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Related Concept Videos

Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Components of Language01:24

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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Language01:16

Language

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Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
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Complementation Tests00:49

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A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
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Region of Convergence01:17

Region of Convergence

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The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is a crucial tool in the analysis of discrete-time systems, but its convergence is limited to specific values of the complex variable z. This range of values, known as the Region of Convergence (ROC), is fundamental in determining the behavior and stability of a system or signal. The ROC defines the region in the complex plane where the z-transform converges, which can take various...
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Convergent Evolution01:54

Convergent Evolution

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Related Experiment Video

Updated: Jul 21, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
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ConSQL: A Database Language for Contex-aware Conversational Cooperative Query Answering.

Hasan Jamil1

  • 1Department of Computer Science, University of Idaho, 875 Perimeter Drive, Moscow, 83844, ID, USA.

Research Square
|July 28, 2023
PubMed
Summary

Context modeling in conversational AI is improved by viewing context as a distance function. This approach uses query relaxation and non-monotonic constraint inheritance for more efficient chatbot interactions.

Keywords:
Contextual queryingnon-monotonic constraint inheritancepreferred tuplesquery relaxationtop-k querying

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Area of Science:

  • Natural Language Processing
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • Conversational query answering systems often fail due to poor context understanding, leading to repetitive interactions or escalation to human agents.
  • Effective context management is crucial for reducing interaction length and improving user experience in chatbots.
  • Existing methods struggle to capture the dynamic nature of context in ongoing conversations.

Conclusions:

  • Context can be effectively modeled as a distance function using query relaxation.
  • This novel approach enhances the ability of conversational systems to maintain and utilize context.
  • The findings pave the way for more natural and efficient human-bot interactions.