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Found 4 papers, 1 papers with code
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference
Generating commonsense assertions within a given story context remains a difficult task for modern language models.
Adversarial Transformer Language Models for Contextual Commonsense Inference
Contextualized or discourse aware commonsense inference is the task of generating coherent commonsense assertions (i. e., facts) from a given story, and a particular sentence from that story.
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations
Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a Knowledge Base (KB).
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
We revisit the challenging problem of resolving prepositional-phrase (PP) attachment ambiguity.
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