Name
Abstract | ||
|---|---|---|
The presence of robots in everyday life is increasing day by day at a growing pace. Industrial and working environments, health-care assistance in public or domestic areas can benefit from robots' services to accomplish manifold tasks that are difficult and annoying for humans. In such scenarios, Natural Language interactions, enabling collaboration and robot control, are meant to be situated, in the sense that both the user and the robot access and make reference to the environment. Contextual knowledge may thus play a key role in solving inherent ambiguities of grounded language as, for example, the prepositional phrase attachment. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.artint.2019.103181 | Artificial Intelligence |
Keywords | Field | DocType |
Spoken language understanding,Automatic interpretation of robotic commands,Grounded language learning,Human-Robot interaction | Situated,Robot control,Language interpretation,Distributional semantics,Structured prediction,Phrase,Natural language,Human–computer interaction,Artificial intelligence,Spoken language,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
278 | 1 | 0004-3702 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Vanzo | 1 | 35 | 6.93 |
| Danilo Croce | 2 | 314 | 39.05 |
| Emanuele Bastianelli | 3 | 88 | 13.75 |
| Roberto Basili | 4 | 1308 | 155.68 |
| Daniele Nardi | 5 | 5968 | 545.67 |