# awesome-taxonomy **Repository Path**: xbaochen/awesome-taxonomy ## Basic Information - **Project Name**: awesome-taxonomy - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-02-28 - **Last Updated**: 2021-02-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # awesome-taxonomy A curated resource for taxonomy research ## Datasets / Shared Tasks 1. SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval-1), [Home](http://alt.qcri.org/semeval2015/task17/), [Report](http://aclweb.org/anthology/S15-2151) 2. SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2), [Home](http://alt.qcri.org/semeval2016/task13/), [Report](http://www.aclweb.org/anthology/S16-1168) 3. SemEval-2016 Task 14: Semantic Taxonomy Enrichment, [Home](http://alt.qcri.org/semeval2016/task14/), [Report](https://www.aclweb.org/anthology/S16-1169) 4. SemEval-2018 Task 9: Hypernym Discovery, [Home](https://competitions.codalab.org/competitions/17119), [Report](http://aclweb.org/anthology/S18-1115) 5. UnsupervisedHypernymy, [Home](https://github.com/vered1986/UnsupervisedHypernymy), [EACL 2017 paper](https://www.aclweb.org/anthology/E17-1007), including 4 datasets: * (Hypernymy Detection): EVAL, BLESS, LEDS (a.k.a Lenci/Benotto), Weeds 6. HypernymySuite, [Home](https://github.com/facebookresearch/hypernymysuite), [ACL 2018 paper](https://www.aclweb.org/anthology/P18-2057), including (somewhat modified) datasets: * (Hypernymy Detection): BLESS, LEDS, EVAL, SHWARTZ, WBLESS * (Hypernymy Direction): BLESS, WBLESS, BIBLESS * (Graded Entailment): HyperLex ## Paper ### Survey & Tutorials - \[ACL 2017\] [A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances](http://aclweb.org/anthology/D17-1123) ### Hypernymy Discovery & Lexical Entailment - \[IJCAI 2015\] [Learning Term Embeddings for Hypernymy Identification](https://www.ijcai.org/Proceedings/15/Papers/200.pdf) - \[ACL 2016\] [Improving Hypernymy Detection with an Integrated Path-based and Distributional Method](https://www.aclweb.org/anthology/P16-1226) (HypeNet) * Code: [https://github.com/vered1986/HypeNET](https://github.com/vered1986/HypeNET) - \[COLING 2016 CogALex-V\] [LexNET -- Integrated Path-based and Distributional Method for the Identification of Semantic Relations](https://www.aclweb.org/anthology/W16-5310) * Code: [https://github.com/vered1986/LexNET](https://github.com/vered1986/LexNET) - \[SemEval 2016\] [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) - \[EMNLP 2016\] [Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment](https://aclweb.org/anthology/D16-1234) * Code: [https://github.com/stephenroller/emnlp2016](https://github.com/stephenroller/emnlp2016) - \[EMNLP 2016\] [Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network](https://www.aclweb.org/anthology/D16-1039) - \[EACL 2017\] [Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection](https://www.aclweb.org/anthology/E17-1007) * Code: [https://github.com/vered1986/UnsupervisedHypernymy](https://github.com/vered1986/UnsupervisedHypernymy) - \[EMNLP 2017\] [Hierarchical Embeddings for Hypernymy Detection and Directionality](https://aclweb.org/anthology/papers/D/D17/D17-1022/) (HyperVec) * Code: [https://github.com/nguyenkh/HyperVec](https://github.com/nguyenkh/HyperVec) - \[NAACL 2018\] [Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection](https://www.aclweb.org/anthology/N18-1045) - \[NAACL 2018\] [Specialising Word Vectors for Lexical Entailment](https://www.aclweb.org/anthology/N18-1103) * Code: [https://github.com/nmrksic/lear](https://github.com/nmrksic/lear) - \[SEM 2018\] [Term Definitions Help Hypernymy Detection](https://www.aclweb.org/anthology/S18-2025) - [Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora](https://www.aclweb.org/anthology/P18-2057) \[ACL 2018\] * Code: [https://github.com/facebookresearch/hypernymysuite](https://github.com/facebookresearch/hypernymysuite) - \[AAAI 2019\] [Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning](https://chywang.github.io/papers/aaai2019.pdf) * Code: [https://github.com/chywang/TEAL](https://github.com/chywang/TEAL) - \[WWW 2019\] [A Family of Fuzzy Orthogonal Projection Models for Monolingual and Cross-lingual Hypernymy Prediction](https://chywang.github.io/papers/www2019.pdf) * Code: [https://github.com/chywang/FOP](https://github.com/chywang/FOP) - \[CIKM 2019\] [Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity](https://arxiv.org/pdf/1909.01584.pdf) * Code: [https://github.com/ysyushi/HyperMine](https://github.com/ysyushi/HyperMine) - \[AAAI 2020\] [Hypernym Detection Using Strict Partial Order Networks](https://arxiv.org/pdf/1909.10572.pdf) - \[ACL 2020\] [BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection](https://chywang.github.io/papers/acl2020.pdf) - \[ACL 2020\] [Hypernymy Detection for Low-Resource Languages via Meta Learning](https://www.aclweb.org/anthology/2020.acl-main.336.pdf) - \[EMNLP 2020\] [When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models](https://arxiv.org/pdf/2010.04941.pdf) * Code: [https://github.com/HKUST-KnowComp/ComHyper](https://github.com/HKUST-KnowComp/ComHyper) ### Concept Taxonomy Construction (Instance-based Taxonomy) - \[ACL 2006\] [Semantic Taxonomy Induction from Heterogenous Evidence](http://aclweb.org/anthology/P06-1101) - \[AAAI 2007\] [Deriving a Large Scale Taxonomy from Wikipedia](https://pdfs.semanticscholar.org/c360/b473ae80b715c5b725c592b6ab04fd4ac430.pdf) - \[ACL 2009\] [A Metric-based Framework for Automatic Taxonomy Induction](http://aclweb.org/anthology/P09-1031) - \[EMNLP 2010\] [A Semi-Supervised Method to Learn and Construct Taxonomies using the Web](http://aclweb.org/anthology/D10-1108) - \[CIKM 2010\] [MENTA: Inducing Multilingual Taxonomies from Wikipedia](http://gerard.demelo.org/papers/demelo-menta-cikm2010.pdf) - \[IJCAI 2011\] [A graph-based algorithm for inducing lexical taxonomies from scratch](https://www.ijcai.org/Proceedings/11/Papers/313.pdf) - \[SIGMOD 2012\] [Probase: A probabilistic taxonomy for text understanding](https://www.microsoft.com/en-us/research/wp-content/uploads/2012/05/paper.pdf) - \[ACL 2014\][Learning Semantic Hierarchies via Word Embeddings](https://www.aclweb.org/anthology/P14-1113) - \[ACL 2014\] [Two Is Bigger (and Better) Than One -- the Wikipedia Bitaxonomy Project](http://aclweb.org/anthology/P14-1089) * Resources: [http://wibitaxonomy.org/](http://wibitaxonomy.org/) - \[ACL 2014\] [Structured Learning for Taxonomy Induction with Belief Propagation](http://aclweb.org/anthology/P14-1098) - \[EMNLP 2014\] [Taxonomy Construction Using Syntactic Contextual Evidence](http://aclweb.org/anthology/D14-1088) - \[EMNLP 2015\] [Incorporating Trustiness and Collective Synonym and Contrastive Evidence into Taxonomy Construction](http://aclweb.org/anthology/D15-1117) - \[ICDM 2015\] [Automatic Taxonomy Extraction from Bipartite Graphs](https://ieeexplore.ieee.org/document/7373326) - \[ACL 2016\] [Learning Concept Taxonomies from Multi-modal Data](http://aclweb.org/anthology/P16-1169) - \[COLING 2016\] [Revisiting Taxonomy Induction over Wikipedia](http://www.aclweb.org/anthology/C16-1217) - \[CIKM 2017\] [Taxonomy Induction using Hypernym Subsequences](https://arxiv.org/pdf/1704.07626.pdf) - \[NAACL 2018 \] [Comparing Constraints for Taxonomic Organization](https://www.aclweb.org/anthology/N18-1030) * Code: [https://github.com/acocos/tax-org](https://github.com/acocos/tax-org) - \[KDD 2018\] [HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion](http://hanj.cs.illinois.edu/pdf/kdd18_jshen.pdf) * Code: [https://github.com/mickeystroller/HiExpan](https://github.com/mickeystroller/HiExpan) - \[ACL 2018\] [End-to-End Reinforcement Learning for Automatic Taxonomy Induction](http://aclweb.org/anthology/P18-1229) * Code: [https://github.com/morningmoni/TaxoRL](https://github.com/morningmoni/TaxoRL) - \[ACL 2019\] [Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings](https://arxiv.org/pdf/1902.00913.pdf) - \[ACL 2020\] [Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer]() * Code: [https://github.com/IBM/gnn-taxo-construction](https://github.com/IBM/gnn-taxo-construction) ### Topic Taxonomy Construction (Clustering-based Taxonomy) - \[KDD 2012\] [Automatic Taxonomy Construction from Keywords](http://cgcad.thss.tsinghua.edu.cn/shixia/publications/brt/paper.pdf) - \[KDD 2013\] [A Phrase Mining Framework for Recursive Construction of a Topical Hierarchy](https://uofi.app.box.com/v/kdd13-cathy) - \[ACL 2015\] [Efficient Methods for Inferring Large Sparse Topic Hierarchies](http://aclweb.org/anthology/P15-1075) - \[KDD 2018\] [TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering](http://hanj.cs.illinois.edu/pdf/kdd18_czhang.pdf) * Code: [https://github.com/franticnerd/taxogen](https://github.com/franticnerd/taxogen) - \[WWW 2020\] [NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network](http://hanj.cs.illinois.edu/pdf/www20_jshang.pdf) - \[KDD 2020\] [CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring](https://dl.acm.org/doi/10.1145/3394486.3403244) * Code: [https://github.com/teapot123/CoRel](https://github.com/teapot123/CoRel) ### Taxonomy Expansion & Enrichment - \[CIKM 2012\] [A graph-based approach for ontology population with named entities](https://dl.acm.org/citation.cfm?doid=2396761.2396807) - \[WWW 2014\] [A Hierarchical Dirichlet Model for Taxonomy Expansion for Search Engines](http://yichang-cs.com/yahoo/www14_local.pdf) - \[NAACL 2015\] [Reserating the awesometastic: An automatic extension of the WordNet taxonomy for novel terms](https://www.aclweb.org/anthology/N15-1169) - \[SemEval 2016\] [SemEval-2016 Task 14: Semantic Taxonomy Enrichment](https://www.aclweb.org/anthology/S16-1169) - \[SIGIR 2018\] [Enriching Taxonomies With Functional Domain Knowledge](https://dl.acm.org/doi/10.1145/3209978.3210000) - \[ACL 2019\] [Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings](https://www.aclweb.org/anthology/P19-1474/) * Code: [https://github.com/uhh-lt/Taxonomy_Refinement_Embeddings](https://github.com/uhh-lt/Taxonomy_Refinement_Embeddings) - \[ACL 2019\] [Automatic Taxonomy Induction and Expansion](https://www.aclweb.org/anthology/D19-3005.pdf) - \[AKBC 2019\] [Synonym Expansion for Large Shopping Taxonomies](https://openreview.net/pdf?id=rJx2g-qaTm) - \[WWW 2020\] [Expanding Taxonomies with Implicit Edge Semantics](http://emaadmanzoor.com/papers/20-www-arborist.pdf) * Website w/ code, slides, video, etc.: [https://cmuarborist.github.io/](https://cmuarborist.github.io/) - \[WWW 2020\] [TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network](https://arxiv.org/abs/2001.09522) * Code: [https://github.com/mickeystroller/TaxoExpan](https://github.com/mickeystroller/TaxoExpan) - \[KDD 2020\] [STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths](https://arxiv.org/pdf/2006.10217.pdf) * Code: [https://github.com/yueyu1030/STEAM](https://github.com/yueyu1030/STEAM) - \[KDD 2020\] [Octet: Online Catalog Taxonomy Enrichment with Self-Supervision](https://arxiv.org/abs/2006.10276) ### Taxonomy Application - \[CIKM 2004\] [Taxonomy-driven computation of product recommendations](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.90.3304&rep=rep1&type=pdf) - \[VLDB 2012\] [Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior](https://arxiv.org/abs/1207.0136) - \[WSDM 2019\] [Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation](https://dl.acm.org/citation.cfm?id=3290972) * Code: [https://github.com/RUCDM/TMRN](https://github.com/RUCDM/TMRN) - \[KDD 2019\] [A User-Centered Concept Mining System for Query and Document Understanding at Tencent ](https://arxiv.org/pdf/1905.08487.pdf) * Code: [https://github.com/BangLiu/ConcepT](https://github.com/BangLiu/ConcepT) - \[KDD 2019\] [Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts](http://web.cs.ucla.edu/~yzsun/papers/2019_KDD_JOIE.pdf) * Code: [https://github.com/JunhengH/joie-kdd19](https://github.com/JunhengH/joie-kdd19) - \[CIKM 2019\] [STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.pdf](https://www.microsoft.com/en-us/research/uploads/prod/2019/10/lp0249-gaoA.pdf) * Code: [https://github.com/jygao97/STAR](https://github.com/jygao97/STAR) - \[ACL 2020\] [TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories](https://arxiv.org/pdf/2004.13852.pdf) ### Joint Taxonomy Construction and Application - \[EMNLP 2012\] [Constructing Task-Specific Taxonomies for Document Collection Browsing](http://aclweb.org/anthology/D12-1117) - \[WSDM 2014\] [Taxonomy Discovery for Personalized Recommendation](https://ai.google/research/pubs/pub42499) - \[KDD 2018\] [On Interpretation of Network Embedding via Taxonomy Induction](http://www.public.asu.edu/~jundongl/paper/KDD18_Network_Embedding_Interpretation.pdf) - \[WWW 2019\] [TiFi: Taxonomy Induction for Fictional Domains](https://arxiv.org/pdf/1901.10263.pdf)