294 Z = 19.40812 Z = 12.47665 Z = 91.49543 Z = 140.01573 Z = 206.55786 Z = 180.21827 Z = 184.37715 Z = 339.64212 Z = 164.96903 Z = 295.28070 Z = 16.63553 Z = 106.74467 Z = 185.76344 Z = 106.74467 Z = 227.35228 Z = 105.35837 Z = 33.27106 Z = 160.81015 Z = 124.76649 Z = 97.04061 Z = 133.08426 Z = 192.69492 Z = 92.88172 Z = 185.76344 Z = 231.51116 Z = 15.24924 Z = 84.56396 Z = 194.08121 Z = 234.28375 Z = 221.80710 Z = 220.42080 Z = 178.83197 Z = 196.85380 Z = 34.65736 Z = 6.93147 Z = 140.01573

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