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Miroslav Blšták

Miroslav Blšták
Kempelen Institute of Intelligent Technologies · NLP Research Group

PhD.
NLP research

About

7
Publications
1,182
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20
Citations

Publications

Publications (7)
Preprint
Full-text available
Automatic question generation is one of the most challenging tasks of Natural Language Processing. It requires "bidirectional" language processing: firstly, the system has to understand the input text (Natural Language Understanding) and it then has to generate questions also in the form of text (Natural Language Generation). In this article, we in...
Chapter
While research of sentiment analysis became very popular on the global scope, in Slovak language as an under-resourced language there are still many issues to be tackled, especially the lack of resources. In this paper, we introduce a sentiment analysis game designed to collect sentiment annotations. The game is intended for a single player who, mo...
Preprint
Full-text available
We introduce a new Slovak masked language model called SlovakBERT in this paper. It is the first Slovak-only transformers-based model trained on a sizeable corpus. We evaluate the model on several NLP tasks and achieve state-of-the-art results. We publish the masked language model, as well as the subsequently fine-tuned models for part-of-speech ta...
Article
Automatic question generation is one of the most challenging tasks of Natural Language Processing. It requires “bidirectional” language processing: first, the system has to understand the input text (Natural Language Understanding), and it then has to generate questions also in the form of text (Natural Language Generation). In this article, we int...
Conference Paper
In this paper, we introduce an interactive approach to generation of factual questions from unstructured text. Our proposed framework transforms input text into structured set of features and uses them for question generation. Its learning process is based on combination of machine learning techniques known as reinforcement learning and supervised...
Conference Paper
This paper presents a novel approach to the area of automated factual question generation. We propose a template-based method which uses the structure of sentences to create multiple sentence patterns on various levels of abstraction. The pattern is used to classify the sentences and to generate questions. Our approach allows to create questions on...

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