TIME
2024年12月20日（周五） 15:30 -16:30
VENUE
信息管理与工程学院102报告厅
SPEAKER
Dr. Jyrki Nummenmaa is a professor of computer science at Tampere University, Finland，where he leads the Tampere natural language processing (NLP) group. He obtained a MSc in mathematics in 1989 and a PhD in Computer Science in 1995, both at the University of Tampere. He has 3,5 year work experience of the software industry, and he has worked as a professor at the University of Tampere since 1997.He has over 100 peer-reviewed scientific publications, including both rule-based / grammatical NLP solutions, and approaches based on machine learning. He has done research on natural language processing, data bases, algorithms, and data mining. He was former member of the university's IT management steering committee and has participated in various AI based projects and database-related information systems development projects. He has served various conferences and journals as a reviewer, PC member or program chair.
TITLE
Tutorial on grammatical question-answering from RDF data
ABSTRACT
In this tutorial Professor Jyrki Nummenmaa introduces the problem of answering complex natural language questions from RDF data. He start with an introduction and a discussion of the LC-QuAD question set and RDF data. He discusses the reason why we use RDF for question answering, and pointing out that currently there are lot of RDF data, for instance, Wikidata is stored as RDF data. Then he introduces the basics of grammatical information and grammatical parsing, followed by how to analyze text grammatically and how we can design applications that utilize the grammatical information. Then, he introduces a grammar-based solution to answer complex natural language questions from the LC-QuAD set using grammatical parsing. Then he analyzes and compares different approaches including both grammatical and LLM based solutions. Finally, he discuss the general benefits of using grammars for question-answering applications.
编审：王英林 江波
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