John B. Lowe’s scientific contributions

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Publications (2)


The Berkeley FrameNet Project
  • Article

May 2002

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344 Reads

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1,788 Citations

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Charles J. Fillmore

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John B. Lowe

FrameNet is a three-year NSF-supported project in corpus-based computational lexicography, now in its second year (NSF IRI-9618838, "Tools for Lexicon Building"). The project's key features are (a) a commitment to corpus evidence for semantic and syntactic generalizations, and (b) the representation of the valences of its target words (mostly nouns, adjectives, and verbs) in which the semantic portion makes use of frame semantics. The resulting database will contain (a) descriptions of the semantic frames underlying the meanings of the words described, and (b) the valence representation (semantic and syntactic) of several thousand words and phrases, each accompanied by (c) a repre- sentative collection of annotated corpus attestations, which jointly exemplify the observed linkings between "frame elements" and their syntactic realizations (e.g. grammatical function, phrase type, and other syntactic traits). This report will present the project's goals and workflow, and information about the computational tools that have been adapted or created in-house for this work.


A frame-semantic approach to semantic annotation

January 1997

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63 Reads

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106 Citations

Abstract The number and arrangement of semantic tags must be constrained, lest the size and complexity,of the tagging sets (tagsets) used for semantic annotation become unwieldy,both,for humans,and,computers. The description of lexical predicates within the framework,of frame semantics,provides a natural method,for selecting and structuring appropriate,tagsets. 1,Motivation

Citations (2)


... Human beings think largely by using mental operations they already possess to work on conceptual arrays they already know. Some of their knowledge is organized into mental bundles that we call "mental frames," "cognitive frames," or just "frames" (Fillmore 1968(Fillmore , 1976(Fillmore , 1977a(Fillmore , 1977b(Fillmore , 1982(Fillmore , 1985(Fillmore , 2008(Fillmore , 2013Fillmore & Atkins 1992, 1994Fillmore, Kay & O'Connor 1988;Lowe et al. 1997). Some of these frames are so important to communication that we expect every mature native speaker of a particular language to have mastered them, or at least a version of them. ...

Reference:

Copilots for Linguists: AI, Constructions, and Frames
A frame-semantic approach to semantic annotation
  • Citing Conference Paper
  • January 1997

... The implementation achieves 3.8× faster processing than BART [6] on CNN/DailyMail articles, with 82% ROUGE-L retention. Experimental validation on 331,547 concept embeddings reveals distinct clustering patterns (Section II-H) that correlate with human-annotated semantic categories from the Framenet corpus [7]. ...

The Berkeley FrameNet Project
  • Citing Article
  • May 2002