Автоэнкодеры

method ID: autoencoders

Related Papers

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractDomain adaptation for sentiment analysis is challenging due to the fact that supervised classifiers are very sensitive to changes in domain. The two most prominent approaches to this problem are …...

5447

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractText generation with generative adversarial networks (GANs) can be divided into the text-based and code-based categories according to the type of signals used for discrimination. In this work, we introduce …...

22051

Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractData scarcity is always a constraint on analyzing speech transcriptions for automatic Alzheimer’s disease (AD) detection, especially when the subjects are non-English speakers. To deal with this issue, this paper …...

3823

Rule Augmented Unsupervised Constituency Parsing

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Recently, unsupervised parsing of syntactic trees has gained considerable attention. prototypical approach to such unsupervisedA parsing employs reinforcement learning and auto-encoders. However, no mechanism en- sures that the learnt model …...

33748