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We propose a recurrent mapping model that utilizes a shared mapping unit to model the inherent hierarchical dependencies between hypernyms. To exploit the hyponym-type information, we use an independent projection matrix for each type to map hyponyms of different types to hypernym space. See more
In this section, we introduce the proposed Recur-rent Mapping Model (RMM). It consists of three components: a type enhanced representation mod-ule that maps the hyponym … See more
To more precisely evaluate RMM and to compre-hensively analyze the contribution of each com-ponent of our model, we conduct an additional experiment of ablation studies. Specifically, this experiment involves three com-ponents, ResNet connection … See more
After obtaining the multi-hop representations of the given hyponym term, we obtain a final representa-tion via letting multi-hop representations attend to the candidate … See more
Without Separating Query Types Before multi-hop mapping, RMM model exploits two different learnable projection matrices for query types of entity and concept to transform original embedding to “is-a” embedding. In this ablation experiment, we unify these two … See more
[2005.01854] Data Augmentation for Hypernymy Detection
WEBMay 4, 2020 · Using an evaluation across 3 different datasets for hypernymy detection and 2 different vector spaces, we demonstrate that both of the proposed automatic data …
- Author: Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir
- Cite as: arXiv:2005.01854 [cs.CL]
- Publish Year: 2021
- Comments: to appear at EACL 2021
Fully-Unsupervised Embeddings-Based Hypernym …
WEBMay 18, 2020 · This paper we addresses Hypernym Discovery, the NLP task that aims at finding valid hypernyms from words in a given text, …
- Author: Maurizio Atzori, Simone Balloccu
- Estimated Reading Time: 11 mins
- Publish Year: 2020
- Studies of hypernym for computation
A Large DataBase of Hypernymy Relations Extracted …
WEB4 days ago · Hypernymy relations (those where an hyponym term shares a “isa” relationship with his hypernym) play a key role for many Natural Language Processing (NLP) tasks, e.g. ontology learning, automatically …
[2204.02058] HyperBox: A Supervised Approach for Hypernym …
WEBApr 5, 2022 · We present a novel model HyperBox to learn box embeddings for hypernym discovery. Given an input term, HyperBox retrieves its suitable hypernym from a target …
SemEval-2018 Task 9: Hypernym Discovery - ACL Anthology
WEB4 days ago · This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a …
Hypert: hypernymy-aware BERT with Hearst pattern exploitation …
WEBSep 12, 2023 · Considering the hypernym relationship to be a linguistic domain, we introduce Hypert, which is further pretrained using masked language modeling with …
From Syntactic Structure to Semantic Relationship: Hypernym …
WEBThe hyponym-hypernym relation is an essential element in the semantic network. Identifying the hypernym from a definition is an important task in natural language processing and …
[1909.01584] Discovering Hypernymy in Text-Rich Heterogeneous ...
WEBSep 4, 2019 · In this work, we propose to discover hypernymy in text-rich HINs, which can introduce additional high-quality signals. We develop a new framework, named …
WEBHypernymy, or the is-a relation, is an important lexical relation for NLP tasks. However, the extent to which word embeddings encode hypernymy has not been explored as …
Hearst Patterns Revisited: Automatic Hypernym Detection from …
WEB4 days ago · In this paper, we study the performance of both approaches on several hypernymy tasks and find that simple pattern-based methods consistently outperform …
Learning syntactic patterns for automatic hypernym discovery
WEBDec 1, 2004 · Motivated by the problem of automatically constructing and extending such taxonomies, in this paper we present a new algorithm for automatically learning …
DHPs: Dependency Hearst’s Patterns for Hypernym Relation …
WEBHearst’s patterns are lexico-syntactic patterns that have been extensively used to extract hypernym relations from texts. They are defined as regular expressions based on lexical …
Definition and Examples of Hypernyms in English - ThoughtCo
WEBJul 3, 2019 · In linguistics and lexicography, a hypernym is a word whose meaning includes the meanings of other words. For instance, flower is a hypernym of daisy and rose. …
Hypercomputation - Wikipedia
WEBHypercomputation or super-Turing computation is a set of hypothetical models of computation that can provide outputs that are not Turing-computable. For example, a …
Data Augmentation for Hypernymy Detection - ACL Anthology
WEB4 days ago · The automatic detection of hypernymy relationships represents a challenging problem in NLP. The successful application of state-of-the-art supervised approaches …
COMPUTATION Synonyms: 23 Similar Words - Merriam-Webster
WEBSynonyms for COMPUTATION: calculation, math, arithmetic, mathematics, numbers, calculus, figures, figuring, estimation, reckoning.
15 Synonyms & Antonyms for COMPUTATION - Thesaurus.com
WEBFind 15 different ways to say COMPUTATION, along with antonyms, related words, and example sentences at Thesaurus.com.
Analyzing BERT ’s Knowledge of Hypernymy via Prompting
WEBSep 15, 2024 · In this paper, we approach this question by examining BERT’s knowledge of lexical semantic relations. We focus on hypernymy, the “is-a” relation that relates a word …
[1707.07273] Hierarchical Embeddings for Hypernymy Detection …
WEBJul 23, 2017 · We present a novel neural model HyperVec to learn hierarchical embeddings for hypernymy detection and directionality. While previous embeddings have shown …
Hierarchical Embeddings for Hypernymy Detection and …
WEB4 days ago · We present a novel neural model HyperVec to learn hierarchical embeddings for hypernymy detection and directionality. While previous embeddings have shown …
[2401.04515] Exploring Prompt-Based Methods for Zero-Shot …
WEBJan 9, 2024 · This article investigates a zero-shot approach to hypernymy prediction using large language models (LLMs). The study employs a method based on text probability …
Learning Semantic Text Similarity to rank Hypernyms of Financial …
WEBMar 20, 2023 · Getting a basic idea about a term becomes easy when it is explained with the help of the broad category to which it belongs. This broad category is referred to as …
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