CRII: RI: Subevent Acquisition and Analysis

描述构成事件的物理行为的子事件广泛存在于事件描述中，并提供事件正在发生的证据。例如，如果一个人要解释他如何知道聚集在街上的人群正在骚乱，他可能会指出政治口号的呼喊或轮胎着火。在这种情况下，骚乱将是事件。喊口号和烧轮胎将是副事件。子事件的知识为描述事件提供了重要的信息，在事件检测、事件可视化、事件摘要和极端事件管理等面向事件的应用中具有巨大的潜力。本计画的目的是从文本语料库中，借由辨识包含子事件的各种情境模式来撷取子事件。子事件识别的研究将使我们更接近于自动构建事件本体，即根据事件之间的关系（子事件、前兆、后果、原因、条件和目的等）来组织事件。一个中心事件。该项目将把研究与教育结合起来，培养和准备未来的NLP研究人员，以及让早期的本科生和高中生接触NLP研究，重点是扩大代表性不足的群体的参与。已经开发了一个初始的子事件提取器，利用特定类型的原始和本地上下文来识别子事件。这个项目将扩展的方法，探索不同类型的上下文，建议子事件，通过将事件共指解析到学习循环。事件共指消解的任务旨在识别指代同一真实的世界事件的事件提及，并且共指事件提及可以出现在来自同一文档或来自多个文档的不同上下文中。在本研究中，透过事件共指解析所识别出的包含子事件的新上下文，将被用来从一个文本语料库中获取更多的子事件。此外，该项目将对学习到的子事件进行广泛的分析。该项目将应用聚类算法以及分析文件样本，以了解子事件在分类和识别父事件属性以及识别涉及父事件的因果关系方面的有用性。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

Subevents that describe physical actions composing an event, widely exist in event descriptions and provide the evidence that an event is occurring. For example, if a person were to explain how he knew that the crowd gathered in the street was rioting, he might point to the shouting of political slogans or tires lit on fire. In this instance, the riot would be the event. The slogan-shouting and tire-burning would be the subevents. Knowledge of subevents provides important information for characterizing events, and has great potential to benefit various event oriented applications, such as event detection, event visualization, event summarization and extreme event management. This project aims to acquire subevents from text corpora by recognizing various contextual patterns that contain subevents. This research on subevent identification will bring us one step closer to automatic event ontology construction, which organizes events based on their relations (subevent, precursor, consequence, cause, condition and purpose, etc.) with a central type of event. This project will integrate research with education, train and prepare the future NLP researchers as well as expose early undergraduate students and high school students to NLP research, with a focus on broadening participation of underrepresented groups.An initial subevent extractor has been developed that leverages a specific type of sentential and local context to recognize subevents. This project will extend the approach to explore diverse types of contexts that suggest subevents, by incorporating event coreference resolution into the learning loop. The task of event coreference resolution aims to identify event mentions that refer to the same real world event, and coreferential event mentions can appear in distinct contexts from the same document or from multiple documents. In the proposed research, new contexts identified through event coreference resolution that contain subevents will be used to acquire more subevents from a text corpus. In addition, this project will conduct extensive analysis of learned subevents. The project will apply clustering algorithms as well as analyze document samples to understand the usefulness of subevents in categorizing and identifying properties of the parent event as well as in identifying causal relations involving the parent event.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.