更改

跳到导航 跳到搜索
删除676字节 、 2021年8月28日 (六) 19:26
第86行: 第86行:     
==方法==
 
==方法==
The following standard approaches are now widely accepted:
  −
* Hand-written regular expressions (or nested group of regular expressions)
  −
* Using classifiers
  −
** Generative: [[naïve Bayes classifier]]
  −
** Discriminative: [[Principle of maximum entropy#Maximum entropy models|maximum entropy models]] such as [[Multinomial logistic regression]]
  −
* Sequence models
  −
** [[Recurrent neural network]]
  −
** [[Hidden Markov model]]
  −
** Conditional Markov model (CMM) / [[Maximum-entropy Markov model]] (MEMM)
  −
** [[Conditional random field]]s (CRF) are commonly used in conjunction with IE for tasks as varied as extracting information from research papers<ref>{{Cite journal | doi = 10.1016/j.ipm.2005.09.002 | title = Information extraction from research papers using conditional random fields☆ | year = 2006 | last1 = Peng | first1 = F. | last2 = McCallum | first2 = A. | journal = Information Processing & Management | volume = 42 | issue = 4 | pages = 963}}</ref> to extracting navigation instructions.<ref>{{cite web|title=Extracting Frame-based Knowledge Representation from Route Instructions|last1=Shimizu|first1=Nobuyuki|last2=Hass|first2=Andrew|url=http://www.cs.albany.edu/~shimizu/shimizu+haas2006frame.pdf|year=2006|access-date=2010-03-27|archive-url=https://web.archive.org/web/20060901085639/http://www.cs.albany.edu/~shimizu/shimizu+haas2006frame.pdf|archive-date=2006-09-01|url-status=dead}}</ref>
  −
      
下面的标准方法现在已经被广泛接受:
 
下面的标准方法现在已经被广泛接受:
第107行: 第96行:  
** 隐[[马尔可夫模型]]
 
** 隐[[马尔可夫模型]]
 
** 条件马尔可夫模型(CMM)/最大熵马尔可夫模型(MEMM)
 
** 条件马尔可夫模型(CMM)/最大熵马尔可夫模型(MEMM)
*** 条件随机场(CRF)通常与 IE 结合使用,用于从研究论文中提取信息以提取导航指令等各种任务。
+
*** 条件随机场(CRF)通常与 IE 结合使用,用于从研究论文<ref>{{Cite journal | doi = 10.1016/j.ipm.2005.09.002 | title = Information extraction from research papers using conditional random fields☆ | year = 2006 | last1 = Peng | first1 = F. | last2 = McCallum | first2 = A. | journal = Information Processing & Management | volume = 42 | issue = 4 | pages = 963}}</ref>中提取信息以提取导航指令等各种任务。<ref>{{cite web|title=Extracting Frame-based Knowledge Representation from Route Instructions|last1=Shimizu|first1=Nobuyuki|last2=Hass|first2=Andrew|url=http://www.cs.albany.edu/~shimizu/shimizu+haas2006frame.pdf|year=2006|access-date=2010-03-27|archive-url=https://web.archive.org/web/20060901085639/http://www.cs.albany.edu/~shimizu/shimizu+haas2006frame.pdf|archive-date=2006-09-01|url-status=dead}}</ref>
 
   
 
   
    
IE 还有许多其他方法,包括混合方法,它们结合了以前列出的一些标准方法。
 
IE 还有许多其他方法,包括混合方法,它们结合了以前列出的一些标准方法。
   −
 
+
<br>
    
==开源资源与服务==
 
==开源资源与服务==
7,129

个编辑

导航菜单