Browse State-of-the-Art › Hypernym Discovery
Hypernym Discovery
8 papers with code · 3 benchmarks · 1 dataset archive 2025-07-28
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”.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| General (8 rows) | CRIM | CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery | code | — | Compare |
| Medical domain (8 rows) | CRIM | CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery | code | — | Compare |
| Music domain (7 rows) | CRIM | CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (33 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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3 Apr 2018 3 repositories listedLearning graph representations via low-dimensional embeddings that preserve relevant network properties is an important class of problems in machine learning.
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8 Feb 2025 1 repository listedCompared to existing domain LLMs based on newly collected large-scale domain-specific corpora, our OntoTune, which relies on the existing, long-term developed ontology and LLM itself, significantly reduces data…
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14 Mar 2024 1 repository listedIt achieves 11 SotA results, 4 top-2 results out of 16 tasks for the Taxonomy Enrichment, Hypernym Discovery, Taxonomy Construction, and Lexical Entailment tasks.
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6 Oct 2022 1 repository listedGrasping the commonsense properties of everyday concepts is an important prerequisite to language understanding.
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14 Dec 2021 1 repository listedPredicting lexical-semantic relations between word pairs has successfully been accomplished by pre-trained neural language models.
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12 Dec 2020 1 repository listedWe 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.
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1 Jun 2018 1 repository listedThis report describes the system developed by the CRIM team for the hypernym discovery task at SemEval 2018.
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14 Dec 2016 1 repository listedThe 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.
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