Zhao Jun

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Named Entity Recognition is one of the key techniques in the fields of natural language processing, information retrieval, question answering and so on. Unfortunately, Chinese Named Entity Recognition (NER) is more difficult for the lack of capitalization information and the uncertainty in word segmentation. In this paper, we present a hybrid algorithm(More)
The paper puts forward a quasi-dependency model for structural analysis of Chinese baseNPs and a MDL-based algorithm for quasi-dependency-strength acquisition. The experiments show that the proposed model is more suitable for Chinese baseNP analysis and the proposed MDL-based algorithm is superior to the traditional ML-based algorithm. The paper also(More)
A hierarchical hidden Markov model (HHMM) based approach of product named entity recognition (NER) from Chinese free text is presented in this paper. Characteristics and challenges in product NER is also investigated and analyzed deliberately compared with general NER. Within a unified statistical framework, the approach we proposed is able to make(More)
Over the years, many proposals have been made to incorporate assorted types of feature in language models. However, discrepancies between training sets, evaluation criteria, algorithms, and hardware environments make it difficult to compare the models objectively. In this paper, we take an information theoretic approach to select feature types in a(More)
To reduce the motion artifacts, a new scanning configuration is proposed for tomosynthesis in dynamic reconstruction. In this new configuration, multiple x-ray sources are uniformly distributed on the circular scanning trajectory and moving simultaneously. Numerical experiments are performed using two dynamic digital phantoms and algebraic reconstruction(More)
Sentence retrieval plays a very important role in question answering system. In this paper, we present a novel cluster-based language model for sentence retrieval in Chinese question answering which is motivated in part by sentence clustering and language model. Sentence clustering is used to group sentences into clusters. Language model is used to properly(More)
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