…is a fundamental technique in NLP that enables identification and extraction of
specific entities from text
Named entity recognition is
Coreference Resolution is
Consider you’re tasked with extracting information about an employee’s
performance on and your sources were the reports of said project. What NLP task
would this fall under?
Given a dataset consisting of tweets about a product and customer’s opinions on it
what NLP task would this dataset be best suited for?
You are tasked with highlighting the most important points from a long report
submitted to the CEO of the company what task would you implement to
solve this problem?
Text summarisation that involves generating entirely new sentences that are more
concise is called …
Which of the following is used in the text summarisation pipeline?
Some top results from a search engine like google are an example of
Which type of question answering relies on BERT-like models?
Which type of question answering relies on Text generation models?
We can solve ambiguity of pronoun usage in a sentence by relying on …
The task of predicting the next word in a sentence or sequence based on context is …
A newspaper came up to you asking to integrate AI to help them write more articles
efficiently what would you implement to solve such a problem?
For tasks that require marking text as nouns verbs or adjectives which
corresponding task would this fall under?
ChatGPT giving responses to questions with or without context is an example of …
A student doesn’t have time to watch through an entire video to study a specific
concept what language model task would you implement to solve their problem?
What can we implement to improve upon traditional translation techniques of word
by word?
How can we increase the productivity of programmers by automating simple tasks?