Papers by Alessandro Lazaric
Word-order Biases in Deep-agent Emergent Communication (P19-1)
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| Challenge: | a recent study examines the "natural" word-order constraints that constrain neural networks . we train models to communicate about paths in a simple gridworld . |
| Approach: | They propose to inoculate a notion of "effort" into neural networks to make their linguistic behavior more human-like. |
| Outcome: | The proposed models show a strong tendency to avoid redundancy and minimize long-distance dependencies. |