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ADC
2009
Springer
113views Database» more  ADC 2009»
16 years 18 days ago
Ranking-Constrained Keyword Sequence Extraction from Web Documents
Given a large volume of Web documents, we consider problem of finding the shortest keyword sequences for each of the documents such that a keyword sequence can be rendered to a g...
Ding-Yi Chen, Xue Li, Jing Liu, Xia Chen
EMNLP
2007
15 years 7 months ago
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
Krysta Marie Svore, Lucy Vanderwende, Christopher ...
WWW
2004
ACM
16 years 6 months ago
Affinity rank: a new scheme for efficient web search
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...
Yi Liu, Benyu Zhang, Zheng Chen, Michael R. Lyu, W...
ECML
2006
Springer
15 years 9 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
CIKM
2004
Springer
15 years 11 months ago
Swoogle: a search and metadata engine for the semantic web
Swoogle is a crawler-based indexing and retrieval system for the Semantic Web documents – i.e., RDF or OWL documents. It analyzes the documents it discovered to compute useful m...
Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan,...