RI: Small: Collaborative Research: Word Sense and Multilingual Subjectivity Analysis

主观性和情感分析的方法通常依赖于人工或自动构建的词典。大多数这类词汇都是以词汇表的形式编纂的，而不是词义(义)。然而，许多词既有主客观意义，也有不同极性的意义，这是主观性和情感分析中歧义的主要来源。通过研究主观感觉标记的新方法，并利用感觉感知主观性和情感分析的结果，拟议的工作解决了这一差距。为了实现这些目标，有三个研究目标是有针对性的。第一个是开发为分类法中的词义分配主观性标签的方法。二是开发语境主观性消歧技术，有效利用词义主观性标注。第三是将这些技术应用于多种语言，包括资源比英语少的语言。该项目将在研究和教育方面产生更广泛的影响。首先，它将使主观性和情感资源和工具更广泛地以多种语言提供给研究界，这将有助于推动自动主观性分析的最新水平，这反过来将有利于最终应用。第二，将实现几个教育目标：在计算语言学方面培训研究生和本科生；用基于拟议研究的项目加强人工智能课程，这将为学生提供自然语言处理研究的实践经验；以及接触妇女和少数群体，以增加他们对文本处理技术的接触和获得研究机会。

Approaches to subjectivity and sentiment analysis often rely onmanually or automatically constructed lexicons. Most such lexicons arecompiled as lists of words, rather than word meanings ("senses").However, many words have both subjective and objective senses as wellas senses of different polarities, which is a major source ofambiguity in subjectivity and sentiment analysis. The proposed workaddresses this gap, by investigating novel methods for subjectivitysense labeling, and exploiting the results in sense-aware subjectivityand sentiment analysis. To achieve these goals, three researchobjectives are targeted. The first is developing methods for assigningsubjectivity labels to word senses in a taxonomy. The second isdeveloping contextual subjectivity disambiguation techniques toeffectively make use of the word sense subjectivity annotations. Thethird is applying these techniques to multiple languages, includinglanguages with fewer resources than English. The project will havebroader impacts in both research and education. First, it will makesubjectivity and sentiment resources and tools more widely available,in multiple languages, to the research community, which will helpadvance the state of the art in automatic subjectivity analysis, whichin turn will benefit end applications. Second, several educationalgoals will be pursued: training graduate and undergraduate students incomputational linguistics; augmenting artificial intelligence courseswith projects based on the proposed research, which will offerstudents hands-on experience with natural language processingresearch; and reaching out to women and minorities to increase theirexposure to text processing technologies and access to researchopportunities.