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» Extracting Named Entities and Synonyms from Wikipedia
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EMNLP
2010
13 years 5 months ago
Mining Name Translations from Entity Graph Mapping
This paper studies the problem of mining entity translation, specifically, mining English and Chinese name pairs. Existing efforts can be categorized into (a) a transliterationbas...
Gae-won You, Seung-won Hwang, Young-In Song, Long ...
ACL
2007
13 years 9 months ago
Automatic Discovery of Named Entity Variants: Grammar-driven Approaches to Non-Alphabetical Transliterations
Identification of transliterated names is a particularly difficult task of Named Entity Recognition (NER), especially in the Chinese context. Of all possible variations of trans...
Chu-Ren Huang, Petr Simon, Shu-Kai Hsieh
SIGIR
2012
ACM
11 years 10 months ago
TwiNER: named entity recognition in targeted twitter stream
Many private and/or public organizations have been reported to create and monitor targeted Twitter streams to collect and understand users’ opinions about the organizations. Tar...
Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwi...
CICLING
2010
Springer
14 years 2 months ago
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizu...
SIGIR
2008
ACM
13 years 7 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...