Driving Under the Influence (of Language) | Zendy

Daniel Paul Barrett | Zendy; Scott Alan Bronikowski | Zendy; Haonan Yu | Zendy; Jeffrey Mark Siskind | Zendy

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Driving Under the Influence (of Language)

Author(s) -

Daniel Paul Barrett,

Scott Alan Bronikowski,

Haonan Yu,

Jeffrey Mark Siskind

Publication year - 2017

Publication title -

ieee transactions on neural networks and learning systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.882

H-Index - 212

eISSN - 2162-2388

pISSN - 2162-237X

DOI - 10.1109/tnnls.2017.2693278

Subject(s) - computing and processing , communication, networking and broadcast technologies , components, circuits, devices and systems , general topics for engineers

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%.

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