Pragmatics, situated in the domains of linguistics and computational linguistics, explores the influence of context on language interpretation, extending beyond the literal meaning of expressions. It constitutes a fundamental element for NLU in machine intelligence. In the current era dominated by LLMs, the research focus in NLU has predominantly shifted towards high-level task processing, inadvertently downplaying the importance of foundational pragmatic processing tasks. Nevertheless, pragmatics serves as a crucial medium for unraveling human language cognition. The exploration of Pragmatics Processing stands as a pivotal facet in realizing linguistic intelligence. This chapter encompasses important pragmatic processing techniques, namely: metaphor understanding, sarcasm detection, personality recognition, aspect extraction, and polarity detection. It spans theoretical research, the forefront of pragmatic processing techniques, and downstream applications, aiming to underscore the significance of these low-level tasks in advancing NLU and linguistic intelligence.

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Pragmatics Processing

  • Erik Cambria

摘要

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the influence of context on language interpretation, extending beyond the literal meaning of expressions. It constitutes a fundamental element for NLU in machine intelligence. In the current era dominated by LLMs, the research focus in NLU has predominantly shifted towards high-level task processing, inadvertently downplaying the importance of foundational pragmatic processing tasks. Nevertheless, pragmatics serves as a crucial medium for unraveling human language cognition. The exploration of Pragmatics Processing stands as a pivotal facet in realizing linguistic intelligence. This chapter encompasses important pragmatic processing techniques, namely: metaphor understanding, sarcasm detection, personality recognition, aspect extraction, and polarity detection. It spans theoretical research, the forefront of pragmatic processing techniques, and downstream applications, aiming to underscore the significance of these low-level tasks in advancing NLU and linguistic intelligence.