Add to ORKG1 We define unknown words to be those not included in the core lexicon and unable to be generated by FSA, such as person name, place name. But numeric or common time word is not unknown because they can generate by a simple FSA
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previo...
This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To t...
Supersense tagging classifies unknown words into semantic categories defined by lexicographers and i...
This paper presents a unified solution, which is based on the idea of “roles tagging”, to the compli...
There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficu...
Word segmentation, part-of-speech (POS) tagging, and sense tagging are important steps in various Ch...
This paper presents a tagging approach to Chinese unknown word identification based on lexicalized h...
This paper investigates the recognition of unknown words in Chinese parsing. Two methods are propose...
This paper presents a modified class-based LM approach to Chinese unknown word identification. In th...
Copyright © 2014 Qiuping Huang et al.This is an open access article distributed under the Creative C...
According to a survey in a corpus, majority of the unknown words in Chinese texts are numbers, time ...
Automatic recognition of Chinese personal name is emphasis and difficulty for unknown words recognit...
This paper presents a tagging approach to Chinese unknown word identification based on lexicalized h...
Word segmentation is a basic step in Chinese text processing. The identification of unknown words is...
A fast statistical method for Chinese unknown word detection is proposed. It is based on association...
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previo...
This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To t...
Supersense tagging classifies unknown words into semantic categories defined by lexicographers and i...
This paper presents a unified solution, which is based on the idea of “roles tagging”, to the compli...
There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficu...
Word segmentation, part-of-speech (POS) tagging, and sense tagging are important steps in various Ch...
This paper presents a tagging approach to Chinese unknown word identification based on lexicalized h...
This paper investigates the recognition of unknown words in Chinese parsing. Two methods are propose...
This paper presents a modified class-based LM approach to Chinese unknown word identification. In th...
Copyright © 2014 Qiuping Huang et al.This is an open access article distributed under the Creative C...
According to a survey in a corpus, majority of the unknown words in Chinese texts are numbers, time ...
Automatic recognition of Chinese personal name is emphasis and difficulty for unknown words recognit...
This paper presents a tagging approach to Chinese unknown word identification based on lexicalized h...
Word segmentation is a basic step in Chinese text processing. The identification of unknown words is...
A fast statistical method for Chinese unknown word detection is proposed. It is based on association...
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previo...
This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To t...
Supersense tagging classifies unknown words into semantic categories defined by lexicographers and i...