J
James Mayfield
Researcher at Johns Hopkins University
Publications - Â 124
Citations - Â 5722
James Mayfield is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Knowledge base & Computer science. The author has an hindex of 31, co-authored 111 publications receiving 5532 citations. Previous affiliations of James Mayfield include Johns Hopkins University Applied Physics Laboratory & University of Baltimore.
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KQML as an agent communication language
TL;DR: The design of and experimentation with the Knowledge Query and Manipulation Language (KQML), a new language and protocol for exchanging information and knowledge, which is aimed at developing techniques and methodology for building large-scale knowledge bases which are sharable and reusable.
Proceedings Article
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
TL;DR: Three semantic text similarity systems developed for the *SEM 2013 STS shared task used a simple term alignment algorithm augmented with penalty terms, and two used support vector regression models to combine larger sets of features.
Journal ArticleDOI
Character N -Gram Tokenization for European Language Text Retrieval
Paul McNamee,James Mayfield +1 more
TL;DR: It is demonstrated empirically how overlapping character n-gram tokenization can provide retrieval accuracy that rivals the best current language-specific approaches for European languages and is a good choice for those languages, and the increased storage and time requirements of the technique.
Book ChapterDOI
Evaluation of KQML as an agent communication language
TL;DR: This chapter discusses the desirable features of languages and protocols for communication among intelligent information agents and KQML is described and evaluated as an agent communication language relative to the desiderata.
Book ChapterDOI
The berkeley UNIX consultant project
TL;DR: UC (UNIX Consultant) is an intelligent, natural language interface that allows naive users to learn about the UNIX2 operating system and makes use of knowledge represented in a knowledge representation system called KODIAK.