---
title: "Who cites Extracting Commonsense — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Extracting Commonsense Properties from Embeddings with Limited Human Guidance», found…"
canonical: "https://research.elamur.ai/free/en/papers/yang-2018-extracting-commonsense-properties-embeddings-limited/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yang-2018-extracting-commonsense-properties-embeddings-limited/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Extracting Commonsense Properties from Embeddings…](https://md.research.elamur.ai/free/en/papers/yang-2018-extracting-commonsense-properties-embeddings-limited/) / cited by

# Who cites «Extracting Commonsense Properties from Embeddings with Limited Human Guidance»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Extracting Commonsense Properties from Embeddings with Limited Human Guidance»](https://md.research.elamur.ai/free/en/papers/yang-2018-extracting-commonsense-properties-embeddings-limited/)

1. **[oLMpics — On what Language Model Pre-training Captures](https://md.research.elamur.ai/free/en/papers/talmor-2019-olmpics-language-model-pre-training/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.*2019 · 440 citations*
2. **[Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 352 citations*
3. **[Generative Data Augmentation for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2020-generative-data-augmentation-commonsense-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.*2020 · 198 citations*
4. [**Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches arXiv:1904.01172**Shane Storks, Qiaozi Gao, Joyce Y. Chai*2019 · 135 citations*](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)
5. **[Do Language Embeddings capture Scales?](https://md.research.elamur.ai/free/en/papers/zhang-2020-do-language-embeddings-capture-scales/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xikun Zhang, Deepak Ramachandran, Ian Tenney, et al.*2020 · 75 citations*
6. **[How Pre-trained Word Representations Capture Commonsense Physical Comparisons](https://md.research.elamur.ai/free/en/papers/goel-2019-how-pre-trained-word-representations/) [Workshop on Commonsense Inference in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-commonsense-inference-in-natural-language-processing/)**Pranav Goel, Shi Feng, Jordan Boyd-Graber*2019 · 12 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yang-2018-extracting-commonsense-properties-embeddings-limited/) — Extracting Commonsense Properties from Embeddings with Limited Human Guidance