CAREER: Semantic Interpretation with Monolingual and Cross-lingual Evidence

职业：单语和跨语言证据的语义解释

• 批准号: 1361274
• 负责人: Rada Mihalcea
• 金额: $ 11.61万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1361274&HistoricalAwards=false
• 关键词: CAREER; Semantic; Interpretation; Monolingual; Cross

Word meanings are central to the semantic interpretation of texts.Although much work to date has focused on statistical approaches that often ignore the explicit understanding of the text, recent research work has begun to challenge this simplification, demonstrating that semantic interpretation is indeed essential for a number of language processing applications.The key observation underlying this CAREER project is that word meaning distinctions differ from one lexical resource to another and that the optimality of word meaning representations should be dictated by the target application. The project is exploring rich and flexible word meaning representations that combine the benefits of multiple monolingual and cross-lingual lexical resources and that can be adapted to the context and to the target application. In particular, the multilingual nature of these representations allows for an effective exploitation of the knowledge and resources available in different languages. The project also explores the role played by these word meaning representations and the corresponding monolingual and cross-lingual knowledge sources in several natural language processing tasks including lexical substitution, word and text translation, and text-to-text semantic similarity.Another aim of the project is to integrate natural language processing into educational applications, and explore the use of the word meaning interpretation models to build a comprehension-assistant tool for students of English as a second language (ESL) and English as a foreign language (EFL). The educational program also fosters increased awareness about research in multilingual natural language processing among college, undergraduate, and graduate students, through a college outreach program and a new course on multilingual computational linguistics, as well as increased exposure of students to international experiences through international collaborations.

词义是语篇语义理解的核心。虽然到目前为止，许多工作都集中在统计方法上，但最近的研究工作已经开始挑战这种简化，表明语义解释对于一些语言处理应用程序确实是必不可少的。这一职业项目背后的关键观察是，词义的区别在不同的词汇资源之间是不同的，词义表征的最优化应该由目标应用程序来决定。该项目正在探索丰富而灵活的词义表达方式，将多种单语和跨语言词汇资源的好处结合在一起，并可适应上下文和目标应用程序。特别是，这些陈述的多语种性质使人们能够有效地利用以不同语文提供的知识和资源。该项目还探索了这些词义表征以及相应的单语和跨语言知识源在几种自然语言处理任务中所起的作用，包括词汇替代、单词和文本翻译以及文本到文本的语义相似性。该项目的另一个目的是将自然语言处理整合到教育应用中，并探索使用词义解释模型来为英语作为第二语言(ESL)和英语作为外语(EFL)的学生构建一个理解辅助工具。该教育计划还通过大学外展计划和多语言计算语言学的新课程，提高了大学生、本科生和研究生对多语言自然语言处理研究的认识，并通过国际合作增加了学生接触国际经验的机会。