Please look into the topic called event extraction. Similar to entity extraction, we want to extract the event or the key word mentioned by the article. Of course we would have to develop our...

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Please look into the topic called event extraction. Similar to entity extraction, we want to extract the event or the key word mentioned by the article. Of course we would have to develop our dictionary/knowledge graph to tell the algorithm what are the events under our scope.


Use the title as the starting point and see if an event can be extracted.





Say Apple released iPhone 14 series product. Ideally, in our knowledge graph, we have an event called product announcement with keywords like announce, release, and phrases like product announcement, product release, etc.


In order to achieve event extraction, we need two steps. Define the knowledge graph, and extract key words out of the title so that they can be used to link to our knowledge graph.


















Be advised. My expected output for the event extraction is the article title followed by extracted keywords that can be used for mapping with our knowledge graph. For example, Apple announced iPhone 14 | announced iphone. Therefore, please make the keywords a new column and add it to the csv. Can you do this? These are feedbacks I got from leader directly of last assignment you did.















Make sure to submit both the WELL COMMENTED script and csv. Again, you may use part of the dataset to process if it's too big entirely. Thank you.





eventextraction-limigwyt.ipynb entityextractcsv-efa0ud4w.csv
Answered 2 days AfterDec 12, 2022

Answer To: Please look into the topic called event extraction. Similar to entity extraction, we want to extract...

Pratyush answered on Dec 13 2022
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