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1 背景介绍在诸多自然语言处理应用问题中,传统手工规则的失败暴露了经典人工智能IF-THEN推理模式在自然语言知识体系尚未完全把握的情况下的缺陷。由此,在一定知识推理机制体系下,自然语言的知识表示和知识获取作为自然语言处理中的关键问题已经成为困扰其形式化的主要瓶颈。
1 Background Introduction Among many natural language processing applications, the failure of the traditional manual rules reveals the flaws of the classic artificial intelligence IF-THEN reasoning model under the condition that the natural language knowledge system is not yet fully understood. Therefore, under certain system of knowledge reasoning, natural language knowledge representation and knowledge acquisition as the key issues in natural language processing have become the main bottleneck that plagued its formalization.