Hypernym Discovery
7 papers with code • 3 benchmarks • 1 datasets
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
These leaderboards are used to track progress in Hypernym Discovery
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SemEval-2018 Task-9
Latest papers with no code
Probing Pretrained Language Models with Hierarchy Properties
In this work, we propose a task-agnostic evaluation method able to evaluate to what extent PLMs can capture complex taxonomy relations, such as ancestors and siblings.
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings
For this task, we use the dataset published for SemEval 2018 Shared Task on Hypernym Discovery.
Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems.
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings
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.
The Effectiveness of Simple Hybrid Systems for Hypernym Discovery
Hypernymy modeling has largely been separated according to two paradigms, pattern-based methods and distributional methods.
Document Structure Measure for Hypernym discovery
Hypernym discovery is the problem of finding terms that have is-a relationship with a given term.
Learning Scalar Adjective Intensity from Paraphrases
Adjectives like {``}warm{''}, {``}hot{''}, and {``}scalding{''} all describe temperature but differ in intensity.
SemEval-2018 Task 9: Hypernym Discovery
This paper describes the SemEval 2018 Shared Task on Hypernym Discovery.
Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies
This paper presents the participation of Apollo{'}s team in the SemEval-2018 Task 9 {``}Hypernym Discovery{''}, Subtask 1: {``}General-Purpose Hypernym Discovery{''}, which tries to produce a ranked list of hypernyms for a specific term.
NLP\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach
Hypernym discovery aims to discover the hypernym word sets given a hyponym word and proper corpus.
