基于时态、体和语气的事件抽取方法及其在危机处理中的应用
Tense, aspect and mood based event extraction for situation analysis and crisis management
摘要：
现在的事件抽取系统主要处理相对少量的关于情景的时间和模态限定的信息，主要处理过去时态的断言句。然而，具有更广泛的时态、体和语气覆盖范围的系统可以提供更好的分析，并且可以用于更广泛的文本分析应用。本论文针对土耳其语开发了一个这样的系统。这是通过扩展开放源代码信息挖掘和分析（OPTIMA）研究小组的事件提取软件，通过实现适当的扩展的语义表示格式，通过添加一个部分语法，提高TAM（时态，方面和语气）标记，副词分析和匹配功能的Express，并通过构建一个适当的词典在CORLEONE的标准。这些扩展基于IV锚定关系理论（Temürcü，2007，2011），这是一个跨语言适用的语义框架，用于分析时态，体和语气相关类别。其结果是一个系统，它可以，除了提取基本的事件结构，分类的句子在新闻报道中，根据其时间，模态和意志/言外之言的价值。虽然重点是土耳其语的自然灾害、疾病爆发和人为灾害的新闻报道，但这种方法可以适用于其他语言、领域和体裁。这一事件提取和分类系统经过进一步发展，可以为自动浏览系统提供基础，以防止环境和人道主义风险。
英文摘要：
Nowadays event extraction systems mainly deal with a relatively small amount of information about temporal and modal qualifications of situations, primarily processing assertive sentences in the past tense. However, systems with a wider coverage of tense, aspect and mood can provide better analyses and can be used in a wider range of text analysis applications. This thesis develops such a system for Turkish language. This is accomplished by extending Open Source Information Mining and Analysis (OPTIMA) research group's event extraction software, by implementing appropriate extensions in the semantic representation format, by adding a partial grammar which improves the TAM (Tense, Aspect and Mood) marker, adverb analysis and matching functions of ExPRESS, and by constructing an appropriate lexicon in the standard of CORLEONE. These extensions are based on iv the theory of anchoring relations (Temürcü, 2007, 2011) which is a crosslinguistically applicable semantic framework for analyzing tense, aspect and mood related categories. The result is a system which can, in addition to extracting basic event structures, classify sentences given in news reports according to their temporal, modal and volitional/illocutionary values. Although the focus is on news reports of natural disasters, disease outbreaks and man-made disasters in Turkish language, the approach can be adapted to other languages, domains and genres. This event extraction and classification system, with further developments, can provide a basis for automated browsing systems for preventing environmental and humanitarian risk.
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。
