Papers Taxonomy Expansion
“Taxonomy Expansion” 태그가 달린 논문 25편 · 필터 해제
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion
Taxonomy Expansion, which models complex concepts and their relations, can be formulated as a set representation learning task. The generalization of set, fuzzy set, incorporates uncertainty and measures the information …
Representation LearningTaxonomy ExpansionRank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion
Taxonomies are hierarchical knowledge graphs crucial for recommendation systems, and web applications. As data grows, expanding taxonomies is essential, but existing methods face key challenges: (1) discriminative models…
Knowledge GraphsRecommendation SystemsTaxonomy ExpansionQuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
A taxonomy is a hierarchical graph containing knowledge to provide valuable insights for various web applications. Online retail organizations like Microsoft and Amazon utilize taxonomies to improve product recommendatio…
Taxonomy ExpansionWord EmbeddingsCodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
Taxonomies play a crucial role in various applications by providing a structural representation of knowledge. The task of taxonomy expansion involves integrating emerging concepts into existing taxonomies by identifying …
Taxonomy ExpansionOntology Completion with Natural Language Inference and Concept Embeddings: An Analysis
We consider the problem of finding plausible knowledge that is missing from a given ontology, as a generalisation of the well-studied taxonomy expansion task. One line of work treats this task as a Natural Language Infer…
Natural Language InferenceTaxonomy ExpansionFLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models
Taxonomies represent an arborescence hierarchical structure that establishes relationships among entities to convey knowledge within a specific domain. Each edge in the taxonomy signifies a hypernym-hyponym relationship.…
Recommendation SystemsTaxonomy ExpansionWorld KnowledgeA Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
Entity set expansion, taxonomy expansion, and seed-guided taxonomy construction are three representative tasks that can be applied to automatically populate an existing taxonomy with emerging concepts. Previous studies v…
Language ModelingLanguage ModellingLarge Language ModelTaxonomy ExpansionTowards Visual Taxonomy Expansion
Taxonomy expansion task is essential in organizing the ever-increasing volume of new concepts into existing taxonomies. Most existing methods focus exclusively on using textual semantics, leading to an inability to gener…
Taxonomy ExpansionTaxonomy Expansion for Named Entity Recognition
Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize additional entity types. A simple approach is to…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+1GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation
Taxonomy is formulated as directed acyclic concepts graphs or trees that support many downstream tasks. Many new coming concepts need to be added to an existing taxonomy. The traditional taxonomy expansion task aims only…
Generative Adversarial NetworkTaxonomy ExpansionDNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
Taxonomy expansion is the process of incorporating a large number of additional nodes (i.e., "queries") into an existing taxonomy (i.e., "seed"), with the most important step being the selection of appropriate positions …
Taxonomy ExpansionTopic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation
Topic taxonomies display hierarchical topic structures of a text corpus and provide topical knowledge to enhance various NLP applications. To dynamically incorporate new topic information, several recent studies have tri…
RelationTaxonomy ExpansionFlexible Job Classification with Zero-Shot Learning
Using a taxonomy to organize information requires classifying objects (documents, images, etc) with appropriate taxonomic classes. The flexible nature of zero-shot learning is appealing for this task because it allows cl…
ClassificationDocument ClassificationJob classificationRecommendation Systems+2TEAM: A multitask learning based Taxonomy Expansion approach for Attach and Merge
Taxonomy expansion is a crucial task. Most of Automatic expansion of taxonomy are of two types, attach and merge. In a taxonomy like WordNet, both merge and attach are integral parts of the expansion operations but major…
Taxonomy ExpansionLearning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision
Taxonomies have been widely used in various domains to underpin numerous applications. Specially, product taxonomies serve an essential role in the e-commerce domain for the recommendation, browsing, and query understand…
Contrastive LearningGraph Neural NetworkTaxonomy ExpansionTEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths
As an essential form of knowledge representation, taxonomies are widely used in various downstream natural language processing tasks. However, with the continuously rising of new concepts, many existing taxonomies are un…
PositionTaxonomy ExpansionHyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
Taxonomies are valuable resources for many applications, but the limited coverage due to the expensive manual curation process hinders their general applicability. Prior works attempt to automatically expand existing tax…
Graph Neural NetworkRepresentation LearningTaxonomy ExpansionEnhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Automatic construction of a taxonomy supports many applications in e-commerce, web search, and question answering. Existing taxonomy expansion or completion methods assume that new concepts have been accurately extracted…
Knowledge GraphsTaxonomy ExpansionWho Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
Taxonomies have been widely used in various machine learning and text mining systems to organize knowledge and facilitate downstream tasks. One critical challenge is that, as data and business scope grow in real applicat…
Taxonomy ExpansionEnquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
Taxonomy is a hierarchically structured knowledge graph that plays a crucial role in machine intelligence. The taxonomy expansion task aims to find a position for a new term in an existing taxonomy to capture the emergin…
PositionTaxonomy Expansion