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Natural Language Processing
This chapter discusses natural language processing (NLP) which deals with regression modeling of non-tabular or unstructured text data. We explain... -
Improving Neural Models for Natural Language Processing in Russian with Synonyms
Large-scale neural network models, including models for natural language processing, require large datasets that could be unavailable for...
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Strongly Entangling Neural Network: Quantum-Classical Hybrid Model for Quantum Natural Language Processing
One of the most used techniques to improve a Machine Learning model is to gather more data. An interesting field in Machine Learning is Sequence... -
Deep Learning for Natural Language Processing: A Survey
Over the last decade, deep learning has revolutionized machine learning. Neural network architectures have become the method of choice for many...
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MedLexSp – a medical lexicon for Spanish medical natural language processing
BackgroundMedical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and...
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Processing Natural Language with Biomolecules: Where Linguistics, Biology and Computation Meet
The explanation, formal modelling and processing of language remain a challenge. Natural language is a hard problem not only for linguistics that has... -
Information Retrieval and Natural Language Processing A Graph Theory Approach
This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number...
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Classifying literature mentions of biological pathogens as experimentally studied using natural language processing
BackgroundInformation pertaining to mechanisms, management and treatment of disease-causing pathogens including viruses and bacteria is readily...
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Complex Structure of Number in Language Processing
This paper is particularly focused on plurality to discuss number system in Punjabi and Hindi. Taking the account of Punjabi, many interesting facts... -
Analyzing Natural-Language Knowledge Under Uncertainty on the Basis of Description Logics
The article overviews the means for describing and formally analyzing natural-language text knowledge under uncertainty. We consider a family of...
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Natural Language
AlthoughNatural Language Processingnatural language we are constantly exposed to written text and human speech, most of the data we encounter in... -
Natural-Language Text Compression Using Reverse Multi-Delimiter Codes
This paper studies binary reverse multi-delimiter (RMD) data compression codes. RMD codes have a range of useful properties, such as unique...
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Analyzing Natural Languages: Antimems, Contradictions, and Onthologies
Problems of the analysis of natural language texts are considered. In particular, approaches to the partial solution to problems of logical...
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Explanatory argumentation in natural language for correct and incorrect medical diagnoses
BackgroundA huge amount of research is carried out nowadays in Artificial Intelligence to propose automated ways to analyse medical data with the aim...
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A constant-factor approximation for generalized malleable scheduling under \(M ^{\natural }\)-concave processing speeds
In generalized malleable scheduling, jobs can be allocated and processed simultaneously on multiple machines so as to reduce the overall makespan of...
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The Design of Mathematical Language
As idealized descriptions of mathematical language, there is a sense in which formal systems specify too little, and there is a sense in which they... -
Disaster Incident Analysis via Algebra Stories
Disaster management requires detailed data from past disasters for policy planning as well as for the generation of disaster exercises and...
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Quantifying Context With and Without Statistical Language Models
Context is a driving force behind many cognitive computational models and touches nearly all aspects of human cognition. Moreover, researchers in... -
Optimal Wheeler Language Recognition
A Wheeler automaton is a finite state automaton whose states admit a total Wheeler order, reflecting the co-lexicographic order of the strings... -
Representation, Analysis, and Extraction of Knowledge from Unstructured Natural Language Texts
This article overviews means of description logics for representing knowledge contained in natural language texts and a classification of description...