About

Given a corpus and a target term (hyponym), the task of hypernym discovery consists of extracting a set of its most appropriate hypernyms from the corpus. For example, for the input word “dog”, some valid hypernyms would be “canine”, “mammal” or “animal”.

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Latest papers with code

CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification

12 Dec 2020Text2TCS/Transrelation

We describe our submission to the CogALex-VI shared task on the identification of multilingual paradigmatic relations building on XLM-RoBERTa (XLM-R), a robustly optimized and multilingual BERT model.

HYPERNYM DISCOVERY LANGUAGE MODELLING MULTILINGUAL TEXT CLASSIFICATION RELATION CLASSIFICATION

1
12 Dec 2020

Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings

16 Oct 2019yeraidm/meemi

While monolingual word embeddings encode information about words in the context of a particular language, cross-lingual embeddings define a multilingual space where word embeddings from two or more languages are integrated together.

CROSS-LINGUAL NATURAL LANGUAGE INFERENCE HYPERNYM DISCOVERY WORD EMBEDDINGS

19
16 Oct 2019

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

ICML 2018 dalab/hyperbolic_cones

Learning graph representations via low-dimensional embeddings that preserve relevant network properties is an important class of problems in machine learning.

GRAPH EMBEDDING HYPERNYM DISCOVERY LINK PREDICTION

96
03 Apr 2018

Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection

EACL 2017 vered1986/UnsupervisedHypernymy

The fundamental role of hypernymy in NLP has motivated the development of many methods for the automatic identification of this relation, most of which rely on word distribution.

HYPERNYM DISCOVERY

39
14 Dec 2016