Search Results for author: Hinrich Schuetze

Found 8 papers, 0 papers with code

Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

no code implementations8 Mar 2021 Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen, Ulli Waltinger, Hinrich Schuetze

Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overview of the discussions.

Few-Shot Learning Text Summarization

Nonsymbolic Text Representation

no code implementations3 Oct 2016 Hinrich Schuetze, Heike Adel, Ehsaneddin Asgari

We introduce the first generic text representation model that is completely nonsymbolic, i. e., it does not require the availability of a segmentation or tokenization method that attempts to identify words or other symbolic units in text.

Denoising Tokenization

Two SVDs produce more focal deep learning representations

no code implementations16 Jan 2013 Hinrich Schuetze, Christian Scheible

A key characteristic of work on deep learning and neural networks in general is that it relies on representations of the input that support generalization, robust inference, domain adaptation and other desirable functionalities.

Domain Adaptation

Cutting Recursive Autoencoder Trees

no code implementations13 Jan 2013 Christian Scheible, Hinrich Schuetze

This makes the analysis of learned structures particularly difficult.

General Classification

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