从语言障碍研究中汲取经验，提升语言模型的语法学习与评估能力
Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research
- 借鉴失语症治疗中的语言康复思路设计模型训练策略
- 提出针对复杂句法现象的严谨评估框架
- 适合关注人类认知启发与可持续NLP的学者
本文探讨将语言障碍研究及其临床治疗方法融入语言模型（LMs）研究的潜力，旨在发展受人类启发的学习策略与评估体系。我们分析了源自神经语言学和失语症学的一些重要语言驱动训练方法的理论基础，尤其聚焦于改善失语症患者语法能力恢复与泛化的方法。研究表明，这些临床实践可为语言模型提供更严谨的复杂句法处理评估标准，并推动构建更符合认知规律、更具可持续性的自然语言处理模型。
原文摘要 · Abstract (English)
This position paper investigates the potential of integrating insights from language impairment research and its clinical treatment to develop human-inspired learning strategies and evaluation frameworks for language models (LMs). We inspect the theoretical underpinnings underlying some influential linguistically motivated training approaches derived from neurolinguistics and, particularly, aphasiology, aimed at enhancing the recovery and generalization of linguistic skills in aphasia treatment, with a primary focus on those targeting the syntactic domain. We highlight how these insights can inform the design of rigorous assessments for LMs, specifically in their handling of complex syntactic phenomena, as well as their implications for developing human-like learning strategies, aligning with efforts to create more sustainable and cognitively plausible natural language processing (NLP) models.
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