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Grounded Commonsense Inference
Grounded commonsense inference is a text-pair classification task that involves determining whether a specific event is a likely outcome given its surrounding context. The model evaluates the relationship between the context (premise) and the potential event (hypothesis) to make a judgment on its plausibility.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.1 Pre-training - Foundations of Large Language Models
Related
Grounded Commonsense Inference
Question-Answering Inference
Natural Language Inference
Sentence Textual Similarity (STS) and Semantic Equivalence
Illustration of BERT for Text-Pair Tasks (Classification and Regression)
An NLP model is tasked with evaluating the following pair of sentences:
Premise: 'The athlete won the gold medal after years of dedicated training.' Hypothesis: 'The athlete is successful.'
The model must determine if the hypothesis logically follows from the premise. Which specific type of text-pair classification problem does this scenario best exemplify?
BERT Input Format for Sentence Pairs
End-to-End Pipeline for Text-Pair Classification
A language model is being used to determine if a product review and a one-sentence summary of that review are semantically equivalent. Arrange the following steps into the correct sequence for how the model processes this text pair to produce a classification.
Duplicate Question Detection on a Q&A Forum
Learn After
A language model is tasked with determining if an event is a plausible outcome of a given context. Consider the following pair:
Context: The chef carefully cracked an egg on the side of a hot, oiled skillet. Event: The egg began to cook and turn white.
The model correctly identifies the event as plausible. Which of the following justifications provides the strongest evidence of sound commonsense reasoning for this conclusion?
Analyzing a Model's Commonsense Failure
A large language model is being trained on a text-pair classification task. The goal is for the model to learn to evaluate if the second sentence (the hypothesis) describes a likely, commonsense outcome of the situation described in the first sentence (the premise). Which of the following text pairs is the most suitable example for this specific training objective?