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» A Study on Multi-word Extraction from Chinese Documents
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ICDE
2009
IEEE
131views Database» more  ICDE 2009»
14 years 9 months ago
Exploring a Few Good Tuples from Text Databases
Information extraction from text databases is a useful paradigm to populate relational tables and unlock the considerable value hidden in plain-text documents. However, information...
Alpa Jain, Divesh Srivastava
SIGIR
2004
ACM
14 years 1 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
EMNLP
2008
13 years 9 months ago
Who is Who and What is What: Experiments in Cross-Document Co-Reference
This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
Alex Baron, Marjorie Freedman
COLING
2010
13 years 2 months ago
FactRank: Random Walks on a Web of Facts
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
Alpa Jain, Patrick Pantel
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
14 years 5 days ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...