Refining the Distributional Inclusion Hypothesis for Unsupervised Hypernym Identification
Several unsupervised methods for hypernym detection have been investigated in distributional semantics. Here we present a new approach based on a smoothed version of the distributional inclusion hypothesis. The new method is able to improve hypernym detection after testing on the BLESS dataset.
保存先:
| 出版年: | URI:https://journals.openedition.org/ijcol, |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Article ou chapitre numérique |
| 言語: | Anglais |
| 出版事項: |
IJCoL
2020
|
| オンライン･アクセス: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |