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Chinese Word Segmentation and Named Entity Recognition:A Pragmatic Approach
Chinese Word Segmentation Named Entity Recognition Pragmatic Approach
2015/8/31
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previous approaches mainly in three respects. First, while theoretical linguists have defined Chinese word...
Unsupervised Named Entity Recognition Using Syntactic and Semantic Contextual Evidence
Unsupervised Named Entity Recognition Syntactic Semantic Contextual
2015/8/26
Proper nouns form an open class, making the incompleteness of manually or automatically learned classification rules an obvious problem. The purpose of this paper is twofold: first, to suggest the use...
Named Entity Recognition with Character-Level Models
Named Entity Recognition Character-Level Models
2015/6/12
We discuss two named-entity recognition models which use characters and character n-grams either exclusively or as an important part of their data representation. The first model is a character-level ...
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
Two-Stage Model Non-Local Dependencies Named Entity Recognition
2015/6/12
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local dependencies, while being ...
Many named entities contain other named entities inside them. Despite this fact, the field of named entity recognition has almost entirely ignored nested named entity recognition, but due to technolog...