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Contextualized, Metadata-Empowered, Coarse-to-Fine Weakly-Supervised Text Classification
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Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data ...
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“Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models ...
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Weakly Supervised Named Entity Tagging with Learnable Logical Rules ...
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Weakly Supervised Named Entity Tagging with Learnable Logical Rules ...
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Constructing and mining structured heterogeneous information networks from massive text corpora
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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling ...
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Empower Sequence Labeling with Task-Aware Neural Language Model ...
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13 |
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis
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