泛依赖树的单调性标记
Monotonicity Marking from Universal Dependency Trees
摘要：
依存句法分析是自然语言处理和计算语言学领域中广泛使用的一种工具。然而，几乎没有任何工作，连接依存句法分析的单调性，这是一个重要组成部分的逻辑和语言语义。在本文中，我们提出了一个系统，自动注释单调性信息的基础上通用依赖分析树。我们的系统利用表面水平的单调性事实量词，词汇项目，和令牌级极性信息。我们在一个小的评估数据集上比较了我们的系统与文献中现有系统的性能，包括NatLog和ccg2mono。结果表明，我们的系统优于NatLog和ccg2mono。
英文摘要：
Dependency parsing is a tool widely used in the field of Natural language processing and computational linguistics. However, there is hardly any work that connects dependency parsing to monotonicity, which is an essential part of logic and linguistic semantics. In this paper, we present a system that automatically annotates monotonicity information based on Universal Dependency parse trees. Our system utilizes surface-level monotonicity facts about quantifiers, lexical items, and token-level polarity information. We compared our system's performance with existing systems in the literature, including NatLog and ccg2mono, on a small evaluation dataset. Results show that our system outperforms NatLog and ccg2mono.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
