Papers by Ciro Greco

1 papers
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction (2021.naacl-main)

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Challenge: Scholarly work in this area uses toy worlds and synthetic linguistic data, but grounded language learning offers several practical and scientific advantages.
Approach: They propose to model teacher-learner dynamics through natural interactions occurring between users and search engines.
Outcome: The proposed model is better than non-grounded models on compositionality and zero-shot inference tasks.

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