[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/onto-2017-dasigi-ontology-aware-token-embeddings-prepositional/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Ontology-Aware Token Embeddings for Prepositional Phrase Attachment»

# Who cites «Ontology-Aware Token Embeddings for Prepositional Phrase Attachment»

11 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/onto-2017-dasigi-ontology-aware-token-embeddings-prepositional/)

1. [The Validity of Coreference-based Evaluations of Natural Language Understanding](https://arxiv.org/abs/2602.16200) *— 2026 · arXiv:2602.16200*
2. [Can LLMs Disambiguate Grounded Language? The Case of PP Attachment](https://aclanthology.org/2025.ranlp-1.20/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
3. [Modeling Event Plausibility with Consistent Conceptual Abstraction](https://aclanthology.org/2021.naacl-main.138/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
4. [Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2021-ratnaparkhi-resolving-prepositional-phrase-attachment-ambiguities/) *— our card · 2021*
5. [Using Multi-Sense Vector Embeddings for Reverse Dictionaries](https://aclanthology.org/W19-0421/) *— 2019 · Proceedings of the 13th International Conference on Computational Semantics - Long Papers*
6. [Embedding Syntax and Semantics of Prepositions via Tensor Decomposition](https://aclanthology.org/N18-1082/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
7. [Large-scale Cloze Test Dataset Created by Teachers](https://aclanthology.org/D18-1257/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
8. [Predicting the Argumenthood of English Prepositional Phrases](https://arxiv.org/abs/1809.07889) *— 2018 · arXiv:1809.07889*
9. [Correcting prepositional phrase attachments using multimodal corpora](https://aclanthology.org/W17-6311/) *— 2017 · Proceedings of the 15th International Conference on Parsing Technologies*
10. delecraz-2018-correction-automatique-d-attachements-prepositionnels
11. do-2020-parsers-know-best-german-pp
- [← previous Who cites «Finding Predominant Word Senses in Untagged Text» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/onto-2004-mccarthy-finding-predominant-word-senses-untagged-2/)
- [next → Who cites «PP Attachment: Where do We Stand?»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/onto-2017-kok-pp-attachment-where-do-we/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)