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08/15/2023
MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction
Automatic assessment of the quality of scholarly documents is a difficul...
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09/10/2021
Active learning for reducing labeling effort in text classification tasks
Labeling data can be an expensive task as it is usually performed manual...
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12/21/2020
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction
Predicting the number of citations of scholarly documents is an upcoming...
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04/30/2020
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction
Training recurrent neural networks on long texts, in particular scholarl...
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09/09/2019
Combining SMT and NMT Back-Translated Data for Efficient NMT
Neural Machine Translation (NMT) models achieve their best performance w...
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08/26/2019
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation
Machine Translation models are trained to translate a variety of documen...
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06/18/2019
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods
Data selection has proven its merit for improving Neural Machine Transla...
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02/28/2019
No Padding Please: Efficient Neural Handwriting Recognition
Neural handwriting recognition (NHR) is the recognition of handwritten t...
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11/07/2018
Data Selection with Feature Decay Algorithms Using an Approximated Target Side
Data selection techniques applied to neural machine translation (NMT) ai...
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04/17/2018
