Question: Act as a NLP applications Hands - on expert and implement the below tasks Task A : NER Application Implement an application that displays visualization
Act as a NLP applications Handson expert and implement the below tasks
Task A : NER Application
Implement an application that displays visualization of Named Entities as shown below:
Over the last quarter Apple ORG sold nearly thousand ipods for a profit of $ million By contrast, Sony ORG sold only thousand walkman music players.
Implementation Guidelines:
You can use Spacy library for the implementation.
The Application takes user input text file and displays the input text file with named entities as shown in the sample.
The Application should also download a table with named entities identified as MONEY Monetary values, including unit make sure your input file has few examples of this entity
Table format: Table name: Entity Table, Columns: entity, words from text. Feel free to trim this table if it is huge.
Task A Deliverables:
A welldocumented code Python and frontend for the NER application.
Instructions for running the application locally.
A set screenshots that explains the entire flow of the application to be included in the report.
attach the file containing the named entities identified in the input text file as instructed, you can choose a suitable file format docpdftxt
Task B : Python Function
Develop a complete information extraction pipeline that includes NER, relation extraction, events extraction, and time extraction.
Dataset: Create a custom dataset of your choice, you can combine some popular datasets for the above task.
Task B Deliverables:
html or pdf format of Jupyter notebook or other IDE implementing the function with output.
custom dataset file
Task C: Literature Survey
Conduct a literature survey on state of research in multilingual information extraction. What are the challenges and opportunities in extracting structured information from text written in multiple languages?
Write document with your response on Task C with references to the published articles referred minimum
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