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Goal-Oriented Script Construction

2021-07-28 06:39:31
Qing Lyu, Li Zhang, Chris Callison-Burch

Abstract

The knowledge of scripts, common chains of events in stereotypical scenarios, is a valuable asset for task-oriented natural language understanding systems. We propose the Goal-Oriented Script Construction task, where a model produces a sequence of steps to accomplish a given goal. We pilot our task on the first multilingual script learning dataset supporting 18 languages collected from wikiHow, a website containing half a million how-to articles. For baselines, we consider both a generation-based approach using a language model and a retrieval-based approach by first retrieving the relevant steps from a large candidate pool and then ordering them. We show that our task is practical, feasible but challenging for state-of-the-art Transformer models, and that our methods can be readily deployed for various other datasets and domains with decent zero-shot performance.

Abstract (translated)

URL

https://arxiv.org/abs/2107.13189

PDF

https://arxiv.org/pdf/2107.13189.pdf


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