Papers with language compositionality
Convolutional Neural Networks with Recurrent Neural Filters (D18-1)
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| Challenge: | Convolutional neural networks (CNNs) use recurrent neural networks as convolution filters to capture language compositionality and long-term dependencies. |
| Approach: | They propose to use recurrent neural networks (RNNs) as convolution filters to capture language compositionality and long-term dependencies. |
| Outcome: | The proposed convolutional neural networks achieve state-of-the-art on two sentences and the Stanford Sentiment Treebank. |
Disentangling Categorization in Multi-agent Emergent Communication (2022.naacl-main)
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| Challenge: | Recent work on the emergence of language between artificial agents has not isolated the effect of categorization power on inter-communication ability. |
| Approach: | They propose to use disentangled representations to quantify categorization power of agents to enable differential analysis between combinations of heterogeneous systems. |
| Outcome: | The proposed method reduces signaling accuracy by 40% despite encouraging compositionality in the artificial language. |