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Taxonomy Learning
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Taxonomy learning is the task of hierarchically classifying concepts in an automatic manner from text corpora. The process of building taxonomies is usually divided into two main steps: (1) extracting hypernyms for concepts, which may constitute a field of research in itself (see Hypernym Discovery below) and (2) refining the structure into a taxonomy.
Description from NLP Progress
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/QingkaiZeng/GenTaxo
공식 코드Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
https://github.com/adacheng/product_taxonomy_expansion
공식 코드Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision
https://github.com/amitgajbhiye/biencoder_concept_property
공식 코드Modelling Commonsense Properties using Pre-Trained Bi-Encoders
https://github.com/dalab/hyperbolic_cones
공식 코드Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
https://github.com/darthzhu/vte
공식 코드https://github.com/mickeystroller/TaxoExpan
공식 코드TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
https://github.com/qingkaizeng/codetaxo-pub
공식 코드CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
https://github.com/sahilmishra0012/flame
공식 코드FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models
https://github.com/sahilmishra0012/quantaxo
공식 코드QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
https://github.com/sheryc/HEF
공식 코드https://github.com/songlinzhai/dng
공식 코드DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
https://github.com/vered1986/UnsupervisedHypernymy
공식 코드Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
https://github.com/vityavitalich/taxollama
공식 코드TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
https://github.com/yanzhen4/taxoinstruct
공식 코드https://github.com/yueyu1030/STEAM
공식 코드https://github.com/zjukg/ontotune
공식 코드OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
https://github.com/dinobby/hypemo
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
https://github.com/dm2-nd/gentaxo
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
https://github.com/gbcolborne/hypernym_discovery
https://github.com/iesl/geometric_graph_embedding
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
https://github.com/mickeysjm/taxoexpan
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.