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We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.
Research query: transformer architecture · jobs: 1 · on-topic sources: 1 · review: Thin
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. — Attention Is All You Need (2017)
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Attention Is All You Need (2017)
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. (new this job) — source
We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data. (new this job) — source
Status Thin. Verified claims 2. On-topic sources 1 (reused 0). Dropped 0 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: transformer, architecture.
Sealed job b0e8cb722b82fa78bd9962daba1f435a. Shards: agent.scout. Dropped 0 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.
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