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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.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
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Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
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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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Language Development01:22

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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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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Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience,...
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Un marco robusto de generación de texto a SQL en lenguaje natural con estrategias dinámicas basadas en LLM

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TriSQL, un nuevo marco de tres etapas, mejora la generación de lenguaje natural a SQL (Text2SQL) analizando la complejidad de las preguntas. Logra una precisión de vanguardia, superando a los métodos existentes para consultas complejas.

Palabras clave:
generación de texto a SQLmodelos de lenguaje grandesbases de datosprocesamiento del lenguaje naturalaprendizaje automático

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Área de la Ciencia:

  • Inteligencia Artificial
  • Bases de Datos
  • Procesamiento del Lenguaje Natural

Sus antecedentes:

  • La generación de texto a SQL en lenguaje natural (Text2SQL) tiene como objetivo traducir preguntas en lenguaje natural en consultas SQL ejecutables.
  • Los modelos de lenguaje grandes (LLM) han avanzado Text2SQL, pero el rendimiento se degrada con el aumento de la complejidad de las preguntas.
  • Los métodos actuales de LLM carecen de adaptación dinámica a la complejidad variable de las preguntas.

Objetivo del estudio:

  • Proponer TriSQL, un marco novedoso de tres etapas para abordar las limitaciones de los métodos Text2SQL actuales.
  • Mejorar la precisión y la ejecutabilidad del SQL generado a partir de preguntas complejas en lenguaje natural.
  • Adaptar dinámicamente las estrategias de generación en función de la complejidad de la pregunta y del SQL inicial.

Principales métodos:

  • Selector de Esquema Guiado por Preguntas: Utiliza la atención cruzada para identificar el esquema más relevante para una pregunta dada.
  • Generador de SQL Consciente de la Estructura: Emplea decodificación jerárquica para crear un SQL inicial sintácticamente válido a partir de la pregunta y el esquema seleccionado.
  • Refinador de SQL Consciente de la Complejidad: Aprovecha los LLM para ajustar dinámicamente las estrategias de generación de SQL en función de la complejidad de la pregunta y del SQL inicial.

Principales resultados:

  • TriSQL logra una precisión de ejecución de vanguardia en el benchmark Spider y sus variantes.
  • El método propuesto supera a los enfoques Text2SQL existentes basados en LLM.
  • TriSQL demuestra una alta eficiencia y una sólida robustez en la generación de SQL preciso y ejecutable.

Conclusiones:

  • TriSQL ofrece un avance significativo en la generación Text2SQL al adaptarse dinámicamente a la complejidad de las preguntas.
  • El marco proporciona una solución robusta y eficiente para traducir preguntas complejas en lenguaje natural a SQL ejecutable.
  • TriSQL establece un nuevo estándar de precisión en tareas complejas de Text2SQL.