Daniel Hládek

Also published as: Daniel Hladek


2019

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適合漸凍人使用之語音轉換系統初步研究 (Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)
Bai-Hong Huang | Yuan-Fu Liao | Guang-Feng Deng | Matúš Pleva | Daniel Hládek
International Journal of Computational Linguistics & Chinese Language Processing, Volume 24, Number 2, December 2019

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Sequence to Sequence Convolutional Neural Network for Automatic Spelling Correction
Daniel Hládek | Matúš Pleva | Ján Staš | Yuan-Fu Liao
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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基於深度學習之簡答題問答系統初步探討(A Preliminary Study on Deep Learning-based Short Answer Question Answering System)
Yu-Chen Lin | Yuan-Fu Liao | Matúš Pleva | Daniel Hládek
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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基於深度類神經網路之多模式情感偵測初步探討(A Preliminary Study on Deep Learning Neural Networks-based Multi-Model Sentiment Detection)
Tai-Rong Chen | Yuan-Fu Liao | Chen-Ming Pan | Tzu-Hsiu Kuo | Matúš Pleva | Daniel Hládek
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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適合漸凍人使用之語音轉換系統初步研究(Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)
Bai-Hong Huang | Yuan-Fu Liao | Matúš Pleva | Daniel Hládek
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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Building of children speech corpus for improving automatic subtitling services
Matus Pleva | Stanislav Ondas | Daniel Hládek | Jozef Juhar | Ján Staš | Yuan-Fu Liao
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

2016

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Evaluation Set for Slovak News Information Retrieval
Daniel Hládek | Jan Staš | Jozef Juhár
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This work proposes an information retrieval evaluation set for the Slovak language. A set of 80 queries written in the natural language is given together with the set of relevant documents. The document set contains 3980 newspaper articles sorted into 6 categories. Each document in the result set is manually annotated for relevancy with its corresponding query. The evaluation set is mostly compatible with the Cranfield test collection using the same methodology for queries and annotation of relevancy. In addition to that it provides annotation for document title, author, publication date and category that can be used for evaluation of automatic document clustering and categorization.

2014

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The Slovak Categorized News Corpus
Daniel Hladek | Jan Stas | Jozef Juhar
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The presented corpus aims to be the first attempt to create a representative sample of the contemporary Slovak language from various domains with easy searching and automated processing. This first version of the corpus contains words and automatic morphological and named entity annotations and transcriptions of abbreviations and numerals. Integral part of the proposed paper is a word boundary and sentence boundary detection algorithm that utilizes characteristic features of the language.