Hyperbolic Embeddings

method ID: hyperbolicembeddings

Related Papers

Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe consider the task of inferring “is-a” relationships from large text corpora. For this purpose, we propose a new method combining hyperbolic embeddings and Hearst patterns. This approach allows us …...

39648

Knowledge Association with Hyperbolic Knowledge Graph Embeddings

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractCapturing associations for knowledge graphs (KGs) through entity alignment, entity type inference and other related tasks benefits NLP applications with comprehensive knowledge representations. Recent related methods built on Euclidean embeddings …...

30152

Extracting Event Temporal Relations via Hyperbolic Geometry

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractDetecting events and their evolution through time is a crucial task in natural language understanding. Recent neural approaches to event temporal relation extraction typically map events to embeddings in the …...

31245

Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe consider the problem of multi-label classification, where the labels lie on a hierarchy. However, unlike most existing works in hierarchical multi-label classification, we do not assume that the label-hierarchy …...

42570

Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

In the process of numerically modeling natural languages, developing language embeddings is a vital step. However, it is challenging to develop functional embeddings for resource- poor languages such as Sinhala, …...

28806

Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractFine-grained emotion classification (FEC) is a challenging task. Specifically, FEC needs to handle subtle nuance between labels, which can be complex and confusing. Most existing models only address text classification …...

38074