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» A ranking approach to keyphrase extraction
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COLING
2010
13 years 2 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
ICDAR
2005
IEEE
14 years 1 months ago
Document Ranking by Layout Relevance
This paper describes the development of a new document ranking system based on layout similarity. The user has a need represented by a set of ”wanted” documents, and the syste...
May Huang, Daniel DeMenthon, David S. Doermann, Ly...
AIRS
2010
Springer
13 years 5 months ago
Re-ranking Summaries Based on Cross-Document Information Extraction
This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorpora...
Heng Ji, Juan Liu, Benoît Favre, Daniel Gill...
WWW
2005
ACM
14 years 8 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
JCDL
2010
ACM
187views Education» more  JCDL 2010»
13 years 9 months ago
Social network document ranking
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-H...