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# Who cites «WordNet: A Lexical Database for English» · page 4

2080 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/lex-1994-miller-wordnet/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-3/) · **4** · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lex-1994-miller-wordnet-21/)

1. [Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation](https://arxiv.org/abs/2203.15319) *— 2022 · arXiv:2203.15319*
2. [Can Pre-trained Language Models Interpret Similes as Smart as Human?](https://aclanthology.org/2022.acl-long.543/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Case-Based Abductive Natural Language Inference](https://aclanthology.org/2022.coling-1.134/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
4. [CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment](https://aclanthology.org/2022.acl-short.92/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [ComFact: A Benchmark for Linking Contextual Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.120/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
6. [Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding](https://aclanthology.org/2022.findings-acl.54/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
7. [Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs](https://aclanthology.org/2022.textgraphs-1.2/) *— 2022 · Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing*
8. [Demystifying Prompts in Language Models via Perplexity Estimation](https://arxiv.org/abs/2212.04037) *— 2022 · arXiv:2212.04037*
9. [Discourse Cohesion Evaluation for Document-Level Neural Machine Translation](https://arxiv.org/abs/2208.09118) *— 2022 · arXiv:2208.09118*
10. [Discovering Differences in the Representation of People using Contextualized Semantic Axes](https://aclanthology.org/2022.emnlp-main.228/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
11. [Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents](https://aclanthology.org/2022.findings-acl.287/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
12. [Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge](https://aclanthology.org/2022.naacl-main.337/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
13. [Effective Data Augmentation for Sentence Classification Using One VAE per Class](https://aclanthology.org/2022.coling-1.305/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
14. [Enhancing Tabular Reasoning with Pattern Exploiting Training](https://aclanthology.org/2022.aacl-main.54/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
15. [Enriching Deep Learning with Frame Semantics for Empathy Classification in Medical Narrative Essays](https://aclanthology.org/2022.louhi-1.23/) *— 2022 · Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)*
16. [Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark](https://aclanthology.org/2022.tacl-1.62/) *— 2022 · Transactions of the Association for Computational Linguistics*
17. [Explaining Dialogue Evaluation Metrics using Adversarial Behavioral Analysis](https://aclanthology.org/2022.naacl-main.430/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
18. [Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning](https://aclanthology.org/2022.acl-long.85/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Generating Artificial Texts as Substitution or Complement of Training Data](https://aclanthology.org/2022.lrec-1.453/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
20. [GlossReader at LSCDiscovery: Train to Select a Proper Gloss in English – Discover Lexical Semantic Change in Spanish](https://aclanthology.org/2022.lchange-1.22/) *— 2022 · Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change*
21. [Homonymy Information for English WordNet](https://aclanthology.org/2022.gwll-1.13/) *— 2022 · Proceedings of Globalex Workshop on Linked Lexicography within the 13th Language Resources and Evaluation Conference*
22. [Identifying Physical Object Use in Sentences](https://aclanthology.org/2022.emnlp-main.781/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models](https://aclanthology.org/2022.findings-naacl.130/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
24. [Improving HowNet-Based Chinese Word Sense Disambiguation with Translations](https://aclanthology.org/2022.findings-emnlp.331/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
25. [Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion](https://aclanthology.org/2022.findings-emnlp.4/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
26. [Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning](https://aclanthology.org/2022.findings-emnlp.520/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
27. [Joint Language Semantic and Structure Embedding for Knowledge Graph Completion](https://aclanthology.org/2022.coling-1.171/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
28. [KALA: Knowledge-Augmented Language Model Adaptation](https://aclanthology.org/2022.naacl-main.379/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
29. [KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models](https://aclanthology.org/2022.emnlp-demos.34/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
30. [Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy](https://aclanthology.org/2022.findings-acl.91/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
31. [Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection](https://aclanthology.org/2022.findings-emnlp.467/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
32. [Large Scale Substitution-based Word Sense Induction](https://md.mova.elamur.ai/free/en/docs/papers/lex-2022-eyal-substitution-wsi/) *— our card · 2022 · ACL 2022 (Dublin)*
33. [Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference](https://aclanthology.org/2022.findings-emnlp.351/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
34. [Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer](https://aclanthology.org/2022.acl-long.196/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Leveraging a Bilingual Dictionary to Learn Wolastoqey Word Representations](https://aclanthology.org/2022.lrec-1.124/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
36. [LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution](https://aclanthology.org/2022.acl-long.87/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation](https://aclanthology.org/2022.findings-emnlp.96/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
38. [Making a Semantic Event-type Ontology Multilingual](https://aclanthology.org/2022.lrec-1.142/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
39. [Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction](https://aclanthology.org/2022.findings-emnlp.332/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
40. [Mass-Editing Memory in a Transformer](https://arxiv.org/abs/2210.07229) *— 2022 · arXiv:2210.07229*
41. [Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models](https://aclanthology.org/2022.findings-acl.137/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
42. [Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning Optimization](https://aclanthology.org/2022.lrec-1.45/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
43. [Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning](https://aclanthology.org/2022.naacl-main.163/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network](https://aclanthology.org/2022.acl-long.124/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Multi-lingual Evaluation of Code Generation Models](https://arxiv.org/abs/2210.14868) *— 2022 · arXiv:2210.14868*
46. [MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)](https://aclanthology.org/2022.findings-naacl.60/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
47. [Multilingual Pragmaticon: Database of Discourse Formulae](https://aclanthology.org/2022.lrec-1.355/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
48. [Narrative Detection and Feature Analysis in Online Health Communities](https://aclanthology.org/2022.wnu-1.7/) *— 2022 · Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)*
49. [Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora](https://aclanthology.org/2022.coling-1.592/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
50. [Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification](https://aclanthology.org/2022.emnlp-main.411/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
51. [On the Evaluation Metrics for Paraphrase Generation](https://aclanthology.org/2022.emnlp-main.208/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
52. [PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling](https://aclanthology.org/2022.coling-1.473/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
53. [Paraphrase Identification with Deep Learning: A Review of Datasets and Methods](https://arxiv.org/abs/2212.06933) *— 2022 · arXiv:2212.06933*
54. [Paraphrasing, textual entailment, and semantic similarity above word level](https://arxiv.org/abs/2208.05387) *— 2022 · arXiv:2208.05387*
55. [Predicting Difficulty and Discrimination of Natural Language Questions](https://aclanthology.org/2022.acl-short.15/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
56. [Privacy Pitfalls of Online Service Terms and Conditions: a Hybrid Approach for Classification and Summarization](https://aclanthology.org/2022.nllp-1.6/) *— 2022 · Proceedings of the Natural Legal Language Processing Workshop 2022*
57. [Probing Relational Knowledge in Language Models via Word Analogies](https://aclanthology.org/2022.findings-emnlp.289/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
58. [Probing Simile Knowledge from Pre-trained Language Models](https://aclanthology.org/2022.acl-long.404/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Prompt-free and Efficient Few-shot Learning with Language Models](https://aclanthology.org/2022.acl-long.254/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [ProoFVer: Natural Logic Theorem Proving for Fact Verification](https://aclanthology.org/2022.tacl-1.59/) *— 2022 · Transactions of the Association for Computational Linguistics*
61. [Putting WordNet''s Dictionary Examples in the Context of Definition Modelling: An Empirical Analysis](https://aclanthology.org/2022.cogalex-1.6/) *— 2022 · Proceedings of the Workshop on Cognitive Aspects of the Lexicon*
62. [QASem Parsing: Text-to-text Modeling of QA-based Semantics](https://aclanthology.org/2022.emnlp-main.528/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
63. [QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance](https://aclanthology.org/2022.emnlp-main.37/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
64. [RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space](https://aclanthology.org/2022.coling-1.436/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
65. [RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion](https://aclanthology.org/2022.acl-long.402/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [RuDSI: Graph-based Word Sense Induction Dataset for Russian](https://aclanthology.org/2022.textgraphs-1.9/) *— 2022 · Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing*
67. [SKILL: Structured Knowledge Infusion for Large Language Models](https://aclanthology.org/2022.naacl-main.113/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
68. [Saliency as Evidence: Event Detection with Trigger Saliency Attribution](https://aclanthology.org/2022.acl-long.313/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [SemAttack: Natural Textual Attacks via Different Semantic Spaces](https://aclanthology.org/2022.findings-naacl.14/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
70. [SemEval-2022 Task 4: Patronizing and Condescending Language Detection](https://aclanthology.org/2022.semeval-1.38/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
71. [Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph](https://aclanthology.org/2022.coling-1.135/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
72. [Semantic properties of English nominal pluralization: Insights from word embeddings](https://md.mova.elamur.ai/free/en/docs/papers/shafaei-2022-bajestan-semantic-properties-english-nominal-pluralization/) *— our card · 2022 · arXiv:2203.15424*
73. [SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings](https://aclanthology.org/2022.findings-emnlp.338/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
74. [SentSpace: Large-Scale Benchmarking and Evaluation of Text using Cognitively Motivated Lexical, Syntactic, and Semantic Features](https://aclanthology.org/2022.naacl-demo.11/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations*
75. [Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation](https://aclanthology.org/2022.acl-long.530/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models](https://aclanthology.org/2022.acl-long.295/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions](https://aclanthology.org/2022.acl-long.554/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [Subword-Delimited Downsampling for Better Character-Level Translation](https://aclanthology.org/2022.findings-emnlp.69/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
79. [Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity](https://aclanthology.org/2022.naacl-main.386/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
80. [Syntax-driven Data Augmentation for Named Entity Recognition](https://aclanthology.org/2022.pandl-1.7/) *— 2022 · Proceedings of the First Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning*
81. [Systematicity in GPT-3's Interpretation of Novel English Noun Compounds](https://aclanthology.org/2022.findings-emnlp.50/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
82. [TRAttack: Text Rewriting Attack Against Text Retrieval](https://aclanthology.org/2022.repl4nlp-1.20/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
83. [TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media](https://aclanthology.org/2022.coling-1.296/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
84. [Text Characterization Toolkit (TCT)](https://aclanthology.org/2022.aacl-demo.9/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations*
85. [The Limits of Word Level Differential Privacy](https://aclanthology.org/2022.findings-naacl.65/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
86. [The Secret of Metaphor on Expressing Stronger Emotion](https://aclanthology.org/2022.flp-1.6/) *— 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)*
87. [Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders](https://aclanthology.org/2022.coling-1.361/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
88. [Trans-KBLSTM: An External Knowledge Enhanced Transformer BiLSTM Model for Tabular Reasoning](https://aclanthology.org/2022.deelio-1.7/) *— 2022 · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
89. [Transfer Learning for Humor Detection by Twin Masked Yellow Muppets](https://aclanthology.org/2022.aacl-short.1/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
90. [Transparent Human Evaluation for Image Captioning](https://aclanthology.org/2022.naacl-main.254/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [UAlberta at LSCDiscovery: Lexical Semantic Change Detection via Word Sense Disambiguation](https://aclanthology.org/2022.lchange-1.19/) *— 2022 · Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change*
92. [Uncovering Values: Detecting Latent Moral Content from Natural Language with Explainable and Non-Trained Methods](https://aclanthology.org/2022.deelio-1.4/) *— 2022 · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
93. [Unsupervised Natural Language Inference Using PHL Triplet Generation](https://aclanthology.org/2022.findings-acl.159/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
94. [Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship](https://aclanthology.org/2022.lrec-1.299/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
95. [What Makes Data-to-Text Generation Hard for Pretrained Language Models?](https://aclanthology.org/2022.gem-1.50/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
96. [WiC = TSV = WSD: On the Equivalence of Three Semantic Tasks](https://aclanthology.org/2022.naacl-main.178/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
97. [WordNet-QU: Development of a Lexical Database for Quechua Varieties](https://aclanthology.org/2022.coling-1.390/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
98. [WordTies: Measuring Word Associations in Language Models via Constrained Sampling](https://aclanthology.org/2022.findings-emnlp.440/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
99. [视觉语言预训练综述](https://jos.org.cn/jos/article/abstract/6774) *— 2022 · 软件学报 (Journal of Software)*
100. [A Computational Exploration of Pejorative Language in Social Media](https://aclanthology.org/2021.findings-emnlp.296/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*

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