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Detecting Text Formality: A Study of Text Classification Approaches ...
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Taxonomy Enrichment with Text and Graph Vector Representations ...
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Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates ...
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Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint ...
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RUSSE'2020: Findings of the First Taxonomy Enrichment Task for the Russian language ...
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Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
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Studying Taxonomy Enrichment on Diachronic WordNet Versions ...
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A Comparative Study of Lexical Substitution Approaches based on Neural Language Models ...
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Making Fast Graph-based Algorithms with Graph Metric Embeddings ...
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On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
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Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ...
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Hypernyms extracted from a large text corpus using Hearst lexical-syntactic patterns ...
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Hypernyms extracted from a large text corpus using Hearst lexical-syntactic patterns ...
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Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings
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Watset: Local-global graph clustering with applications in sense and frame induction
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RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language ...
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How much does a word weigh? Weighting word embeddings for word sense induction ...
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