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arXiv · 1808.09132

Mapping Natural Language Commands to Web Elements

Panupong Pasupat·Tian-Shun Jiang·Evan Zheran Liu·Kelvin Guu·Percy Liang
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Abstract

The web provides a rich, open-domain environment with textual, structural, and spatial properties. We propose a new task for grounding language in this environment: given a natural language command (e.g., "click on the second article"), choose the correct element on the web page (e.g., a hyperlink or text box). We collected a dataset of over 50,000 commands that capture various phenomena such as functional references (e.g. "find who made this site"), relational reasoning (e.g. "article by john"), and visual reasoning (e.g. "top-most article"). We also implemented and analyzed three baseline models that capture different phenomena present in the dataset.

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Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang. 2018-08-28. Mapping Natural Language Commands to Web Elements. https://arxiv.org/abs/1808.09132

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