{"id":14109395,"url":"https://github.com/mickeysjm/awesome-taxonomy","last_synced_at":"2025-08-01T08:31:44.726Z","repository":{"id":42201415,"uuid":"169521912","full_name":"mickeysjm/awesome-taxonomy","owner":"mickeysjm","description":"A curated resource for taxonomy research","archived":false,"fork":false,"pushed_at":"2024-04-26T23:34:12.000Z","size":85,"stargazers_count":198,"open_issues_count":0,"forks_count":30,"subscribers_count":20,"default_branch":"master","last_synced_at":"2024-05-20T06:12:03.529Z","etag":null,"topics":["datasets","hypernymy-detection","taxonomy-construction","taxonomy-learning"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mickeysjm.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-02-07T05:04:26.000Z","updated_at":"2024-05-29T11:23:01.394Z","dependencies_parsed_at":"2024-01-18T02:36:21.712Z","dependency_job_id":"ca61459f-29dd-434c-a1fb-6f109149344b","html_url":"https://github.com/mickeysjm/awesome-taxonomy","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mickeysjm%2Fawesome-taxonomy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mickeysjm%2Fawesome-taxonomy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mickeysjm%2Fawesome-taxonomy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mickeysjm%2Fawesome-taxonomy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mickeysjm","download_url":"https://codeload.github.com/mickeysjm/awesome-taxonomy/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228351776,"owners_count":17906553,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["datasets","hypernymy-detection","taxonomy-construction","taxonomy-learning"],"created_at":"2024-08-14T10:02:17.046Z","updated_at":"2024-12-05T18:31:06.972Z","avatar_url":"https://github.com/mickeysjm.png","language":null,"funding_links":[],"categories":["Other Lists","📦 Legacy \u0026 Inactive Projects"],"sub_categories":["TeX Lists"],"readme":"# awesome-taxonomy\nA curated resource for taxonomy research\n\n\n# Datasets / Shared Tasks\n\n1. SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval-1), [Home](http://alt.qcri.org/semeval2015/task17/), [Report](http://aclweb.org/anthology/S15-2151)\n\n2. SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2), [Home](http://alt.qcri.org/semeval2016/task13/), [Report](http://www.aclweb.org/anthology/S16-1168)\n\n3. SemEval-2016 Task 14: Semantic Taxonomy Enrichment, [Home](http://alt.qcri.org/semeval2016/task14/), [Report](https://www.aclweb.org/anthology/S16-1169)\n\n4. SemEval-2018 Task 9: Hypernym Discovery, [Home](https://competitions.codalab.org/competitions/17119), [Report](http://aclweb.org/anthology/S18-1115)\n\n5. UnsupervisedHypernymy, [Home](https://github.com/vered1986/UnsupervisedHypernymy), [EACL 2017 paper](https://www.aclweb.org/anthology/E17-1007), including 4 datasets:\n\n\t* (Hypernymy Detection): EVAL, BLESS, LEDS (a.k.a Lenci/Benotto), Weeds\n\n6. HypernymySuite, [Home](https://github.com/facebookresearch/hypernymysuite), [ACL 2018 paper](https://www.aclweb.org/anthology/P18-2057), including (somewhat modified) datasets: \n\t\n\t* (Hypernymy Detection): BLESS, LEDS, EVAL, SHWARTZ, WBLESS\n\t* (Hypernymy Direction): BLESS, WBLESS, BIBLESS\n\t* (Graded Entailment): HyperLex\n\n\n# Paper\n\n\n## Book \u0026 Survey \u0026 Tutorials\n\n- \\[ACL 2017\\] [A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances](http://aclweb.org/anthology/D17-1123) \n\n- \\[ICDM 2021\\] [Automated Taxonomy Discovery and Exploration](https://mickeysjm.github.io/resources/icdm21_tutorial.pdf)\n\t* Slides: [https://drive.google.com/drive/folders/1e_wb0MWydNPSEtZGD6g8ZLM-5Q_OtQdh](https://drive.google.com/drive/folders/1e_wb0MWydNPSEtZGD6g8ZLM-5Q_OtQdh) \n\n- \\[Springer Nature 2022\\] [Automated Taxonomy Discovery and Exploration](https://link.springer.com/book/10.1007/978-3-031-11405-2)\n\n\n## Hypernymy Discovery \u0026 Lexical Entailment\n\n- \\[IJCAI 2015\\] [Learning Term Embeddings for Hypernymy Identification](https://www.ijcai.org/Proceedings/15/Papers/200.pdf) \n- \\[ACL 2016\\] [Improving Hypernymy Detection with an Integrated Path-based and Distributional Method](https://www.aclweb.org/anthology/P16-1226) (HypeNet) \n\t* Code: [https://github.com/vered1986/HypeNET](https://github.com/vered1986/HypeNET)\n- \\[COLING 2016 CogALex-V\\] [LexNET -- Integrated Path-based and Distributional Method for the Identification of Semantic Relations](https://www.aclweb.org/anthology/W16-5310)\n\t* Code: [https://github.com/vered1986/LexNET](https://github.com/vered1986/LexNET)\n- \\[SemEval 2016\\] [TAXI at SemEval-2016 Task 13: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling](https://www.aclweb.org/anthology/S16-1206)\n- \\[EMNLP 2016\\] [Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment](https://aclweb.org/anthology/D16-1234) \n\t* Code: [https://github.com/stephenroller/emnlp2016](https://github.com/stephenroller/emnlp2016)\n- \\[EMNLP 2016\\] [Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network](https://www.aclweb.org/anthology/D16-1039) \n- \\[EACL 2017\\] [Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection](https://www.aclweb.org/anthology/E17-1007)\n\t* Code: [https://github.com/vered1986/UnsupervisedHypernymy](https://github.com/vered1986/UnsupervisedHypernymy)\n- \\[EMNLP 2017\\] [Hierarchical Embeddings for Hypernymy Detection and Directionality](https://aclweb.org/anthology/papers/D/D17/D17-1022/) (HyperVec)\n\t* Code: [https://github.com/nguyenkh/HyperVec](https://github.com/nguyenkh/HyperVec)\n- \\[NAACL 2018\\] [Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection](https://www.aclweb.org/anthology/N18-1045) \n- \\[NAACL 2018\\] [Specialising Word Vectors for Lexical Entailment](https://www.aclweb.org/anthology/N18-1103) \n\t* Code: [https://github.com/nmrksic/lear](https://github.com/nmrksic/lear)\n- \\[SEM 2018\\] [Term Definitions Help Hypernymy Detection](https://www.aclweb.org/anthology/S18-2025) \n- [Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora](https://www.aclweb.org/anthology/P18-2057) \\[ACL 2018\\]\n\t* Code: [https://github.com/facebookresearch/hypernymysuite](https://github.com/facebookresearch/hypernymysuite)\n- \\[AAAI 2019\\] [Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning](https://chywang.github.io/papers/aaai2019.pdf) \n\t* Code: [https://github.com/chywang/TEAL](https://github.com/chywang/TEAL)\n- \\[WWW 2019\\] [A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction](https://chywang.github.io/papers/www2019.pdf)\n\t* Code: [https://github.com/chywang/FOP](https://github.com/chywang/FOP)\n- \\[CIKM 2019\\] [Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity](https://arxiv.org/pdf/1909.01584.pdf)\n\t* Code: [https://github.com/ysyushi/HyperMine](https://github.com/ysyushi/HyperMine)\n- \\[AAAI 2020\\] [Hypernym Detection Using Strict Partial Order Networks](https://arxiv.org/pdf/1909.10572.pdf)\n- \\[ACL 2020\\] [BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection](https://chywang.github.io/papers/acl2020.pdf)\n- \\[ACL 2020\\] [Hypernymy Detection for Low-Resource Languages via Meta Learning](https://www.aclweb.org/anthology/2020.acl-main.336.pdf)\n- \\[EMNLP 2020\\] [When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models](https://arxiv.org/pdf/2010.04941.pdf)\n\t* Code: [https://github.com/HKUST-KnowComp/ComHyper](https://github.com/HKUST-KnowComp/ComHyper)\n- \\[ACL 2021 Findings\\] [Hypernym Discovery via a Recurrent Mapping Model](https://aclanthology.org/2021.findings-acl.257.pdf)\n- \\[ACL 2021 Findings\\] [More than just Frequency? Demasking Unsupervised Hypernymy Prediction Method](https://arxiv.org/pdf/2106.00055.pdf)\n\t* Code: [https://github.com/Thommy96/hyp-freq-comp](https://github.com/Thommy96/hyp-freq-comp)\n- \\[\\*SEM 2023\\] [Seeking Clozure: Robust Hypernym Extraction from BERT with Anchored Prompts](https://aclanthology.org/2023.starsem-1.18.pdf)\n\t* Code: [https://github.com/ChunhuaLiu596/AnchoredPrompts](https://github.com/ChunhuaLiu596/AnchoredPrompts)\n- \\[EMNLP 2023\\] [KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction](https://aclanthology.org/2023.emnlp-main.358.pdf)\n\n\n## Concept Taxonomy Construction (Instance-based Taxonomy)\n\n- \\[ACL 2006\\] [Semantic Taxonomy Induction from Heterogenous Evidence](http://aclweb.org/anthology/P06-1101) \n- \\[AAAI 2007\\] [Deriving a Large Scale Taxonomy from Wikipedia](https://pdfs.semanticscholar.org/c360/b473ae80b715c5b725c592b6ab04fd4ac430.pdf) \n- \\[ACL 2009\\] [A Metric-based Framework for Automatic Taxonomy Induction](http://aclweb.org/anthology/P09-1031) \n- \\[EMNLP 2010\\] [A Semi-Supervised Method to Learn and Construct Taxonomies using the Web](http://aclweb.org/anthology/D10-1108) \n- \\[CIKM 2010\\] [MENTA: Inducing Multilingual Taxonomies from Wikipedia](http://gerard.demelo.org/papers/demelo-menta-cikm2010.pdf) \n- \\[IJCAI 2011\\] [A graph-based algorithm for inducing lexical taxonomies from scratch](https://www.ijcai.org/Proceedings/11/Papers/313.pdf) \n- \\[SIGMOD 2012\\] [Probase: A probabilistic taxonomy for text understanding](https://www.microsoft.com/en-us/research/wp-content/uploads/2012/05/paper.pdf) \n- \\[ACL 2014\\][Learning Semantic Hierarchies via Word Embeddings](https://www.aclweb.org/anthology/P14-1113) \n- \\[ACL 2014\\] [Two Is Bigger (and Better) Than One -- the Wikipedia Bitaxonomy Project](http://aclweb.org/anthology/P14-1089) \n\t* Resources: [http://wibitaxonomy.org/](http://wibitaxonomy.org/)\n- \\[ACL 2014\\] [Structured Learning for Taxonomy Induction with Belief Propagation](http://aclweb.org/anthology/P14-1098) \n- \\[EMNLP 2014\\] [Taxonomy Construction Using Syntactic Contextual Evidence](http://aclweb.org/anthology/D14-1088) \n- \\[EMNLP 2015\\] [Incorporating Trustiness and Collective Synonym and Contrastive Evidence into Taxonomy Construction](http://aclweb.org/anthology/D15-1117) \n- \\[ICDM 2015\\] [Automatic Taxonomy Extraction from Bipartite Graphs](https://ieeexplore.ieee.org/document/7373326) \n- \\[ACL 2016\\] [Learning Concept Taxonomies from Multi-modal Data](http://aclweb.org/anthology/P16-1169) \n- \\[COLING 2016\\] [Revisiting Taxonomy Induction over Wikipedia](http://www.aclweb.org/anthology/C16-1217) \n- \\[CIKM 2017\\] [Taxonomy Induction using Hypernym Subsequences](https://arxiv.org/pdf/1704.07626.pdf) \n- \\[NAACL 2018 \\] [Comparing Constraints for Taxonomic Organization](https://www.aclweb.org/anthology/N18-1030) \n\t* Code: [https://github.com/acocos/tax-org](https://github.com/acocos/tax-org)\n- \\[KDD 2018\\] [HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion](http://hanj.cs.illinois.edu/pdf/kdd18_jshen.pdf) \n\t* Code: [https://github.com/mickeystroller/HiExpan](https://github.com/mickeystroller/HiExpan)\n- \\[ACL 2018\\] [End-to-End Reinforcement Learning for Automatic Taxonomy Induction](http://aclweb.org/anthology/P18-1229) \n\t* Code: [https://github.com/morningmoni/TaxoRL](https://github.com/morningmoni/TaxoRL)\n- \\[ACL 2019\\] [Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings](https://arxiv.org/pdf/1902.00913.pdf) \n- \\[ACL 2020\\] [Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer]()\n\t* Code: [https://github.com/IBM/gnn-taxo-construction](https://github.com/IBM/gnn-taxo-construction)\n- \\[NAACL 2021\\] [Constructing Taxonomies from Pretrained Language Models](https://www.aclweb.org/anthology/2021.naacl-main.373.pdf)\n\t* Code: [https://github.com/cchen23/ctp](https://github.com/cchen23/ctp)\n- \\[SEM 2022\\] [Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction](https://aclanthology.org/2022.starsem-1.13.pdf)\n\t* Code: [https://github.com/devanshrj/zero-shot-taxonomy](https://github.com/devanshrj/zero-shot-taxonomy)\n- \\[Arxiv 2024\\] [Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples](https://arxiv.org/pdf/2402.07386.pdf)\n\t* Code: [https://github.com/QingkaiZeng/Chain-of-Layer](https://github.com/QingkaiZeng/Chain-of-Layer)\n\n\n## Topic Taxonomy Construction (Clustering-based Taxonomy)\n\n- \\[KDD 2012\\] [Automatic Taxonomy Construction from Keywords](http://cgcad.thss.tsinghua.edu.cn/shixia/publications/brt/paper.pdf) \n- \\[KDD 2013\\] [A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy](https://uofi.app.box.com/v/kdd13-cathy) \n- \\[ACL 2015\\] [Efficient Methods for Inferring Large Sparse Topic Hierarchies](http://aclweb.org/anthology/P15-1075) \n- \\[KDD 2018\\] [TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering](http://hanj.cs.illinois.edu/pdf/kdd18_czhang.pdf) \n\t* Code: [https://github.com/franticnerd/taxogen](https://github.com/franticnerd/taxogen)\n- \\[WWW 2020\\] [NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network](http://hanj.cs.illinois.edu/pdf/www20_jshang.pdf)\n- \\[KDD 2020\\] [CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring](https://dl.acm.org/doi/10.1145/3394486.3403244)\n\t* Code: [https://github.com/teapot123/CoRel](https://github.com/teapot123/CoRel)\n\n\n## Taxonomy Expansion \u0026 Enrichment\n\n- \\[CIKM 2012\\] [A graph-based approach for ontology population with named entities](https://dl.acm.org/citation.cfm?doid=2396761.2396807) \n- \\[WWW 2014\\] [A Hierarchical Dirichlet Model for Taxonomy Expansion for Search Engines](http://yichang-cs.com/yahoo/www14_local.pdf) \n- \\[NAACL 2015\\] [Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms](https://www.aclweb.org/anthology/N15-1169) \n- \\[SemEval 2016\\] [SemEval-2016 Task 14: Semantic Taxonomy Enrichment](https://www.aclweb.org/anthology/S16-1169) \n- \\[SIGIR 2018\\] [Enriching Taxonomies With Functional Domain Knowledge](https://dl.acm.org/doi/10.1145/3209978.3210000)\n- \\[ACL 2019\\] [Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings](https://www.aclweb.org/anthology/P19-1474/) \n\t* Code: [https://github.com/uhh-lt/Taxonomy_Refinement_Embeddings](https://github.com/uhh-lt/Taxonomy_Refinement_Embeddings)\n- \\[ACL 2019\\] [Automatic Taxonomy Induction and Expansion](https://www.aclweb.org/anthology/D19-3005.pdf) \t\n- \\[AKBC 2019\\] [Synonym Expansion for Large Shopping Taxonomies](https://openreview.net/pdf?id=rJx2g-qaTm)\n- \\[WWW 2020\\] [Expanding Taxonomies with Implicit Edge Semantics](http://emaadmanzoor.com/papers/20-www-arborist.pdf)\n\t* Website w/ code, slides, video, etc.: [https://cmuarborist.github.io/](https://cmuarborist.github.io/)\n- \\[WWW 2020\\] [TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network](https://arxiv.org/abs/2001.09522)\n\t* Code: [https://github.com/mickeystroller/TaxoExpan](https://github.com/mickeystroller/TaxoExpan)\n- \\[KDD 2020\\] [STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths](https://arxiv.org/pdf/2006.10217.pdf)\n\t* Code: [https://github.com/yueyu1030/STEAM](https://github.com/yueyu1030/STEAM)\n- \\[KDD 2020\\] [Octet: Online Catalog Taxonomy Enrichment with Self-Supervision](https://arxiv.org/abs/2006.10276)\n- \\[WWW-SSL 2021\\] [Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion](https://arxiv.org/pdf/2104.03682.pdf)\n- \\[AAAI 2021\\] [Taxonomy Completion via Triplet Matching Network](https://arxiv.org/pdf/2101.01896.pdf)\n\t* Code: [https://github.com/JieyuZ2/TMN](https://github.com/JieyuZ2/TMN)\n- \\[KDD 2021\\] [Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations](https://arxiv.org/pdf/2106.02974.pdf)\n\t* Code: [https://github.com/QingkaiZeng/GenTaxo](https://github.com/QingkaiZeng/GenTaxo)\n- \\[WWW 2021\\] [Enquire One’s Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion](https://arxiv.org/pdf/2101.11268.pdf)\n\t* Code: [https://github.com/sheryc/HEF](https://github.com/sheryc/HEF)\n- \\[EMNLP 2021\\] [TEMP: Taxonomy Expansion with Dynamic Margin Loss through Taxonomy-Paths](https://aclanthology.org/2021.emnlp-main.313)\n- \\[EMNLP 2021\\] [Low-resource Taxonomy Enrichment with Pretrained Language Models](https://aclanthology.org/2021.emnlp-main.217/)\n- \\[EMNLP Findings 2021\\] [HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning](https://arxiv.org/pdf/2109.10500.pdf)\n- \\[WWW 2022\\] [TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations](https://arxiv.org/pdf/2202.04887.pdf)\n- \\[WWW 2022\\] [QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations](https://dl.acm.org/doi/abs/10.1145/3485447.3511943)\n- \\[WWW 2022\\] [TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters](https://arxiv.org/pdf/2201.06771.pdf)\n- \\[ICDE 2022\\] [Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision](https://arxiv.org/pdf/2203.14921.pdf)\n\t* Code: [https://github.com/AdaCheng/Product_Taxonomy_Expansion](https://github.com/AdaCheng/Product_Taxonomy_Expansion)\n- \\[Semantic Web 2022\\] [Taxonomy enrichment with text and graph vector representations](https://arxiv.org/pdf/2201.08598.pdf)\n- \\[NAACL 2022\\] [TEAM: A multitask learning based Taxonomy Expansion approach for Attach and Merge](https://aclanthology.org/2022.findings-naacl.28.pdf)\n- \\[IJCAI 2022\\] [TaxoPrompt: A Prompt-based Generation Method with Taxonomic Context for Self-Supervised Taxonomy Expansion](https://www.ijcai.org/proceedings/2022/0615.pdf)\n- \\[EMNLP 2022\\] [Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation](https://aclanthology.org/2022.findings-emnlp.122.pdf)\n- \\[AAAI 2023\\] [DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-Gaussian Space](https://arxiv.org/pdf/2302.11165.pdf)\n- \\[WWW 2023\\] [A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings](https://songjiang0909.github.io/pdf/boxtaxo.pdf)\n\t* Code: [https://github.com/songjiang0909/BoxTaxo](https://github.com/songjiang0909/BoxTaxo)\n- \\[WWW 2023\\] [TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching](https://dl.acm.org/doi/pdf/10.1145/3543507.3583342)\n\t* Code: [https://github.com/eXascaleInfolab/TaxoComplete](https://github.com/eXascaleInfolab/TaxoComplete)\n- \\[EACL 2023\\] [Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model](https://aclanthology.org/2023.eacl-main.73.pdf)\n  \t* Code: [https://github.com/WENGSYX/ATTEMPT](https://github.com/WENGSYX/ATTEMPT)\n- \\[EMNLP 2023\\] [TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion](https://aclanthology.org/2023.emnlp-main.979.pdf)\n  \t* Code: [https://github.com/cyclexu/TacoPrompt](https://github.com/cyclexu/TacoPrompt)\n- \\[MM 2023\\] [Towards Visual Taxonomy Expansion](https://arxiv.org/pdf/2309.06105.pdf)\n   \t* Code: [https://github.com/darthzhu/vte](https://github.com/darthzhu/vte)\n- \\[WebConf 2024\\] [Taxonomy Completion via Implicit Concept Insertion](https://ora.ox.ac.uk/objects/uuid:734f4f2c-e8de-4778-8902-6776b099b7b0/files/s6q182m86q)\n   \t* Code: [https://github.com/jingcshi/ICON](https://github.com/jingcshi/ICON)\n   \t* Talk: [https://www.youtube.com/watch?v=9otF15bvuBc](https://www.youtube.com/watch?v=9otF15bvuBc)\n\n\n## Taxonomy Applications\n\n### Help Text Understanding and Representation Learning\n\n- \\[SIGMOD 2012\\] [Probase: A probabilistic taxonomy for text understanding](https://www.microsoft.com/en-us/research/wp-content/uploads/2012/05/paper.pdf) \n- \\[KDD 2019\\] [Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts](http://web.cs.ucla.edu/~yzsun/papers/2019_KDD_JOIE.pdf)\n\t* Code: [https://github.com/JunhengH/joie-kdd19](https://github.com/JunhengH/joie-kdd19)\n- \\[AKBC 2021\\] [Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning](https://openreview.net/pdf?id=TPymTKJR-Pi)\n\t* Code: [https://github.com/HKUST-KnowComp/GeoAlign](https://github.com/HKUST-KnowComp/GeoAlign)\n\n### Help Information Retrieval\n\n- \\[WebConf 2024\\] [Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy](https://arxiv.org/pdf/2403.04160)\n\t* Code: [https://github.com/SeongKu-Kang/ToTER_WWW24](https://github.com/SeongKu-Kang/ToTER_WWW24)\n\t* Talk: [https://www.youtube.com/watch?v=Y7RU5GpgaEI](https://www.youtube.com/watch?v=Y7RU5GpgaEI)\n\n### Help Network Embedding\n\n- \\[KDD 2018\\] [Hierarchical Taxonomy Aware Network Embedding](http://pengcui.thumedialab.com/papers/NE-Hierarchical.pdf)\n- \\[KDD 2018\\] [On Interpretation of Network Embedding via Taxonomy Induction](http://www.public.asu.edu/~jundongl/paper/KDD18_Network_Embedding_Interpretation.pdf) \n\t* Code: [https://github.com/ninghaohello/UnderstandingNetworkEmbedding](https://github.com/ninghaohello/UnderstandingNetworkEmbedding)\n- \\[ICDM 2020\\] [Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks](https://jiyang3.web.engr.illinois.edu/files/taxogan.pdf)\n\t* Code: [https://github.com/JieyuZ2/TaxoGAN](https://github.com/JieyuZ2/TaxoGAN)\n\n\n### Improve Recommender System\n\n- \\[CIKM 2004\\] [Taxonomy-driven computation of product recommendations](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.90.3304\u0026rep=rep1\u0026type=pdf) \n- \\[VLDB 2012\\] [Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior](https://arxiv.org/abs/1207.0136) \n- \\[WSDM 2014\\] [Taxonomy Discovery for Personalized Recommendation](https://ai.google/research/pubs/pub42499) \n- \\[WSDM 2019\\] [Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation](https://dl.acm.org/citation.cfm?id=3290972)\n\t* Code: [https://github.com/RUCDM/TMRN](https://github.com/RUCDM/TMRN)\n- \\[KDD 2019\\] [A User-Centered Concept Mining System for Query and Document Understanding at Tencent ](https://arxiv.org/pdf/1905.08487.pdf)\n\t* Code: [https://github.com/BangLiu/ConcepT](https://github.com/BangLiu/ConcepT)\n\t* Code: [https://github.com/JunhengH/joie-kdd19](https://github.com/JunhengH/joie-kdd19)\n- \\[CIKM 2019\\] [STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints](https://www.microsoft.com/en-us/research/uploads/prod/2019/10/lp0249-gaoA.pdf)\n\t* Code: [https://github.com/jygao97/STAR](https://github.com/jygao97/STAR)\n- \\[ICDE 2022\\] [Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space](https://www.cs.emory.edu/~jyang71/files/taxorec.pdf)\n\t* Code: [https://github.com/Melinda315/TaxoRec](https://github.com/Melinda315/TaxoRec)\n\n### Improve Information Extraction\n\n- \\[ACL 2020\\] [TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories](https://arxiv.org/pdf/2004.13852.pdf)\n- \\[ACL 2021\\] [OntoED: Low-resource Event Detection with Ontology Embedding](https://arxiv.org/pdf/2105.10922.pdf)\n\t* Code: [https://github.com/231sm/Reasoning_In_EE](https://github.com/231sm/Reasoning_In_EE)\n- \\[ACL 2021\\] [OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding](https://arxiv.org/pdf/2105.07688.pdf)\n\t* Code: [https://github.com/ZihengZZH/OntoEA](https://github.com/ZihengZZH/OntoEA)\n- \\[EMNLP 2021\\] [ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision](https://aclanthology.org/2021.emnlp-main.424.pdf)\n\t* Code: [https://github.com/xuanwang91/ChemNER](https://github.com/xuanwang91/ChemNER)\n- \\[WWW 2022\\] [Ontology-enhanced Prompt-tuning for Few-shot Learning](https://arxiv.org/pdf/2201.11332.pdf)\n- \\[EMNLP 2023\\] [Taxonomy Expansion for Named Entity Recognition](https://aclanthology.org/2023.emnlp-main.426.pdf)\n\n\n### Guide Entity Translation\n\n- \\[KDD 2022\\] [TaxoTrans: Taxonomy-Guided Entity Translation](https://dl.acm.org/doi/abs/10.1145/3534678.3539188)\n\n## Joint Taxonomy Construction and Application\n\n- \\[EMNLP 2012\\] [Constructing Task-Specific Taxonomies for Document Collection Browsing](http://aclweb.org/anthology/D12-1117) \n- \\[WWW 2019\\] [TiFi: Taxonomy Induction for Fictional Domains](https://arxiv.org/pdf/1901.10263.pdf) \n- \\[SIGMOD 2020\\] [GIANT: Scalable Creation of a Web-scale Ontology](https://arxiv.org/pdf/2004.02118.pdf)\n\t* Code: [https://github.com/BangLiu/GIANT](https://github.com/BangLiu/GIANT)\n\n## Misc\n\n- \\[ACL 2022\\] [CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP](https://paperswithcode.com/paper/cogtaskonomy-cognitively-inspired-task)\n- \\[ACL 2022\\] [Better Language Model with Hypernym Class Prediction ](https://arxiv.org/pdf/2203.10692.pdf)\n\t* Code: [https://github.com/richardbaihe/robustLM](https://github.com/richardbaihe/robustLM)\n- \\[ACL 2023\\] [ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain](https://aclanthology.org/2023.acl-long.662.pdf)\n\t* Code: [https://github.com/mainlp/escoxlmr](https://github.com/mainlp/escoxlmr)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmickeysjm%2Fawesome-taxonomy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmickeysjm%2Fawesome-taxonomy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmickeysjm%2Fawesome-taxonomy/lists"}