Published Jul 23, 2018

61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji

Elizabeth Clark and Yangfeng Ji explore their groundbreaking work on neural text generation, detailing how entity representation can enhance storytelling coherence and the potential to revolutionize creative writing with advanced language models.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/NLP Highlights

61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji

Topics covered

Popular Clips

Language Generation Models

Collaborative Writing System

Evaluating Model Performance

Model Evaluation Tasks

Passage Continuation Model

Natural Language Generation

Narrative Text Evaluation

Exciting Future Ahead

Entity Representation in NLP

Entity Representation in NLP

Advancing Language Models

Episode Highlights

Creative Storytelling

Entity Representation

Related Episodes

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61 - Neural Text Generation in Stories, with Elizabeth Clark and Yangfeng Ji

Topics covered

Popular Clips

Episode Highlights

Creative StorytellingElizabeth Clark and Yangfeng Ji discuss their award-winning paper on neural text generation, focusing on enhancing story coherence through entity representation. They explore the collaborative writing system and the model's potential in creative storytelling.

Creative Storytelling

Entity RepresentationElizabeth Clark and Noah Smith discuss the mechanics and evaluation of a neural text generation model that uses entity representation to enhance narrative coherence. They explore how this approach could advance language models by improving contextualized word representations.

Entity Representation

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