Attend and Hop
نویسندگان
چکیده
We propose a novel architecture for natural language inference. On top of a traditional recurrent neural net with attention architecture, we add memory-based modules, residual connections, and richer word embeddings. With these, we are able to achieve 76.6% accuracy.
منابع مشابه
On Hop Roman Domination in Trees
Let $G=(V,E)$ be a graph. A subset $Ssubset V$ is a hop dominating setif every vertex outside $S$ is at distance two from a vertex of$S$. A hop dominating set $S$ which induces a connected subgraph is called a connected hop dominating set of $G$. Theconnected hop domination number of $G$, $ gamma_{ch}(G)$, is the minimum cardinality of a connected hopdominating set of $G$...
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