The article introduces the basic principle of CRF (Conditional Random Fields) and USES it to identify the COC.
本文详细介绍了CRF基本原理，并用该模型对有标记联合结构进行了自动识别。
This dissertation also discusses applying Conditional Random Fields to Chinese Chunk Parsing and our future works.
提出了未来关于应用条件随机场构建汉语词法语块分析模型的初步构想。
This paper presents a method for named entity recognition in the tourism domain based on the cascaded conditional random fields.
针对旅游领域，提出了一种基于层叠条件随机场模型的旅游领域命名实体识别方法。
This paper presents an approach of Syntactic and Semantic of CFN automatic tagging based on cascaded conditional random fields model.
本文提出了一种基于层叠条件随机场的CFN句法语义自动标注方法。
Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
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