Difference between revisions of "Tracking the Lexical Zeitgeist with Wordnet and Wikipedia"
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+ | | title = Tracking the Lexical Zeitgeist with Wordnet and Wikipedia | ||
+ | | date = 2006 | ||
+ | | authors = [[Tony Veale]] | ||
+ | | link = https://dl.acm.org/citation.cfm?id=1567016.1567034 | ||
+ | }} | ||
'''Tracking the Lexical Zeitgeist with Wordnet and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2006, written by [[Tony Veale]]. | '''Tracking the Lexical Zeitgeist with Wordnet and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2006, written by [[Tony Veale]]. | ||
== Overview == | == Overview == | ||
Most new words, or neologisms, bubble beneath the surface of widespread usage for some time, perhaps even years, before gaining acceptance in conventional print dictionaries [1]. A shorter, yet still significant, delay is also evident in the life-cycle of NLP-oriented lexical resources like [[WordNet]] [2]. A more topical lexical resource is [[Wikipedia]] [3], an [[open-source]] community-maintained encyclopedia whose headwords reflect the many new words that gain recognition in a particular linguistic sub-culture. In this paper authors describe the principles behind Zeitgeist, a system for dynamic lexicon growth that harvests and semantically analyses new lexical forms from Wikipedia, to automatically enrich WordNet as these new word forms are minted. Zeitgeist demonstrates good results for composite words that exhibit a complex morphemic structure, such as portmanteau words and formal blends [4, 5]. | Most new words, or neologisms, bubble beneath the surface of widespread usage for some time, perhaps even years, before gaining acceptance in conventional print dictionaries [1]. A shorter, yet still significant, delay is also evident in the life-cycle of NLP-oriented lexical resources like [[WordNet]] [2]. A more topical lexical resource is [[Wikipedia]] [3], an [[open-source]] community-maintained encyclopedia whose headwords reflect the many new words that gain recognition in a particular linguistic sub-culture. In this paper authors describe the principles behind Zeitgeist, a system for dynamic lexicon growth that harvests and semantically analyses new lexical forms from Wikipedia, to automatically enrich WordNet as these new word forms are minted. Zeitgeist demonstrates good results for composite words that exhibit a complex morphemic structure, such as portmanteau words and formal blends [4, 5]. |
Revision as of 20:05, 12 October 2019
Authors | Tony Veale |
---|---|
Publication date | 2006 |
Links | Original |
Tracking the Lexical Zeitgeist with Wordnet and Wikipedia - scientific work related to Wikipedia quality published in 2006, written by Tony Veale.
Overview
Most new words, or neologisms, bubble beneath the surface of widespread usage for some time, perhaps even years, before gaining acceptance in conventional print dictionaries [1]. A shorter, yet still significant, delay is also evident in the life-cycle of NLP-oriented lexical resources like WordNet [2]. A more topical lexical resource is Wikipedia [3], an open-source community-maintained encyclopedia whose headwords reflect the many new words that gain recognition in a particular linguistic sub-culture. In this paper authors describe the principles behind Zeitgeist, a system for dynamic lexicon growth that harvests and semantically analyses new lexical forms from Wikipedia, to automatically enrich WordNet as these new word forms are minted. Zeitgeist demonstrates good results for composite words that exhibit a complex morphemic structure, such as portmanteau words and formal blends [4, 5].