---
title: "Who cites Overcoming Language Variation — 37 citing papers"
description: "37 papers of the Elamur Research library cite «Overcoming Language Variation in Sentiment Analysis with Social Attention», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/yang-2017-overcoming-language-variation-sentiment-analysis/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Overcoming Language Variation in Sentiment…](https://md.research.elamur.ai/free/en/papers/yang-2017-overcoming-language-variation-sentiment-analysis/) / cited by

# Who cites «Overcoming Language Variation in Sentiment Analysis with Social Attention»

37 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Overcoming Language Variation in Sentiment Analysis with Social Attention»](https://md.research.elamur.ai/free/en/papers/yang-2017-overcoming-language-variation-sentiment-analysis/)

1. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 238 citations*
2. **[Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/) [Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)](https://md.research.elamur.ai/free/en/venues/sltu/)**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*
3. [**Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words**Valentin, Hofmann*2021 · 102 citations*](https://md.research.elamur.ai/free/en/papers/hofmann-2021-superbizarre-derivational/)
4. **[Characterizing English Variation across Social Media Communities with BERT](https://md.research.elamur.ai/free/en/papers/lucy-2021-characterizing-english-variation-across-social/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Li Lucy, David Bamman*2021 · 57 citations*
5. **[Enabling Deep Learning of Emotion With First-Person Seed Expressions](https://md.research.elamur.ai/free/en/papers/alhuzali-2018-enabling-deep-learning-emotion-first/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle Ungar*2018 · 41 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yang-2017-overcoming-language-variation-sentiment-analysis/) — Overcoming Language Variation in Sentiment Analysis with Social Attention