Who cites «Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study»

24 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic — 2026 · Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script
2. Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexicon — 2025 · COLING 2025 (Abu Dhabi)
3. ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task — 2024 · Proceedings of the Second Arabic Natural Language Processing Conference
4. DRU at WojoodNER 2024: ICL LLM for Arabic NER — 2024 · Proceedings of the Second Arabic Natural Language Processing Conference
5. On the importance of Data Scale in Pretraining Arabic Language Models — 2024 · arXiv:2401.07760
6. ORCA: A Challenging Benchmark for Arabic Language Understanding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
7. SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks — 2023 · Proceedings of ArabicNLP 2023
8. Fixed Similes: Measuring aspects of the relation between MWE idiomatic semantics and syntactic flexibility — 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
9. Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus — 2018 · arXiv:1809.03891
10. Critical Survey of the Freely Available Arabic Corpora — 2017 · arXiv:1702.07835
11. Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions — 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
12. A Corpus of Preposition Supersenses — our card · 2016 · Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016)
13. Inconsistency Detection in Semantic Annotation — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
14. SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM) — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
15. Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization — 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
16. The SemDaX Corpus \textemdash Sense Annotations with Scalable Sense Inventories — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
17. WHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models — 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
18. A Corpus and Model Integrating Multiword Expressions and Supersenses — our card · 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
19. A Hierarchy with, of, and for Preposition Supersenses — our card · 2015 · Proceedings of the 9th Linguistic Annotation Workshop
20. Supersense tagging for Danish — 2015 · Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)
21. A Survey of WordNet Annotated Corpora — 2014 · Proceedings of the Seventh Global Wordnet Conference
22. Augmenting English Adjective Senses with Supersenses — 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
23. More or less supervised supersense tagging of Twitter — 2014 · Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014)
24. Supersense Tagging for Arabic: the MT-in-the-Middle Attack — 2013 · Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies