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SIGIR
2004
ACM
14 years 3 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
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
14 years 2 months ago
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu
ICWSM
2008
13 years 11 months ago
Wikipedia as an Ontology for Describing Documents
Identifying topics and concepts associated with a set of documents is a task common to many applications. It can help in the annotation and categorization of documents and be used...
Zareen Saba Syed, Tim Finin, Anupam Joshi
COLING
2000
13 years 11 months ago
The effects of analysing cohesion on document summarisation
We argue that in general, the analysis of lexical cohesion factors in a document can drive a summarizer, as well as enable other content characterization tasks. More narrowly, thi...
Branimir Boguraev, Mary S. Neff
CLEF
2009
Springer
13 years 11 months ago
Interactive Probabilistic Search for GikiCLEF
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the GikiCLEF task of the QA track. Because the task was intended to model some aspec...
Ray R. Larson