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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Vec2Sent: Probing Sentence Embeddings With Natural Language Generation ... The 28th International Conference on Computational Linguistics 2020; Eger, Steffen; Kerscher, Martin. - : Underline Science Inc., 2020 Abstract: We unveil the language encoded in sentence embeddings by conditionally generating from them. We perceive of this as a new unsupervised probing task and show that it correlates well with downstream task performance. We also illustrate how the language generated from different encoders differs. We apply our approach to generate sentence analogies from sentence embeddings. ... Keyword: Computer and Information Science; Natural Language Processing; Neural Network URL: https://dx.doi.org/10.48448/9kac-5d21 https://underline.io/lecture/6223-vec2sent-probing-sentence-embeddings-with-natural-language-generation BASE Hide details

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