---
title: "Who cites Automatic Acquisition of — 666 citing papers"
description: "666 papers of the Elamur Research library cite «Automatic Acquisition of Hyponyms from Large Text Corpora», found in their bibliographies…"
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---
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# Who cites «Automatic Acquisition of Hyponyms from Large Text Corpora»

666 papers of our library cite it (of the 149,439 whose bibliographies we read) · 66 with a page here, the most cited first · [← back to «Automatic Acquisition of Hyponyms from Large Text Corpora»](https://md.research.elamur.ai/free/en/papers/hearst-1992-automatic-acquisition-hyponyms-large-text/)

1. **[Natural Questions: A Benchmark for Question Answering Research](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2019-natural-questions-benchmark-question-answering/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al.*2019 · 4,093 citations*
2. **[Distant supervision for relation extraction without labeled data](https://md.research.elamur.ai/free/en/papers/mintz-2009-distant-supervision-relation-extraction-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mike Mintz, Steven Bills, Rion Snow, et al.*2009 · 3,481 citations*
3. **[Semantic Parsing on Freebase from Question-Answer Pairs](https://md.research.elamur.ai/free/en/papers/berant-2013-semantic-parsing-freebase-question-answer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Berant, Andrew Chou, Roy Frostig, et al.*2013 · 2,331 citations*
4. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,014 citations*
5. **[Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods](https://md.research.elamur.ai/free/en/papers/paulheim-2017-knowledge-graph-refinement-survey-approaches/) [Semantic Web](https://md.research.elamur.ai/free/en/venues/semantic-web/)**Heiko Paulheim*2017 · 1,248 citations*
6. **[Unsupervised Models for Named Entity Classification](https://md.research.elamur.ai/free/en/papers/collins-1999-unsupervised-models-named-entity-classification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michael Collins, Yoram Singer*1999 · 994 citations*
7. **[Distributional Memory: A General Framework for Corpus-Based Semantics](https://md.research.elamur.ai/free/en/papers/baroni-2010-distributional-memory-general-framework-corpus/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marco Baroni, Alessandro Lenci*2010 · 884 citations*
8. **[Social Bias Frames: Reasoning about Social and Power Implications of Language](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 684 citations*
9. **[Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations](https://md.research.elamur.ai/free/en/papers/pantel-2006-espresso-leveraging-generic-patterns-automatically/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Patrick Pantel, Marco Pennacchiotti*2006 · 680 citations*
10. **[Learning subjective nouns using extraction pattern bootstrapping](https://md.research.elamur.ai/free/en/papers/riloff-2003-learning-subjective-nouns-extraction-pattern/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ellen Riloff, Janyce Wiebe, Theresa Wilson*2003 · 580 citations*
11. **[Learning How to Ask: Querying LMs with Mixtures of Soft Prompts](https://md.research.elamur.ai/free/en/papers/qin-2021-learning-ask-querying-lms-mixtures/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Guanghui Qin, Jason Eisner*2021 · 573 citations*
12. **[Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/davis-2015-commonsense-reasoning-commonsense-knowledge-artificial/) [Communications of the ACM](https://md.research.elamur.ai/free/en/venues/communications-of-the-acm/)**Ernest Davis, Gary Marcus*2015 · 508 citations*
13. [**Inherent Disagreements in Human Textual Inferences**Ellie Pavlick, Tom Kwiatkowski*2019 · 454 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)
14. **[A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts](https://md.research.elamur.ai/free/en/papers/thelen-2002-bootstrapping-method-learning-semantic-lexicons/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Michael Thelen, Ellen Riloff*2002 · 450 citations*
15. **[Automatic construction of a hypernym-labeled noun hierarchy from text](https://md.research.elamur.ai/free/en/papers/caraballo-1999-automatic-construction-hypernym-labeled-noun/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sharon A. Caraballo*1999 · 443 citations*
16. **[Learning to Extract Relations from the Web using Minimal Supervision](https://md.research.elamur.ai/free/en/papers/bunescu-2007-learning-extract-relations-web-minimal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Razvan Bunescu, Raymond Mooney*2007 · 328 citations*
17. **[Learning Semantic Hierarchies via Word Embeddings](https://md.research.elamur.ai/free/en/papers/fu-2014-learning-semantic-hierarchies-word-embeddings/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiji Fu, Jiang Guo, Bing Qin, et al.*2014 · 327 citations*
18. **[Do Supervised Distributional Methods Really Learn Lexical Inference Relations?](https://md.research.elamur.ai/free/en/papers/levy-2015-do-supervised-distributional-methods-really/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Omer Levy, Steffen Remus, Chris Biemann, et al.*2015 · 325 citations*
19. **[Entailment above the word level in distributional semantics](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 320 citations*
20. **[Improving Hypernymy Detection with an Integrated Path-based and Distributional Method](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*
21. **[Improvements in Automatic Thesaurus Extraction](https://md.research.elamur.ai/free/en/papers/curran-2002-improvements-automatic-thesaurus-extraction/) [ACL-02 Workshop on Unsupervised Lexical Acquisition](https://md.research.elamur.ai/free/en/venues/acl-02-workshop-on-unsupervised-lexical-acquisition/)**James R. Curran, Marc Moens*2002 · 293 citations*
22. **[The Distributional Inclusion Hypotheses and Lexical Entailment](https://md.research.elamur.ai/free/en/papers/geffet-2005-distributional-inclusion-hypotheses-lexical-entailment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maayan Geffet, Ido Dagan*2005 · 291 citations*
23. **[Automatically Labeling Semantic Classes](https://md.research.elamur.ai/free/en/papers/pantel-2004-automatically-labeling-semantic-classes/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Pantel, Deepak Ravichandran*2004 · 277 citations*
24. **[Similarity of Semantic Relations](https://md.research.elamur.ai/free/en/papers/turney-2006-similarity-semantic-relations/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Peter D. Turney*2006 · 276 citations*
25. **[Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs](https://md.research.elamur.ai/free/en/papers/kozareva-2008-semantic-class-learning-web-hyponym/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zornitsa Kozareva, Ellen Riloff, Eduard Hovy*2008 · 273 citations*
26. **[OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction](https://md.research.elamur.ai/free/en/papers/velardi-2013-ontolearn-reloaded-graph-based-algorithm/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Paola Velardi, Stefano Faralli, Roberto Navigli*2013 · 258 citations*
27. **[Inclusive yet Selective: Supervised Distributional Hypernymy Detection](https://md.research.elamur.ai/free/en/papers/roller-2014-inclusive-yet-selective-supervised-distributional/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Stephen Roller, Katrin Erk, Gemma Boleda*2014 · 217 citations*
28. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.*2018 · 216 citations*
29. **[A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web](https://md.research.elamur.ai/free/en/papers/kozareva-2010-semi-supervised-method-learn-construct/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zornitsa Kozareva, Eduard Hovy*2010 · 205 citations*
30. **[Learning Word-Class Lattices for Definition and Hypernym Extraction](https://md.research.elamur.ai/free/en/papers/navigli-2010-learning-word-class-lattices-definition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roberto Navigli, Paola Velardi*2010 · 201 citations*
31. **[Text: now in 2D! A framework for lexical expansion with contextual similarity](https://md.research.elamur.ai/free/en/papers/biemann-2013-text-now-2d-framework-lexical/) [Journal of Language Modelling](https://md.research.elamur.ai/free/en/venues/journal-of-language-modelling/)**Chris Biemann, Martin Riedl*2013 · 185 citations*
32. **[Global Learning of Typed Entailment Rules](https://md.research.elamur.ai/free/en/papers/berant-2011-global-learning-typed-entailment-rules/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonathan Berant, Ido Dagan, Jacob Goldberger*2011 · 182 citations*
33. [**Supersense Tagging of Unknown Nouns in WordNet**Massimiliano Ciaramita, Mark Johnson*2003 · 176 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2003-supersense-tagging-unknown-nouns-wordnet/)
34. [**A Graph-Based Algorithm for Inducing Lexical Taxonomies from Scratch IJCAI-11**Roberto Navigli, Paola Velardi, Stefano Faralli*2011 · 174 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2011-graph-based-algorithm-inducing-lexical/)
35. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
36. **[Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection](https://md.research.elamur.ai/free/en/papers/shwartz-2017-hypernyms-under-siege-linguistically-motivated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vered Shwartz, Enrico Santus, Dominik Schlechtweg*2017 · 144 citations*
37. **[Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora](https://md.research.elamur.ai/free/en/papers/roller-2018-hearst-patterns-revisited-automatic-hypernym/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stephen Roller, Douwe Kiela, Maximilian Nickel*2018 · 143 citations*
38. **[Computing Lexical Contrast](https://md.research.elamur.ai/free/en/papers/mohammad-2013-computing-lexical-contrast/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Saif M. Mohammad, Bonnie J. Dorr, Graeme Hirst, et al.*2013 · 138 citations*
39. **[QED: A Framework and Dataset for Explanations in Question Answering](https://md.research.elamur.ai/free/en/papers/lamm-2021-qed-framework-dataset-explanations-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Matthew Lamm, Jennimaria Palomaki, Chris Alberti, et al.*2021 · 91 citations*
40. **[SemEval-2007 Task 04: Classification of Semantic Relations between Nominals](https://md.research.elamur.ai/free/en/papers/girju-2007-semeval-2007-task-04-classification/) [International Workshop on Semantic Evaluations](https://md.research.elamur.ai/free/en/venues/international-workshop-on-semantic-evaluations/)**Roxana Girju, Preslav Nakov, Vivi Nastase, et al.*2007 · 91 citations*
41. **[Comparing Knowledge Sources for Nominal Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/markert-2005-comparing-knowledge-sources-nominal-anaphora/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Katja Markert, Malvina Nissim*2005 · 82 citations*
42. **[Semantic Class Induction and Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ng-2007-semantic-class-induction-coreference-resolution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vincent Ng*2007 · 72 citations*
43. **[Using the Web in Machine Learning for Other-Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/modjeska-2003-web-machine-learning-other-anaphora/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Natalia N. Modjeska, Katja Markert, Malvina Nissim*2003 · 70 citations*
44. **[Identifying hypernyms in distributional semantic spaces](https://md.research.elamur.ai/free/en/papers/lenci-2012-identifying-hypernyms-distributional-semantic-spaces/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Alessandro Lenci, Giulia Benotto*2012 · 65 citations*
45. **[Coreference Semantics from Web Features](https://md.research.elamur.ai/free/en/papers/bansal-2012-coreference-semantics-web-features/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Bansal, Dan Klein*2012 · 61 citations*
46. **[On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT](https://md.research.elamur.ai/free/en/papers/ravichander-2020-systematicity-probing-contextualized-word-representations/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, et al.*2020 · 55 citations*
47. **[Automatically Tagging Constructions of Causation and Their Slot-Fillers](https://md.research.elamur.ai/free/en/papers/dunietz-2017-automatically-tagging-constructions-causation-their/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jesse Dunietz, Lori Levin, Jaime Carbonell*2017 · 41 citations*
48. **[Reactive Supervision: A New Method for Collecting Sarcasm Data](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Boaz Shmueli, Lun-Wei Ku, Soumya Ray*2020 · 36 citations*
49. **[BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations](https://md.research.elamur.ai/free/en/papers/soler-2020-bert-knows-punta-cana-is/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aina Garí Soler, Marianna Apidianaki*2020 · 30 citations*
50. **[Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data](https://md.research.elamur.ai/free/en/papers/kolhatkar-2013-interpreting-anaphoric-shell-nouns-antecedents/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Varada Kolhatkar, Heike Zinsmeister, Graeme Hirst*2013 · 29 citations*
51. [**SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference**Martin Schmitt, Hinrich Schütze*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-sherliic-typed-event-focused-lexical/)
52. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
53. **[Bridging Resolution: A Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/kobayashi-2020-bridging-resolution-survey-state-art/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hideo Kobayashi, Vincent Ng*2020 · 24 citations*
54. [**Learning Scalar Adjective Intensity from Paraphrases**Anne Cocos, Skyler Wharton, Ellie Pavlick, et al.*2018 · 21 citations*](https://md.research.elamur.ai/free/en/papers/cocos-2018-learning-scalar-adjective-intensity-paraphrases/)
55. **[Predicting scalar diversity with context-driven uncertainty over alternatives](https://md.research.elamur.ai/free/en/papers/hu-2022-predicting-scalar-diversity-context-driven/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Jennifer Hu, Roger Levy, Sebastian Schuster*2022 · 19 citations*
56. [**Taxonomy Tree Generation from Citation Graph arXiv:2410.03761**Yuntong Hu, Zhuofeng Li, Zheng Zhang, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-taxonomy-tree-generation-citation-graph/)
57. **[A Discriminative Analysis of Fine-Grained Semantic Relations including Presupposition: Annotation and Classification](https://md.research.elamur.ai/free/en/papers/tremper-2013-discriminative-analysis-fine-grained-semantic/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Galina Tremper, Anette Frank*2013 · 9 citations*
58. [**SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives**Rashid Nizamani, Sebastian Schuster, Vera Demberg*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/)
59. **[Reference-Free Evaluation of Taxonomies](https://md.research.elamur.ai/free/en/papers/wullschleger-2026-reference-free-evaluation-taxonomies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pascal Wullschleger, Majid Zarharan, Donnacha Daly, et al.*2026 · 1 citation*
60. **[English WordNet Random Walk Pseudo-Corpora](https://md.research.elamur.ai/free/en/papers/klubicka-2020-english-wordnet-random-walk-pseudo/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Filip Klubička, Alfredo Maldonado, Abhijit Mahalunkar, et al.*2020 · 1 citation*
61. **[Patrons sémantiques pour l'extraction de relations entre termes - Application aux comptes rendus radiologiques (Here the title in English)](https://md.research.elamur.ai/free/en/papers/ramadier-2016-patrons-semantiques-pour-l-extraction/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Lionel Ramadier, Mathieu Lafourcade*2016 · 1 citation*
62. **[Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings](https://md.research.elamur.ai/free/en/papers/meisenbacher-2026-building-custom-taxonomy-ai-skills/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Stephen Meisenbacher, Peter Norlander*2026*
63. **[Cross-Modal Taxonomic Generalization in (Vision-) Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-cross-modal-taxonomic-generalization-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.*2026*
64. **[Enhancing Lexical Relation Mining with Structured Sememe Knowledge](https://md.research.elamur.ai/free/en/papers/wang-2026-enhancing-lexical-relation-mining-structured/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hansi Wang, Qiliang Liang, Yue Wang, et al.*2026*
65. **[Towards a Gold Standard for Adjectival Hypernymy: Enriching the Open English WordNet with a Hybrid Approach](https://md.research.elamur.ai/free/en/papers/augello-2026-gold-standard-adjectival-hypernymy-enriching/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lorenzo Augello, John P. McCrae, Marco Passarotti*2026*
66. **[Book Reviews: Early Years in Machine Translation: Memoirs and Biographies of Pioneers edited by W. John Hutchins, Reviewed by Warren J. Plath; Patterns of Text: In Honour of Michael Hoey edited by Mike Scott and Geoff Thompson, Reviewed by Graeme Hirst; Word Frequency Distributions by R. Harald Baayen, Reviewed by Geoffrey Sampson; Data-Driven Techniques in Speech Synthesis edited by R. I. Damper, Reviewed by Thierry Dutoit; Empirical Linguistics by Geoffrey Sampson, Reviewed by Steven Abney; Computational Nonlinear Morphology with Emphasis on Semitic Languages by George Anton Kiraz, Reviewed by Markus Walther](https://md.research.elamur.ai/free/en/papers/anon-2002-book-reviews-early-years-machine/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)***2002*

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