U.S.-France Cooperative Research: Organization of the Lexicon and Semantic Operation Based on Active Constraints

这个为期三年的奖项支持美法合作研究， 布兰代斯的詹姆斯·普斯特约夫斯基 大学和保罗·萨巴蒂尔大学的帕特里克·圣迪齐尔 在图卢兹。 该项目致力于语义学的研究， 自然语言处理中的词义。 目标是 联合收割机的形式和理论工作的表示词 知识，然后定义计算框架， 表达这种知识。 普斯特约夫斯基博士带来了 词汇语义学理论的合作经验， 自然语言表示 他最近的研究提供了一个 词汇知识研究的当代框架。 这 与法国集团的创新方法相辅相成， 应用逻辑程序设计于自然语言处理 问题 词汇语义学是自然语言学中最困难的领域之一， 语言处理，需要有效的计算工具。这 该项目通过将互补的 美国和法国调查人员的调查。 结果将 提高我们的计算机语言学知识，并有助于 解决这一领域的若干实际问题： 信息检索，人机界面， 机器翻译、词典设计和电子文档 传播。

This three-year award supports U.S-France cooperative research in computational linguistics between James Pustejovsky of Brandeis University and Patrick Saint Dizier of the University Paul Sabatier in Toulouse. The project addresses research in the semantics of word meaning in natural language processing. The objective is to combine formal and theoretical work on the representation of word knowledge and then to define a computational framework for expressing this knowledge. Dr. Pustejovsky brings to this collaboration experience in the theory of lexical semantics and natural language representation. His recent research has provided a contemporary framework for research on lexical knowledge. This is complemented by the French group's innovative methodology for applying logic programming to natural language processing problems. Lexical semantics, one of the most difficult areas in natural language processing, requires effective computational tools. This project addresses that problem by combining the complementary approaches of the U.S. and French investigators. The results will advance our knowledge of computer linguistics and contribute to the resolution of several practical problems in this field: information retrieval, interface between humans and computers, machine translation, dictionary design and electronic document dissemination.