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SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
LWA
2008
13 years 9 months ago
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
Felix Jungermann, Katharina Morik
CIKM
2007
Springer
14 years 2 months ago
Recognition and classification of noun phrases in queries for effective retrieval
It has been shown that using phrases properly in the document retrieval leads to higher retrieval effectiveness. In this paper, we define four types of noun phrases and present an...
Wei Zhang, Shuang Liu, Clement T. Yu, Chaojing Sun...
ICUIMC
2009
ACM
14 years 2 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
RIAO
1997
13 years 9 months ago
An Analysis of Statistical and Syntactic Phrases
As the amount of textual information available through the World Wide Web grows, there is a growing need for high-precision IR systems that enable a user to nd useful information ...
Mandar Mitra, Chris Buckley, Amit Singhal, Claire ...