Proceedings of the 29th ACM International Conference on Information &Amp; Knowledge Management 2020
DOI: 10.1145/3340531.3412180
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"Keep it Simple, Lazy" -- MetaLazy: A New MetaStrategy for Lazy Text Classification

Abstract: Recent advances in text-related tasks on the Web, such as text (topic) classification and sentiment analysis, have been made possible by exploiting mostly the "rule of more": more data (massive amounts) more computing power, more complex solutions. We propose a shift in the paradigm to do "more with less" by focusing, at maximum extent, just on the task at hand (e.g., classify a single test instance). Accordingly, we propose MetaLazy, a new supervised lazy text classification meta-strategy that greatly extends… Show more

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Cited by 6 publications
(3 citation statements)
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“…This Master Thesis also directly contributed in a second IP&M paper [Cunha et al 2021], covering a comprehensive comparative study of cost-effectiveness of neural and non-neural approaches and representations for ATC. Our Master Thesis also contributes to other papers in important conferences, such as WWW [Cunha et al 2018], CIKM [Viegas et al 2018, Mendes et al 2020, WSDM [Viegas et al 2019] and ACL [Viegas et al 2020].…”
Section: Contributionsmentioning
confidence: 91%
“…This Master Thesis also directly contributed in a second IP&M paper [Cunha et al 2021], covering a comprehensive comparative study of cost-effectiveness of neural and non-neural approaches and representations for ATC. Our Master Thesis also contributes to other papers in important conferences, such as WWW [Cunha et al 2018], CIKM [Viegas et al 2018, Mendes et al 2020, WSDM [Viegas et al 2019] and ACL [Viegas et al 2020].…”
Section: Contributionsmentioning
confidence: 91%
“…7. The ways of dealing with complex sentences (many adverbs, adjectives) is still a challenge (Mendes et al, 2020). 8.…”
Section: Open Challenges and Proposed Systemmentioning
confidence: 99%
“…O recente aumento nos dados armazenados digitalmente estimulou o desenvolvimento de métodos para organizar e extrair conhecimento relevante desse grande volume de dados. A ADC é um desses métodos, sendo considerada uma das tarefas mais relevantes e desafiadoras no contexto de recuperação de informações [Mendes 2020]. Por exemplo, se considerarmos mensagens de e-mail como documentos, é comum querermos classificar novas mensagens como spam ou não spam.…”
Section: Introductionunclassified