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检索条件"机构=Human Language Technology and Pattern"
385 条 记 录,以下是281-290 订阅
排序:
Exploring Kernel functions in the softmax layer for contextual word classification
arXiv
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arXiv 2019年
作者: Gao, Yingbo Herold, Christian Wang, Weiyue Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Prominently used in support vector machines and logistic regressions, kernel functions (kernels) can implicitly map data points into high dimensional spaces and make it easier to learn complex decision boundaries. In ... 详细信息
来源: 评论
Improving language Model Integration for Neural Machine Translation
arXiv
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arXiv 2023年
作者: Herold, Christian Gao, Yingbo Zeineldeen, Mohammad Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
The integration of language models for neural machine translation has been extensively studied in the past. It has been shown that an external language model, trained on additional target-side monolingual data, can he... 详细信息
来源: 评论
Investigation on data adaptation techniques for neural named entity recognition
arXiv
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arXiv 2021年
作者: Tokarchuk, Evgeniia Thulke, David Wang, Weiyue Dugast, Christian Ney, Hermann Informatics Institute University of Amsterdam Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University
Data processing is an important step in various natural language processing tasks. As the commonly used datasets in named entity recognition contain only a limited number of samples, it is important to obtain addition... 详细信息
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Improvements in RWTH's System for Off-Line Handwriting Recognition
Improvements in RWTH's System for Off-Line Handwriting Recog...
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International Conference on Document Analysis and Recognition
作者: Michal Michał Kozielski Patrick Doetsch Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany Rheinisch-Westfalische Technische Hochschule Aachen Aachen Nordrhein-Westfalen DE Human Language Technol. & Pattern Recognition Group RWTH Aachen Univ. Aachen Germany
In this paper we describe a novel HMM-based system for off-line handwriting recognition. We adapt successful techniques from the domains of large vocabulary speech recognition and image object recognition: moment-base... 详细信息
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Bag-of-visual-words models for adult image classification and filtering
Bag-of-visual-words models for adult image classification an...
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International Conference on pattern Recognition
作者: Thomas Deselaers Lexi Pimenidis Hermann Ney Human Language Technology and Pattern Recognition Security and Privacy Research Computer Science Department RWTH Aachen University Aachen Germany
We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although different systems for this application were ... 详细信息
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Interactive-predictive neural multimodal systems?
arXiv
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arXiv 2019年
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain
Despite the advances achieved by neural models in sequence to sequence learning, exploited in a variety of tasks, they still make errors. In many use cases, these are corrected by a human expert in a posterior revisio... 详细信息
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Is Encoder-Decoder Redundant for Neural Machine Translation?
arXiv
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arXiv 2022年
作者: Gao, Yingbo Herold, Christian Yang, Zijian Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Encoder-decoder architecture is widely adopted for sequence-to-sequence modeling tasks. For machine translation, despite the evolution from long short-term memory networks to Transformer networks, plus the introductio... 详细信息
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Improving Long Context Document-Level Machine Translation
arXiv
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arXiv 2023年
作者: Herold, Christian Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Document-level context for neural machine translation (NMT) is crucial to improve the translation consistency and cohesion, the translation of ambiguous inputs, as well as several other linguistic phenomena. Many work... 详细信息
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On the alignment problem in multi-head attention-based neural machine translation
arXiv
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arXiv 2018年
作者: Alkhouli, Tamer Bretschner, Gabriel Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
This work investigates the alignment problem in state-of-the-art multi-head attention models based on the transformer architecture. We demonstrate that alignment extraction in transformer models can be improved by aug... 详细信息
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Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled
Deep Hand: How to Train a CNN on 1 Million Hand Images When ...
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IEEE Conference on Computer Vision and pattern Recognition
作者: Oscar Koller Hermann Ney Richard Bowden Human Language Technology & Pattern Recog. RWTH Aachen University Centre for Vision Speech & Signal Processing University of Surrey
This work presents a new approach to learning a frame-based classifier on weakly labelled sequence data by embedding a CNN within an iterative EM algorithm. This allows the CNN to be trained on a vast number of exampl... 详细信息
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