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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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Abstract:
Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a taxonomic backbone that allows the arrangement and structuring of various concepts in accordance with the hypo-hypernym ("class-subclass") relationship. With the rapid growth of lexical resources for specific domains, the problem of automatic extension of the existing knowledge bases with new words is becoming more and more widespread. In this paper, we address the problem of taxonomy enrichment which aims at adding new words to the existing taxonomy. We present a new method that allows achieving high results on this task with little effort. It uses the resources which exist for the majority of languages, making the method universal. We extend our method by incorporating deep representations of graph structures like node2vec, Poincaré embeddings, GCN etc. that have recently demonstrated promising results on various NLP tasks. Furthermore, combining these representations with word embeddings allows us to beat the state of the art. We ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2201.08598 https://arxiv.org/abs/2201.08598
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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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