Search Results for author: Nasrin Mostafazadeh

Found 12 papers, 3 papers with code

GLUCOSE: GeneraLized and COntextualized Story Explanations

2 code implementations EMNLP 2020 Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, Jennifer Chu-Carroll

As a step toward AI systems that can build similar mental models, we introduce GLUCOSE, a large-scale dataset of implicit commonsense causal knowledge, encoded as causal mini-theories about the world, each grounded in a narrative context.

Frame Pretrained Language Models

Tackling the Story Ending Biases in The Story Cloze Test

no code implementations ACL 2018 Rishi Sharma, James Allen, Bakhsh, Omid eh, Nasrin Mostafazadeh

The Story Cloze Test (SCT) is a recent framework for evaluating story comprehension and script learning.

Cloze Test

Generating Natural Questions About an Image

2 code implementations ACL 2016 Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende

There has been an explosion of work in the vision & language community during the past few years from image captioning to video transcription, and answering questions about images.

Image Captioning Question Generation

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