报告： Towards a Form-independent Semantics for NLP

　　报告人：Mark Steedman, School of Informatics University of Edinburgh

　　时 间：2018年11月12日（星期一）上午：10:00-11:30

　　地 点：软件所5号楼3层334报告厅

　　报告摘要：

　　The central problem in open-domain question-answering from text is

　　that the linguistic form in which a question is asked is rarely the

　　same as the form of the text that answers it. I'll report progress on

　　a project that aims to define a form- and language- independent meaning

　　representation by building entailment graphs over relations

　　automatically extracted from large amounts of text using wide-coverage

　　parsers.

　　报告人简介：

　　Mark Steedman is Professor of Cognitive Science in the School of Informatics at the University of Edinburgh, to which he moved in 1998 from the University of Pennsylvania, where he taught for many years as Professor in the Department of Computer and Information Science. He is a Fellow of the British Academy, the Royal Society of Edinburgh, the American Association for Artificial Intelligence (AAAI), the Association for Computational Linguistics (ACL), and the Cognitive Science Society (CSS), and a Member of the European Academy. In 2018, he was the recipient of the ACL Lifetime Achievement Award.

　　His research covers a wide range of problems in computational linguistics, natural language processing, artificial intelligence, and cognitive science, including syntactic and semantic theory, and parsing and interpretation of natural language text and discourse, including spoken intonation, by humans and by machine. Much of his current research uses Combinatory Categorial Grammar (CCG) as a formalism to address problems in wide-coverage parsing for robust semantic interpretation and natural language inference, and the problem of inducing and generalizing semantic parsers, bo