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AI
2000
Springer
14 years 2 months ago
Using Noun Phrase Heads to Extract Document Keyphrases
Automatically extracting keyphrases from documents is a task with many applications in information retrieval and natural language processing. Document retrieval can be biased towar...
Ken Barker, Nadia Cornacchia
SIGIR
2006
ACM
14 years 4 months ago
Semantic term matching in axiomatic approaches to information retrieval
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...
Hui Fang, ChengXiang Zhai
JCDL
2006
ACM
237views Education» more  JCDL 2006»
14 years 4 months ago
Automatic extraction of table metadata from digital documents
Tables are used to present, list, summarize, and structure important data in documents. In scholarly articles, they are often used to present the relationships among data and high...
Ying Liu, Prasenjit Mitra, C. Lee Giles, Kun Bai
SIGIR
2004
ACM
14 years 3 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
CIKM
2009
Springer
14 years 4 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai