Семенные слова

material ID: seedwords

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This paper describes a bootstrapping al- gorithm called Basilisk that learns high- quality semantic lexicons for multiple cate- gories. Basilisk begins with an unannotated corpus and seed words for each …...

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We propose a method for extracting se- mantic orientations of words: desirable or undesirable. Regarding semantic ori- entations as spins of electrons, we use the mean field approximation to compute …...

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Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages

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This paper proposes a new bootstrapping approach to unsupervised part-of-speech induction. In comparison to previous bootstrapping algorithms developed for this problem, our approach aims to improve the quality of the …...

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A Corpus Factory for Many Languages

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LIME: Weakly-Supervised Text Classification without Seeds

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