A5063700322- Advanced Text Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Scientific Research and Philosophical Inquiry
- Fractal and DNA sequence analysis
- Quantum Computing Algorithms and Architecture
- Algorithms and Data Compression
- Quantum Mechanics and Applications
- Mechanics and Biomechanics Studies
- Molecular spectroscopy and chirality
- Computational Physics and Python Applications
- Advanced Clustering Algorithms Research
- Scientific Measurement and Uncertainty Evaluation
- Bayesian Modeling and Causal Inference
- Computability, Logic, AI Algorithms
- semigroups and automata theory
- Cognitive Science and Education Research
- Cognitive Science and Mapping
ITMO University
2016-2024
Institute of Information Technologies
2021
Abstract The paper presents quantum model of subjective text perception based on binary cognitive distinctions corresponding to words natural language. result is state represented by vector in the qubit Hilbert space. Complex-valued structure space extends standard vector-based approach semantics, allowing account for dimension human which constrained, but not fully predetermined input information. In case two distinctions, generates a two-qubit state, entanglement quantifies semantic...
Syntactic text analysis is a very important step of automatic processing. The key problem that all existing approaches are dictionary-dependent. It can be impossible to analyze sentences because the lack one word in dictionary. However even presence dictionary does not resolve phrases interpretation ambiguity. At same time fusional languages contain enough information about parts speech. Particularly, endings nouns, adjectives, verbs and participles cannot fully indicate their case, number...
The paper is dedicated to the problem of automatic term extraction from natural language texts. One first steps in this topic building a domain thesaurus. Well approved methods terms based on word frequencies exist for alphabetic languages. Direct application these hieroglyphic texts challenged because missing spaces between words. sentence segmentation task languages usually solved by dictionaries or statistical methods, particularly, means mutual information approach. Sentence as well...
Search engines are able to find documents containing patterns from a query. This approach can be used for alphabetic languages such as English. However, Chinese is highly dependent on context. The significant problem of text processing the missing blanks between words, so it necessary segment words before any other action. Algorithms segmentation should consider context; that is, word process depends ideograms. As existing algorithms imperfect, we have considered an build context all...
The development of the machine learning algorithms for information search in recent years made it possible to represent text and multimodal documents form vectors. These vector representations (embeddings) preserve semantic content allow be performed as calculation distance between Compressing embeddings can reduce amount memory they occupy improve computational efficiency. article discusses existing methods compressing without loss accuracy with accuracy. A method is proposed error by...
This article shows the analogy between natural language texts and quantum-like systems on example of Bell test calculating. The applicability well-known for in Russian is investigated. possibility using this text separation topics corresponding to user query information retrieval system shown.
This article describes artificial neural network use case for named entity recognition text obtained through audio interfaces. The efficiency of the training method based on modified data set was shown.
Creation of intelligent systems in the paradigm logical decision-making requires formalization knowledge form ontologies, production models, etc.However, a rigorous is far from always possible due to incompleteness, inaccuracy, and inconsistency data.In this regard, recently, attention researchers has shifted extracting natural language texts.Particularly noteworthy recently developing approach based on use quantum formalism objects macrocosm, which allows one consider uncertainty inaccuracy...
ТЕППИНГ-ТЕСТОВАЯ ХАРАКТЕРИСТИКА СЕНСОМОТОРНОЙ РАБОТОСПОСОБНОСТИ ПРИ ЗАТРУДНЁННОМ ЛОКАЛЬНОМ КРОВОТОКЕ С УЧЁТОММАНУАЛЬНОЙ АСИММЕТРИИ (СООБЩЕНИЕ 3)