Modeling Commonality among Related Classes in Relation Extraction (2009)
Zhou Guodong, Su Jian, Zhang Min
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For each class in the...
Zhang Min, Zhou Guodong, Yang Lingpeng, Ji Donghong
This paper briefly describes our system in the third SIGHAN bakeoff on Chinese word segmentation and named entity recognition. This is done via a word chunking strategy using a context-dependent...
MI-Trigger-based Language Modeling (2008)
This paper proposes a new MI-Trigger-based modeling approach to capture the preferred relationships between words over a short or long distance. It is implemented by the concept of trigger pair,...
Zhou Guodong, Shen Dan, Zhang Jie, Su Jian, Tan Soon Heng, Tan Chew Lim, ...
In this paper, we propose an ensemble of classifiers for biomedical named entity recognition in which three classifiers (one SVM and two HMMs) are combined effectively using a simple majority voting...
Zhou Guodong, Shen Dan, Zhang Jie, Su Jian, Tan Chew Lim, ...
In this paper, we propose an ensemble of classifiers for biomedical named entity recognition in which three classifiers (one SVM and two HMMs) are combined effectively using a simple majority voting...
TREC 2005 Genomics Track at I2R (2005)
Nie Yu Yang, Yang Lingpeng, Ji Donghong, Zhang Jie, Su Jian, Yang Xiaofeng, ...
This paper describes the methods we used for the Ad Hoc task of TREC Genomics Track. Synonym dictionary for genes and pseudo relevance feedback are used to expand queries. BM25 model is implemented...
Exploring various knowledge in relation extraction (2002)
Zhou Guodong, Su Jian, Zhang Jie, Zhang Min
Extracting semantic relationships between entities is challenging. This paper investigates the incorporation of diverse lexical, syntactic and semantic knowledge in feature-based relation extraction...
Exploring various knowledge in relation extraction (2002)
Zhou Guodong, Su Jian, Zhang Jie, Zhang Min
Extracting semantic relationships between entities is challenging. This paper investigates the incorporation of diverse lexical, syntactic and semantic knowledge in feature-based relation extraction...
Zhou Guodong, Tey TongGuan, Su Jian
This paper proposes a new hybrid chunk tagger. Firstly, it is a HMM-based chunk tagger. Secondly, it is improved by error-driven learning method. Finally, memorybased learning is adopted to further...