SGER: Collaborative Research: Exploring the Role of Word Senses in Subjectivity Analysis

SGER：协作研究：探索词义在主观性分析中的作用

• 批准号: 0840608
• 负责人: Rada Mihalcea
• 金额: $ 6.94万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0840608&HistoricalAwards=false
• 关键词: SGER; Collaborative; Research; Exploring; Role

Title: SGER: Collaborative Research: Exploring the Role of Word Senses in Subjectivity AnalysisApproaches to subjectivity and sentiment analysis often rely on manually or automatically constructed lexicons. Most such lexicons are compiled as lists of words, rather than word meanings (senses). However, many words have both subjective and objective senses, which is a major source of ambiguity in subjectivity and sentiment analysis.The goal of this exploratory research project is to address this gap, by investigating novel methods for subjectivity sense labeling, and exploiting the results in sense-aware subjectivity analysis. Specifically, the project targets two research objectives. The first objective is to develop new methods for assigning subjectivity labels to word senses in a taxonomy. The second objective is to explore contextual subjectivity disambiguation techniques that will effectively make use of the word sense subjectivity annotations. By achieving these objectives, the project is expected to contribute to the understanding of the connections among subjectivity, word senses, and contextual subjectivity analysis, which will serve as a stepping stone for continued research efforts in this area.The resources created in this project will be made available to the research community, which will help advance the state of the art in automatic sentiment and subjectivity analysis.

职务名称：SGER：合作研究：主观性和情感分析的方法通常依赖于手动或自动构建的词典。大多数这样的词典都是以单词列表的形式编纂的，而不是单词的含义（意义）。然而，许多词都有主观和客观的意义，这是一个主要的来源，在主观性和情感分析的歧义。这个探索性的研究项目的目标是解决这个差距，通过调查的主观意义标记的新方法，并利用在感官意识的主观性分析的结果。具体而言，该项目有两个研究目标。第一个目标是开发新的方法来分配主观性标签的词义分类。第二个目标是探索语境主观性消歧技术，有效地利用词义主观性标注。通过实现这些目标，该项目有望有助于理解主观性、词义和语境主观性分析之间的联系，这将成为该领域持续研究的垫脚石。该项目创建的资源将提供给研究社区，这将有助于推进自动情感和主观性分析的最新技术水平。