Abstract—In this paper, a pre-identification method for Chinese named entity recognition is proposed. Internal information of entity name like family name, first name in person name, feature word in place name and organization name do not needed. Through entity name guessing based on context keywords, pre-identification is realized. Definition of bidirectional potential entity name recognition, rough confirmation of potential entity name, segmentation word is proposed. To solve the possible ambiguity in entity name identification, the degree of segmentation and conjunction is presented as well as cascade recognition and final confirmation. Combining with this pre-processing method, performance will be improved by using internal information ...
Named entity recognition (NER) plays an important role in many natural language processing applicati...
Abstract. A simplified N-best cascade model is put forward about Chinese organization names automati...
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previo...
In this paper, a novel method using for Chinese named entity recognition is proposed. For each class...
Named Entity Recognition is one of the key techniques in the fields of natural language processing, ...
Abstract: Name extraction is indispensable for both natural language understanding and information r...
介绍了一个中文命名实体识别系统,该系统采用了统计与规则相结合的方法。整个识别过程主要分成两个步骤,首先使用隐马尔可夫模型进行词性标注,然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。同时,...
This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To t...
This paper describes our strategies for automatic identification of Chinese person names in text. In...
The more Chinese language materials come out, the more we have to focus on the “same personal name ”...
The performance of Chinese-named entity recognition (NER) has improved via word enhancement or new f...
Automatic identification of Chinese personal names in unrestricted texts is a key task in Chinese wo...
Personal name disambiguation is a significant issue in natural language processing, which is the bas...
Named entity recognition can deeply explore semantic features and enhance the ability of vector repr...
Named entity recognition can deeply explore semantic features and enhance the ability of vector repr...
Named entity recognition (NER) plays an important role in many natural language processing applicati...
Abstract. A simplified N-best cascade model is put forward about Chinese organization names automati...
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previo...
In this paper, a novel method using for Chinese named entity recognition is proposed. For each class...
Named Entity Recognition is one of the key techniques in the fields of natural language processing, ...
Abstract: Name extraction is indispensable for both natural language understanding and information r...
介绍了一个中文命名实体识别系统,该系统采用了统计与规则相结合的方法。整个识别过程主要分成两个步骤,首先使用隐马尔可夫模型进行词性标注,然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。同时,...
This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To t...
This paper describes our strategies for automatic identification of Chinese person names in text. In...
The more Chinese language materials come out, the more we have to focus on the “same personal name ”...
The performance of Chinese-named entity recognition (NER) has improved via word enhancement or new f...
Automatic identification of Chinese personal names in unrestricted texts is a key task in Chinese wo...
Personal name disambiguation is a significant issue in natural language processing, which is the bas...
Named entity recognition can deeply explore semantic features and enhance the ability of vector repr...
Named entity recognition can deeply explore semantic features and enhance the ability of vector repr...
Named entity recognition (NER) plays an important role in many natural language processing applicati...
Abstract. A simplified N-best cascade model is put forward about Chinese organization names automati...
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previo...