In this paper, we propose a mean-max attention autoencoder (mean-max AAE) within the encoder-decoder framework. Our autoencoder rely entirely on the MultiHead ...

Sep 18, 2018 · In this paper, we propose a mean-max attention autoencoder (mean-max AAE) within the encoder-decoder framework. Our autoencoder rely entirely on ...

Experimental results on a broad range of 10 transfer tasks demonstrate that the proposed mean-max attention autoencoder (mean-max AAE) outperforms the ...

In this paper, we propose a mean-max attention autoencoder (mean-max AAE) within the encoder-decoder framework. Our autoencoder rely entirely on the MultiHead ...

We provide a simple interface to encode English sentences. Get started with the following steps: 1) Download our Mean-Max AAE models and put it to ...

Sep 18, 2018 · In this paper, we present a mean-max AAE to learn universal sentence representations from un- labelled data. Our model applies the MultiHead.

Examples of such sentence embeddings include the Smooth Inverse Frequency (SIF) (Arora et al., 2017), the Mean-Max Attention Autoencoder (Mean-Max AAE) (Zhang ...

Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li: Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. CoRR abs/1809.06590 (2018).

An Unsupervised Model with Attention Autoencoders for Question Retrieval ... Learning Universal Sentence Representations with Mean-Max Attention Autoencoder.

Mar 26, 2022 · This survey summarizes the current universal sentence-embedding methods, categorizes them into four groups from a linguistic view, and ultimately analyzes ...