Hypernym Discovery Edit Task
Natural Language Processing • Taxonomy Learning
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
Greatest papers with code
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Learning graph representations via low-dimensional embeddings that preserve relevant network properties is an important class of problems in machine learning.
Ranked #1 on
Link Prediction
on WordNet
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
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.
Ranked #7 on
Hypernym Discovery
on Music domain
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings
• yeraidm/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
CogALex-VI Shared Task: Transrelation - A Robust Multilingual Language Model for Multilingual Relation Identification
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