Unsupervised Frame Induction: Event Type Hierarchies and Complex Event Types (FInd)

无监督框架归纳：事件类型层次结构和复杂事件类型 (FInd)

• 批准号: 435371265
• 负责人: Professorin Dr. Laura Kallmeyer
• 金额: --
• 依托单位: Abteilung für Computerlinguistik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/435371265?language=en
• 关键词: Unsupervised; Frame; Induction; Event; Type

The project FInd aims at the unsupervised induction of frames (i.e., event types) for events described by verbs, using techniques from probabilistic frame modeling and from machine learning. The term ``unsupervised" is used here with respect to information about semantic frames, i.e., the system takes only syntactic information as input (for instance part-of-speech tags and dependencies). Beyond investigating techniques of unsupervised frame induction in general, FInd focuses in particular on hierarchical relations between frames and on recursively structured frames that arise from verb alternations. Furthermore, starting from approaches to frame induction for English, FInd will extend these to a multilingual setting with a focus on frame induction for certain types of verbal multi-word expressions.

FInd项目旨在对框架进行无监督的归纳（即，事件类型）的动词描述的事件，使用概率框架建模和机器学习的技术。术语"无监督”在这里用于关于语义框架的信息，即，该系统仅将句法信息作为输入（例如词性标签和依赖性）。除了研究一般的无监督框架归纳技术之外，FInd特别关注框架之间的层次关系和动词交替产生的递归结构框架。此外，从方法框架归纳为英语开始，FInd将这些扩展到多语言环境，重点是框架归纳为某些类型的口头多词表达。