About the Centre

The Centre for Language and Semantic Technologies is part of the HSE Faculty of Computer Science. It was created to address natural language processing and the development of semantic technologies based on both interpretable artificial intelligence methods and modern machine learning models.

The centre develops methodologies for analysing unstructured data (including texts in natural and formal languages), interpretable methods for analysing text data, and methods for interpreting neural network models; develops recommender systems, including those based on user feedback; creates benchmarks and new text datasets; and analyses dynamic text sequences and complex data. The centre is participating in a major project at HSE University that will bring together interdisciplinary experts (AI specialists, linguists, and cognitive scientists) to effectively address the challenge of creating domestic intelligent systems for processing large and very large arrays of linguistic information.

The centre's main objectives are:

1. developing and advancing interpretable machine learning and data mining methods for NLP and recommender systems.
2. developing models that enhance the functionality of existing large language models by leveraging additional resources: linguistic models, knowledge models, search models, and planning algorithms.
3. developing models and methods for automatic knowledge acquisition using large language models (LLM), including methods for transfer learning between different languages ​​and different tasks
4. developing models and methods for research, modelling, and analysis within the framework of complex systems theory.
5. developing semantic analysis tools based on mathematical methods in formal concept theory.

Structure:

1. International Laboratory of Intelligent Systems and Structural Analysis
2. Laboratory of Models and Methods of Computational Pragmatics
3. Laboratory of Complex Systems Modelling and Control
4. Semantics Analysis Laboratory