Topic segmentation, which aims to fmd the boundaries between topic blocks in a text, is an important task for semantic analysis of texts. Although different solutions have been proposed for the task,… (More)
Chinese unknown word extraction is an important problem for Chinese language processing. There are troublesome difficulties in the problem. First, almost any Chinese character can either represent a… (More)
Program evaluation and review techniques (PERT) is an efficient tool for large project management. In actual project control decisions, PERT has successfully been applied to business management,… (More)
Universum, a collection of nonexamples that do not belong to any class of interest, has become a new research topic in machine learning. This paper devises a semi-supervised learning with Universum… (More)
How to detect and correct misspelled words in documents is a very important issue for Mandarin and Japanese. This paper uses phonological similarity and orthographic similarity co-occurrence to train… (More)
Chinese automated essay scoring (CAES) is a very important tool for many educational researches. However, none of the methods for retrieving features in English essays is applicable to Chinese… (More)
The aim of the current study is to propose a system, which can automatically deduce entailment relations of textual pairs. The system mainly uses seven features and a decision tree is utilized as a… (More)
a. During the Eastern Jin period, development ... b. Throughout the Ming period, migration ... (1)a-Correct b-Correct (2)a-Correct b-Incorrect (3)a-Incorrect b-Correct (4)a-Incorrect b-Incorrect… (More)
The proposed automated essay-scoring system uses an unsupervised-learning approach based on a voting algorithm. Experiments show that this approach works well compared to supervised-learning… (More)