Papers by Nancy Xu

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Papers by Nancy Xu

NAACL

2021.naacl-main

WebLang
AI agents
RUSS
Rapid Universal Support Service
BERT-LSTM
grounding model
Grounding natural language instructions
grounding natural language
training
end-to-end accuracy predicting agent actions

2021

1 papers

Grounding Open-Domain Instructions to Automate Web Support Tasks (2021.naacl-main)

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Nancy Xu, Sam Masling, Michael Du, Giovanni Campagna, Larry Heck, James Landay, Monica Lam

Challenge:	RUSS is a task and dataset to ground natural language instructions on the web to perform previously unseen tasks.
Approach:	They build a task and dataset to ground AI agents from open-domain, step-by-step instructions on the web.
Outcome:	The proposed model outperforms existing models that map instructions to actions without WebLang.

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