A Workshop on Restructuring Adjectives in WordNet

WordNet 中形容词重组研讨会

• 批准号: 1139844
• 负责人: Christiane Fellbaum
• 金额: $ 2万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1139844&HistoricalAwards=false
• 关键词: Workshop; Restructuring; Adjectives; WordNet

The workshop gathers developers and users of lexical resources, corpus and computational linguists and researchers in natural language processing to discuss a targeted restructuring of the adjectives in the lexical database WordNet. Specific proposals for replacing a subset of the current clustering of adjectives around antonyms with ordered scales reflecting the relative intensity of dimensional adjectives, such as "big", "huge" and "gigantic", are presented along with preliminary work demonstrating the feasibility of corpus-based construction of scales by means of lexical-semantic patterns and their potential benefits for NLP. Discussion topics include (1) the principal benefits of encoding scalar properties for applications including word sense disambiguation, textual entailment and language pedagogy; (2) suitable corpora for extracting data for scale construction; (3) limitations of the recently-developed AdjScales method and alternative or complementary methods for extracting scalar properties; and (4) modeling of scalar adjectives in WordNet. Participants evaluate the proposed restructuring of adjectives for its feasibility, value and relevance to their own work and its potential for future research and applications. A report including the presentations, discussions and recommendations of the group will be prepared and freely disseminated via the WordNet website. The directions for targeted future developments of the widely used WordNet database as spelled out and agreed upon by representatives from a broad expert community assure significant consequences for research and applications in language technology and pedagogy. For a post-doctoral fellow and a graduate student the workshop provides a unique opportunity to interact with experts in the field.

研讨会收集了开发人员和词汇资源，语料库和计算语言学家以及自然语言处理中的研究人员的用户，以讨论词汇数据库WordNet中形容词的有针对性重组。 替换尺寸有序尺度的反式形容词集群的一部分的具体建议，反映了尺寸形容词的相对强度，例如“大”，“巨大”和“巨大”，以及初步的工作，展示了基于词素的范围构建量表的可行性，这些工作是通过词汇构造的潜在效果及其潜在的nlp and n lpp的可行性。 讨论主题包括（1）编码标量属性的应用程序的主要好处，包括单词sense剥夺，文本构成和语言教学法； （2）合适的语料库，用于提取用于规模构建的数据； （3）最近开发的Adjscales方法以及提取标量特性的替代或互补方法的局限性； （4）WordNet中标量形容词的建模。 参与者评估了形容词对其工作的可行性，价值和相关性以及未来研究和应用的潜力的拟议重组。 包括该小组的演示，讨论和建议在内的报告将通过WordNet网站进行准备并自由传播。广泛的专家社区的代表阐明并同意了广泛使用的WordNet数据库的有针对性的未来发展方向，可确保对语言技术和教学法中的研究和应用产生重大影响。 对于博士后研究员和研究生，研讨会为与该领域的专家互动提供了独特的机会。