method ID: disentanglement

Related Papers

Context-based Message Expansion for Disentanglement of Interleaved Text Conversations

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

Computational processing of text exchanged in interactive venues in which participants en- gage in simultaneous conversations can bene- fit from techniques for automatically grouping overlapping sequences of messages into sepa- …...

24107

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations

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Publication: TIPSTER (2019)

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AbstractWe propose a generative model for a sentence that uses two latent variables, with one intended to represent the syntax of the sentence and the other to represent its semantics. …...

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How Positive Are You: Text Style Transfer using Adaptive Style Embedding

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Publication: TIPSTER (2020)

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AbstractThe prevalent approach for unsupervised text style transfer is disentanglement between content and style. However, it is difficult to completely separate style information from the content. Other approaches allow the …...

4165

Disentangled Sequence to Sequence Learning for Compositional Generalization

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Publication: TIPSTER (2022)

DOI: nan

AbstractThere is mounting evidence that existing neural network models, in particular the very popular sequence-to-sequence architecture, struggle to systematically generalize to unseen compositions of seen components. We demonstrate that one …...

39095

Learning Disentangled Representations for Natural Language Definitions

Authors: nan

Publication: TIPSTER (2023)

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AbstractDisentangling the encodings of neural models is a fundamental aspect for improving interpretability, semantic control and downstream task performance in Natural Language Processing. Currently, most disentanglement methods are unsupervised or …...

33349