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
Latent Tree Language Model
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (2016)
BibTex | PDF
Semantic analysis | Language modeling
Tomáš Brychcín and Miloslav Konopík
Latent semantics in language models
Computer Speech & Language (2015)
BibTex | PDF | ScienceDirect
Semantic analysis | Language modeling
Michal Konkol and Tomáš Brychcín and Miloslav Konopík
Latent semantics in Named Entity Recognition
Expert Systems with Applications (2015)
BibTex | ScienceDirect
Named entitity recognition | Semantic analysis
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)
BibTex | PDF
Semantic analysis | Language modeling
Michal Nykl
Semantic analysis of software specifications with Linked Data
Journal of Theoretical and Applied Information Technology (2014)
BibTex | Researchgate
Semantic analysis
Tomáš Brychcín and Miloslav Konopík
Semantic spaces for improving language modeling
Computer Speech & Language (2014)
BibTex | PDF | ScienceDirect
Semantic analysis | Language modeling
Michal Nykl
Exploration of Document Classification with Linked Data and PageRank
Intelligent Distributed Computing VII (2014)
BibTex | Researchgate
Document classification | Semantic analysis
Tomáš Brychcín and Pavel Král
Novel Unsupervised Features for Czech Multi-label Document Classification
13th Mexican International Conference on Artificial Intelligence (MICAI 2014) (2014)
BibTex | PDF
Document classification | Semantic analysis
Tomáš Brychcín and Michal Konkol and Josef Steinberger
UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) (2014)
BibTex | PDF
Named entitity recognition | Sentiment analysis | 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
Ivan Habernal and Tomáš Brychcín
Semantic Spaces for Sentiment Analysis
Text, Speech and Dialogue (2013)
BibTex | PDF
Sentiment analysis | Semantic analysis


Contact Us
NLP group
nlp@mail.kiv.zcu.cz
Department of Computer Science and Engineering
University of West Bohemia
Univerzitni 8
306 14 Plzen
Czech Republic
We offer
  • Technology for use in your product innovation projects
  • Processing test studies
  • System design based on our algorithm and our know-how
  • Licensing of the resulting system
  • More than 12 years cooperation with foreign institutions and firms
  • We are ready for cooperation with you too
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