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3241009
An Empirical Study of Chinese Name matching and Applications
Descrição
paper by Nanyun Peng, Mo Yu, Mark Dredze
Sem etiquetas
chinese
name matching
emtirical study
Mapa Mental por
Ivan Zapreev
, atualizado more than 1 year ago
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Criado por
Ivan Zapreev
mais de 8 anos atrás
27
0
0
Resumo de Recurso
An Empirical Study of Chinese Name matching and Applications
Introduction
Name matching
Important
Downstream tasks
Entity linking
Includes context of mentions
Entity clustering
Includes context of mentions
?
Entity coreference
?
Name transliteration
Identifying names for mining paraphrases
?
Standalone name matching
Context independen
Entity disambiguation
Determine if two mentioned strings refer to the same entity
Methods
Language type
Alphabetic languages
Focused on
Example
English
Indo-European
Logogram languages
Example
Chinese
Hanzi
Challenge
A small number of hanzi represents an entire name
There are X*10.000 hanzi in use
Current methods
Largely UNTESTED
Coreference resolution errors
Caused by
Chinese name matching errors
Focus on persons names
Challenge
Issue: Name variations
Nicknames
Aliases
Acronyms
Differences in translation
Exact string matching
POOR results!
Determine whether two strings refer to the same entity based on the strings above.
Research
Evaluate Name Matching methods
In Chineese
Approaches
Existing
String matching
?
Learnig
?
New
New Representation for Chinese
Experiments
New Representation for Chinese
Improves
name matching
Entity clustering
No details?!
Newly developed data sets
Matched Chinese name pairs
Mingpipe
Name matching tool
Python package
Usage
As stand alone
Integrated in a larger system
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com a GoConqr?
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