Semantic analysis

Semantic analysis serves as the essential part of our research. We develope algorithms trying to discover hidden relationships between words and text spans according to words distribution in the corpora. Until now, we have successfully used this research in many areas (e.g. to improve the Language modeling, Named entity recognition, Sentiment analysis, Document classification, etc.).

Publications

Tomáš Brychcín and Pavel Král
Unsupervised Dialogue Act Induction using Gaussian Mixtures
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers (2017)
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Semantic analysis
Tomáš Brychcín
Latent Tree Language Model
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (2016)
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Semantic analysis | Language modeling
Tomáš Brychcín and Miloslav Konopík
HPS: High precision stemmer
Information Processing & Management (2015)
BibTex | PDF | ScienceDirect
Semantic analysis | Language modeling
Pavel Král and Ladislav Lenc and Christophe Cerisara
Semantic Features for Dialogue Act Recognition
3rd International Conference on Statistical Language and Speech Processing (SLSP 2015) (2015)
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Semantic analysis | Language modeling
Tomáš Brychcín and Pavel Král
Novel Unsupervised Features for Czech Multi-label Document Classification
13th Mexican International Conference on Artificial Intelligence (MICAI 2014) (2014)
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Document classification | Semantic analysis
Michal Nykl
Cluster labeling with Linked Data
Journal of Theoretical and Applied Information Technology (2013)
BibTex | Researchgate
Semantic analysis
Ivan Habernal and Miloslav Konopík
SWSNL: Semantic Web Search Using Natural Language
Expert Systems with Applications (2013)
BibTex | PDF | ScienceDirect
Semantic analysis
Michal Nykl
Linked Data and PageRank based classification
IADIS International Conference Theory and Practice in Modern Computing 2013 (part of MCCSIS 2013) (2013)
BibTex | Researchgate
Document classification | Semantic analysis
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