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Karen A. Lemone

dblp:68/3100 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › sequence algorithms › string algorithms › sequence comparison
sequence similarity
0.011982
Similarity Measures Between Strings Extended to Sets of Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1982
Algorithms and data structures › similarity search
set similarity
0.011982
Similarity Measures Between Strings Extended to Sets of Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1982
Algorithms and data structures › sequence algorithms
string algorithms
0.011982
Similarity Measures Between Strings Extended to Sets of Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1982

Methods — techniques the papers use, named apart from their topics

similarity measures · 0.0
YearPublicationVenuePosition
1987 A multi-purpose language processing laboratory
abstract
This paper describes the design and implementation of a tool for creating language processors, in particular, translator generators. The purpose of this tool is to allow the fast implementation of (non-production quality) translators for any language, however exotic, for which a grammar can be written, and to generate compiler phases with “hooks” which show the compiling process in action for use in compiler construction courses. The emphasis is on a user-friendly metalanguage which is consistent for the various phases of the parameterized tool. Use of the tool in a graduate compiler construction course revealed the strengths of this metalanguage as well as providing a test site for other improvements and further development of the tool.
Karen A. Lemone
SIGCSE1
1982 Similarity Measures Between Strings Extended to Sets of Strings
abstract
Similarity measures between strings (finite-length sequences of symbols) are extended to apply to sets of strings in an intuitive way which also preserves some of the desired properties of the initial similarity measure. Two quite different measures are used in the examples: the first for applications where numerical computation of pointwise similarity is needed; the second for applications which depend more heavily on substring similarity. It is presumed throughout that alphabets may be nondenumerable; in particular, the unit interval [0, 1] is used as the alphabet in the examples.
Karen A. Lemone
IEEE Trans. Pattern Anal. Mach. Intell.1