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A Multilingual Information Extraction Pipeline for Investigative Journalism Gregor Riemann Sad Muhie Imam Chris Riemann Language Technology Group Department of Informatics University Hamburg, Germany Friedmann,
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How to fill out a multilingual information extraction

01
Step 1: Determine the purpose of the multilingual information extraction.
02
Step 2: Gather the necessary data in multiple languages.
03
Step 3: Design a data extraction method that can handle different languages.
04
Step 4: Use natural language processing techniques to extract relevant information.
05
Step 5: Validate and refine the extracted information to ensure accuracy.
06
Step 6: Store the extracted information in a structured format.
07
Step 7: Develop a user-friendly interface to access and search the extracted information in multiple languages.

Who needs a multilingual information extraction?

01
Organizations operating in multiple countries or regions.
02
Researchers in linguistics and language processing.
03
Government agencies dealing with international affairs.
04
Companies involved in cross-border transactions and global markets.
05
International news agencies and media companies.
06
Academic institutions conducting cross-cultural studies.
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Multilingual information extraction is the process of extracting relevant information from text written in multiple languages.
Any organization or individual that deals with multilingual data and needs to extract information from it may be required to file a multilingual information extraction.
To fill out a multilingual information extraction, one needs to identify the languages in the text, extract the relevant information in each language, and organize the extracted information in a structured format.
The purpose of a multilingual information extraction is to efficiently and accurately extract relevant information from text written in multiple languages for analysis or further processing.
The information reported on a multilingual information extraction may include the languages present in the text, the extracted information in each language, and any relevant metadata.
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