Mindmap
An Empirical Study of Chinese Name matching and Applications
Inhalt der Mindmap
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 linking
- Entity disambiguation
- Determine if two mentioned strings refer to the same entity
- Downstream tasks
- Methods
- Language type
- Alphabetic languages
- Focused on
- Example
- English
- Indo-European
- Example
- Focused on
- 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
- Caused by
- Challenge
- Hanzi
- Chinese
- Example
- Alphabetic languages
- Focus on persons names
- Language type
- Challenge
- Issue: Name variations
- Nicknames
- Aliases
- Acronyms
- Differences in translation
- Exact string matching
- POOR results!
- Issue: Name variations
- Determine whether two strings refer to the same entity based on the strings above.
- Important
- Name matching
Research
- Evaluate Name Matching methods
- In Chineese
- Approaches
- Existing
- String matching
- ?
- Learnig
- ?
- String matching
- New
- New Representation for Chinese
- Existing
- Experiments
- New Representation for Chinese
- Improves
- name matching
- Entity clustering
- No details?!
- Improves
- New Representation for Chinese
- Newly developed data sets
- Matched Chinese name pairs
- Mingpipe
- Name matching tool
- Python package
- Usage
- As stand alone
- Integrated in a larger system
- Usage
- Python package
- Name matching tool
- Evaluate Name Matching methods
Informationen
- Beschreibung
- paper by Nanyun Peng, Mo Yu, Mark Dredze
- Erstellt von
- Ivan Zapreev · Aug 2015
- Aktualisiert
- 22 Jun 2016
- Aufrufe
- 46
- Tags
- Bewertung