Personalized and Subjective approaches to Natural Language Processing

Descripción del proyecto

Tecnología lingüística revolucionaria, adaptable y accesible

El aumento del uso de la inteligencia artificial por parte de diferentes plataformas en línea y redes sociales para la moderación, la detección de lenguaje abusivo y el análisis de opiniones ha dificultado la resolución eficaz de estos problemas. Además, el elevado coste y la complejidad de la tecnología lingüística limitan el acceso de muchas personas y organizaciones, lo que agrava el problema. El proyecto PERSONAE, financiado por el Consejo Europeo de Investigación, mejorará el acceso a la tecnología lingüística haciendo avanzar la investigación sobre tareas subjetivas en el procesamiento del lenguaje natural (PLN). Se centrará en la detección de lenguaje abusivo y el análisis de sentimientos desde la perspectiva de los usuarios individuales, lo que conducirá a mejores diseños de modelos de PLN. Además, el proyecto desarrollará tecnologías de lenguaje subjetivo basadas en esta investigación, garantizando que puedan adaptarse a las necesidades de los individuos con el paso del tiempo.

Objetivo

My project, PERSONAE, will make language technology (LT) accessible and valuable to everyone. I will revolutionize research in subjective tasks in NLP such as abusive language detection and sentiment and emotion analysis by developing a new field called personal NLP, yielding new datasets, tasks, and algorithms. This new research area will explore subjective tasks from the perspective of the individual as information receiver, making users active actors in the creation of LTs instead of mere recipients. This will allow for a more tailored, effective approach to NLP model design, resulting in better models overall.

Each person has their own interests and preferences based on their background and experience. These factors impact their views of what makes them happy, angry, or depressed over time. Language technologies (LTs) can consider individual preferences. However, current research presumes a static view of subjectivity: that a single ground truth underlies subjective tasks such as abusive language detection, an assumption that lacks human variability and prevents universal access to LTs.

Language-based AI such as virtual assistants is widely available. But despite significant scientific advances, most LT applications are inaccessible to individuals and their public's opinion has become increasingly negative. GPT-3's 2020 release boosted business-oriented applications such as copywriting and chatbots, yet few that let people improve their lives—for example, by controlling what they see on social media. This gap becomes more pronounced for subjective tasks.

I will design subjective LTs that can be adapted by individuals at will over time. Based on an ambitious meta approach able to generalize from existing, disconnected work, PERSONAE will rely on fully personalizable privacy-aware algorithms that can be used by anyone. It will reveal benefits of LT far beyond those of existing systems, paving the way for future applications.