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» Extracting key terms from noisy and multitheme documents
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ECIR
2010
Springer
13 years 7 months ago
On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents
Abstract. Pseudo-Relevance Feedback (PRF) assumes that the topranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we int...
Karthik Raman, Raghavendra Udupa, Pushpak Bhattach...
WWW
2009
ACM
14 years 11 days ago
Building term suggestion relational graphs from collective intelligence
This paper proposes an effective approach to provide relevant search terms for conceptual Web search. ‘Semantic Term Suggestion’ function has been included so that users can f...
Jyh-Ren Shieh, Yung-Huan Hsieh, Yang-Ting Yeh, Tse...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
13 years 11 months ago
Key semantics extraction by dependency tree mining
We propose a new text mining system which extracts characteristic contents from given documents. We define Key semantics as characteristic sub-structures of syntactic dependencie...
Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, ...
ECIR
2011
Springer
12 years 9 months ago
Combining Global and Local Semantic Contexts for Improving Biomedical Information Retrieval
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 ...
Duy Dinh, Lynda Tamine
IWRIDL
2006
ACM
149views Education» more  IWRIDL 2006»
13 years 11 months ago
From CLIR to CLIE: some lessons in NTCIR evaluation
Cross-language information retrieval (CLIR) facilitates the use of one language to access documents in other languages. Crosslanguage information extraction (CLIE) extracts releva...
Hsin-Hsi Chen