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Description: This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet.-This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scan ner. digital camera or screenshot. The numbers can b e read on the screen. and written or copied to a spreadsheet.
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Size: 6030023 |
Author: 廖广军 |
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Description: In the process of copper flash smelting, lining temperature of reaction shaft and its inner wall sluggish play a very important role in lining life. Up to now, however-In the process of copper flash smelting. lining temperature of reaction shaft and its in ner wall sluggish play a very important role in l ining life. Up to now, however
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Size: 527968 |
Author: 小平 |
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Description: This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet. -This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scan ner. digital camera or screenshot. The numbers can b e read on the screen. and written or copied to a spreadsheet.
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Size: 7312909 |
Author: liuyangustc |
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Description: 一个介绍CRF及其应用的ppt.
简单的说明了原理,
使用方法,
以及在NER上面的应用
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Size: 235861 |
Author: renhui |
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Description: This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet.-This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scan ner. digital camera or screenshot. The numbers can b e read on the screen. and written or copied to a spreadsheet.
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Size: 6029312 |
Author: 廖广军 |
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Description: Standord Classifier实现了一个基于Java的最大熵分类器。用于模式识别,特别是自然语言处理方面的应用。-Stanford Classifier achieved a Java-based Maximum Entropy classifier. For pattern recognition, especially natural language processing the application.
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Size: 235520 |
Author: 王志强 |
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Description: In the process of copper flash smelting, lining temperature of reaction shaft and its inner wall sluggish play a very important role in lining life. Up to now, however-In the process of copper flash smelting. lining temperature of reaction shaft and its in ner wall sluggish play a very important role in l ining life. Up to now, however
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Size: 527360 |
Author: |
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Description: This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scanner, digital camera or screenshot. The numbers can be read on the screen, and written or copied to a spreadsheet. -This digitizing software tool converts an image file showing a graph or map, into numbers. The image file can come from a scan ner. digital camera or screenshot. The numbers can b e read on the screen. and written or copied to a spreadsheet.
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Size: 7312384 |
Author: liuyangustc |
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Description: C Sharp Mp3播放器 类似WINMAP-C Sharp Mp3 player similar WINMAP
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Size: 237568 |
Author: sohn |
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Description: 通达OA破解补丁
2.NBR6316CHS.exe为语言包,安装否请自便
3.安装完成后双击nerocheck.exe破解,它会自动检测当前版本,点注册即可!
注:以上破解文件只对Nero6.3.1.6以前版本有效!-test gou tu sql and is is very good to administrator visual basic
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Size: 165888 |
Author: fff |
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Description: 斯坦福大学开发的命名实体识别源码,支持英文-Stanford NER- September 2006
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This package provides a high-performance machine learning based named
entity recognition system, including facilities to train models from
supervised training data and pre-trained models for English.
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Size: 367616 |
Author: blownfire |
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Description: 网狐6.6正版网站源码,很多人都要这个,发上来,等下再发别的样子的源码。-Web site source of genuine Fox 6.6
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Size: 20632576 |
Author: 烟雨龙 |
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Description: 基于CRF的中文机构名识别系统。使用北京大学1998年的人民日报语料库作为训练语料。除常用的特征模板,已经词性特征外,使用词语的最后一个字作为特征,提高了机构名识别的准确率, 调用了CRF++程序包训练模型。-CRF-based name recognition system of Chinese institutions. People' s Daily, Peking University in 1998 with corpus as training data. In addition to the characteristics of commonly used templates, has been part of speech features, the last word to use words as features and improve the organization name recognition accuracy, call the CRF++ package training model.
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Size: 26624 |
Author: paul |
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Description: 摘要提出了一种改进的Har“s角点检测方法。该方法在Harris角点检测求得角点响应函数后,利用双掩膜来定
义进行非极大值抑制的局部范围,结合K均值聚类方法进行非极大值抑制,若像素点的角点响应函数值满足预设角点判定
条件,则将该像素点定义为角点。实验结果表明,该方法无需进行阈值选择,提高了角点检测精度。-Abst旧ct An improved harris_based comer detection methOd is presented in the paper. Firstly,the comer response
function of the Harris comer detection should be obtained Secondly,the tworrmsks are defined the scope of mrr-maxmla
suppression and the Knleans algorithrn is used to start on the non.ma)【ima suppressiorL Thirdly,if the value of the pixel cor—
ner response function is agree with the preset conditions,the pixel is defined as the comer. The experiments show that this
rrlethod does not require the threshold selection and improve the precision of comer detection.
Key WOrcIs Harris comer detection,feature extraction,K meaJls
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Size: 381952 |
Author: 李齐贤 |
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Description: 一个中文NER工具,可以实现利用感知机的命名实体识别,效果比较好,大概在0.82左右- U4E00 u4E2A u4E2D u6587NER u5DE5 u5177 uFF0C u53EF u4EE5 u5B9E u73B0 u5229 u7528 u611F u77E5 u673A u7684 u547D u540D u5B9E u4F53 u8BC6 u522B uFF0C u6548 u679C u6BD4 u8F83 u597D uFF0C u5927 u6982 u57280.82 u5DE6 u53F3
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Size: 2544640 |
Author: yiyunya |
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Description: NLP-NER的一个简单Demo。模型基于LSTM-CRF(A Demon for Chinese-NER from https://github.com/zjy-ucas/ChineseNER)
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Size: 3072 |
Author: 小木木就是我 |
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Description: 中文命名实体标注规范。
命名实体(named entity)所谓的命名实体就是人名、机构名、地名以及其他所有以名称为标识的实体。更广泛的实体还包括数字、日期、货币、地址等等。(NER.
The named entity called named entity is the name of the person, the name of the organization, the place name, and all the other entities identified by the name. More extensive entities include numbers, dates, currencies, addresses, and so on.)
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Size: 4881408 |
Author: binkes |
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Description: #中文命名实体识别,针对中文文档的命名实体识别(# Chinese-Literature-NER-RE-Dataset
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text)
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Size: 7988224 |
Author: 无名1850 |
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Description: 基于bi-lstm-crf的中文命名实体识别(bi-lstm-crf NER of chinese)
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Size: 42077184 |
Author: Master_CS |
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Description: 中文NER常用数据集,在社交媒体微博上的收集到的数据集(Chinese NER common data set)
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Size: 393216 |
Author: 放肆123 |
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