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

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Datasets

Latest papers without code

The Effectiveness of Simple Hybrid Systems for Hypernym Discovery

ACL 2019

Hypernymy modeling has largely been separated according to two paradigms, pattern-based methods and distributional methods.

HYPERNYM DISCOVERY

Document Structure Measure for Hypernym discovery

30 Nov 2018

Hypernym discovery is the problem of finding terms that have is-a relationship with a given term.

HYPERNYM DISCOVERY

Learning Scalar Adjective Intensity from Paraphrases

EMNLP 2018

Adjectives like {``}warm{''}, {``}hot{''}, and {``}scalding{''} all describe temperature but differ in intensity.

HYPERNYM DISCOVERY QUESTION ANSWERING SENTIMENT ANALYSIS

CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery

SEMEVAL 2018

This report describes the system developed by the CRIM team for the hypernym discovery task at SemEval 2018.

HYPERNYM DISCOVERY RELATION EXTRACTION

Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies

SEMEVAL 2018

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.

HYPERNYM DISCOVERY