We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Query expansion by pseudo-relevance feedback is a well-established technique in both mono- and cross- lingual information retrieval, enriching and disambiguating the typically ter...
Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries...
Jing Bai, Dawei Song, Peter Bruza, Jian-Yun Nie, G...
In the context of biomedical information retrieval (IR), this paper explores the relationship between the document’s global context and the query’s local context in an attempt ...