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» Scalable ad-hoc entity extraction from text collections
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DL
2000
Springer
162views Digital Library» more  DL 2000»
13 years 12 months ago
Snowball: extracting relations from large plain-text collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Luis Gravano
PAKDD
2009
ACM
116views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Scalable Web Mining with Newistic
Abstract. Newistic is a web mining platform that collects and analyses documents crawled from the Internet. Although it currently processes news articles, it can be easily adapted ...
Ovidiu Dan, Horatiu Mocian
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
14 years 7 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
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
EMNLP
2010
13 years 4 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum