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method ID: bootstrappingmethods

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Trained Named Entity Recognition using Distributional Clusters

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

This work applies boosted wrapper induction (BWI), a machine learning algorithm for informa- tion extraction from semi-structured documents, to the problem of named entity recognition. The de- fault feature set …...

44948

Chinese WordNet Domains: Bootstrapping Chinese WordNet with Semantic Domain Labels

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

. We bootstrapped Chinese WordNet with semantic domain labels of WordNet Domains for constructing a language resource called Chinese WordNet Domains. The bootstrapping methods work from three aspects: 1) Princeton …...

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Filtered Ranking for Bootstrapping in Event Extraction

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Publication: TIPSTER (2010)

DOI: nan

Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping methods used for event extraction: the document-centric …...

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Ensemble-based Semantic Lexicon Induction for Semantic Tagging

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

We present an ensemble-based framework for semantic lexicon induction that incorpo- rates three diverse approaches for semantic class identification. Our architecture brings together previous bootstrapping methods for pattern-based semantic lexicon …...

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Out-of-Domain Discourse Dependency Parsing via Bootstrapping: An Empirical Analysis on Its Effectiveness and Limitation

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Publication: TIPSTER (2022)

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AbstractDiscourse parsing has been studied for decades. However, it still remains challenging to utilize discourse parsing for real-world applications because the parsing accuracy degrades significantly on out-of-domain text. In this …...

26783