Add to ORKGThis paper presents our system for the CIPS-SIGHAN-2014 bakeoff task of Chinese word segmentation. This system adopts a character-based joint approach, which combines a charac-ter-based generative model and a character-based discriminative model. To further improve the performance in cross-domain, an external dic-tionary is employed. In addition, pre-processing and post-processing rules are utilized to further improve the performance. The final performance on the test corpus shows that our system achieves comparable results with other state-of-the-art systems.
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
(Alias-i 2006) to Chinese word segmentation and named en-tity recognition. We provide results for th...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
The state-of-the-art Chinese word segmentation systems have achieved high performance on well-formed...
Abstract. Since the traditional word-based n-gram model, a generative approach, cannot handle those ...
This paper summarizes the SIGHAN 2014 Chinese Word Segmentation bake-off in several aspects such as ...
We present a Chinese word segmentation system which ran on the closed track of the simplified Chines...
In this evaluation, we have taken part in the task of the Word Segmentation on Chinese MicroBlog. In...
Among statistical approaches to Chinese word segmentation, the word-based n-gram (generative) model ...
This paper describes the system that we use for Chinese segmentation task in the 3rd CIPS-SIGHAN bak...
In this paper, we proposed a Chinese word segmentation model for micro-blog text. Alt-hough Conditio...
This paper describes a hybrid Chinese word segmenter that is being developed as part of a larger Chi...
Current character-based approaches are not robust for cross domain Chinese word segmentation. In thi...
This paper describes the Chinese Word Segmenter for the fourth International Chinese Language Proces...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
(Alias-i 2006) to Chinese word segmentation and named en-tity recognition. We provide results for th...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
The state-of-the-art Chinese word segmentation systems have achieved high performance on well-formed...
Abstract. Since the traditional word-based n-gram model, a generative approach, cannot handle those ...
This paper summarizes the SIGHAN 2014 Chinese Word Segmentation bake-off in several aspects such as ...
We present a Chinese word segmentation system which ran on the closed track of the simplified Chines...
In this evaluation, we have taken part in the task of the Word Segmentation on Chinese MicroBlog. In...
Among statistical approaches to Chinese word segmentation, the word-based n-gram (generative) model ...
This paper describes the system that we use for Chinese segmentation task in the 3rd CIPS-SIGHAN bak...
In this paper, we proposed a Chinese word segmentation model for micro-blog text. Alt-hough Conditio...
This paper describes a hybrid Chinese word segmenter that is being developed as part of a larger Chi...
Current character-based approaches are not robust for cross domain Chinese word segmentation. In thi...
This paper describes the Chinese Word Segmenter for the fourth International Chinese Language Proces...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...
(Alias-i 2006) to Chinese word segmentation and named en-tity recognition. We provide results for th...
In this paper, we propose a joint model for unsupervised Chinese word segmentation (CWS). Inspired b...