---
title: "Who cites Encoding Prior Knowledge with — 15 citing papers"
description: "15 papers of the Elamur Research library cite «Encoding Prior Knowledge with Eigenword Embeddings», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/osborne-2016-encoding-prior-knowledge-eigenword-embeddings/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/osborne-2016-encoding-prior-knowledge-eigenword-embeddings/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Encoding Prior Knowledge with Eigenword Embeddings](https://md.research.elamur.ai/free/en/papers/osborne-2016-encoding-prior-knowledge-eigenword-embeddings/) / cited by

# Who cites «Encoding Prior Knowledge with Eigenword Embeddings»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Encoding Prior Knowledge with Eigenword Embeddings»](https://md.research.elamur.ai/free/en/papers/osborne-2016-encoding-prior-knowledge-eigenword-embeddings/)

1. **[Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints](https://md.research.elamur.ai/free/en/papers/mrksic-2017-semantic-specialization-distributional-word-vector/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.*2017 · 236 citations*
2. **[Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ponti-2019-modeling-language-variation-universals-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, et al.*2019 · 219 citations*
3. **[Specialising Word Vectors for Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2018-specialising-word-vectors-lexical-entailment/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Vulić, Nikola Mrkšić*2018 · 160 citations*

12 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/osborne-2016-encoding-prior-knowledge-eigenword-embeddings/) — Encoding Prior Knowledge with Eigenword Embeddings