Driving Under the Influence (of Language).
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 28613182.
- Also identified by DOI 10.1109/TNNLS.2017.2693278.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We present a unified framework which supports grounding natural-language semantics in robotic driving. This framework supports acquisition (learning grounded meanings of nouns and prepositions from human sentential annotation of robotic driving paths), generation (using such acquired meanings to generate sentential description of new robotic driving paths), and comprehension (using such acquired meanings to support automated driving to accomplish navigational goals specified in natural language). We evaluate the performance of these three tasks by having independent human judges rate the semantic fidelity of the sentences associated with paths. Overall, machine performance is 74.9%, while the performance of human annotators is 83.8%.
Medical subject headings
- Comprehension
- Driving Under the Influence
- Language
- Learning
- Neural Networks, Computer