Mapping Natural Language Commands to Web Elements

Code

• github.com/stanfordnlp/phrasenode
  OfficialIn paperpytorch★ 0
• worksheets.codalab.org/worksheets/0x0097f249cd944284a81af331093c3579
  Officialnone★ 0

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.

Tasks

Reproductions