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.

该研讨会聚集了词汇资源的开发人员和用户，语料库和计算语言学家以及自然语言处理的研究人员，讨论词汇数据库WordNet中形容词的有针对性的重组。 具体的建议，以取代当前的形容词周围的反义词与有序的规模反映的相对强度的尺寸形容词，如“大”，“巨大”和“巨大”的聚类的子集，提出了沿着与初步的工作，展示了基于语料库的建设规模的词汇语义模式的可行性及其潜在的好处，自然语言处理。 讨论的主题包括：（1）编码标量属性的应用程序，包括词义消歧，文本蕴涵和语言教学的主要好处;（2）合适的语料库提取数据的规模建设;（3）最近开发的标量Scales方法的局限性和替代或补充方法提取标量属性;和（4）在WordNet中的标量形容词建模。 与会者评估其可行性，价值和相关性，其未来的研究和应用的形容词重组的建议。 将编写一份报告，其中包括小组的发言、讨论和建议，并通过WordNet网站免费传播。广泛的专家团体的代表阐明并商定的广泛使用的WordNet数据库今后有针对性的发展方向，确保对语言技术和教学法的研究和应用产生重大影响。 对于博士后研究员和研究生来说，讲习班提供了一个与该领域专家互动的独特机会。