--- title: "Who cites emoji2vec: Learning Emoji — 69 citing papers" description: "69 papers of the Elamur Research library cite «emoji2vec: Learning Emoji Representations from their Description», found in their…" canonical: "https://research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [emoji2vec: Learning Emoji Representations from…](https://md.research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/) / cited by # Who cites «emoji2vec: Learning Emoji Representations from their Description» 69 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «emoji2vec: Learning Emoji Representations from their Description»](https://md.research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/) 1. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,703 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/) **[Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm](https://md.research.elamur.ai/free/en/papers/felbo-2017-millions-emoji-occurrences-learn-any/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bjarke Felbo, Alan Mislove, Anders Søgaard, et al.*2017 · 621 citations* **[SemEval 2018 Task 2: Multilingual Emoji Prediction](https://md.research.elamur.ai/free/en/papers/barbieri-2018-semeval-2018-task-2-multilingual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, et al.*2018 · 204 citations* **[NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation](https://md.research.elamur.ai/free/en/papers/dhole-2023-nl-augmenter-framework-task-sensitive/) [Northern European Journal of Language Technology](https://md.research.elamur.ai/free/en/venues/northern-european-journal-of-language-technology/)**Kaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.*2023 · 85 citations* **[Sarcasm Detection Using an Ensemble Approach](https://md.research.elamur.ai/free/en/papers/lemmens-2020-sarcasm-detection-ensemble-approach/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Jens Lemmens, Ben Burtenshaw, Ehsan Lotfi, et al.*2020 · 56 citations* [**Evaluating Word Embeddings on Low-Resource Languages**Nathan Stringham, Mike Izbicki*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/stringham-2020-evaluating-word-embeddings-low-resource/) **[WANLP 2021 Shared-Task: Towards Irony and Sentiment Detection in Arabic Tweets using Multi-headed-LSTM-CNN-GRU and MaRBERT](https://md.research.elamur.ai/free/en/papers/salam-2021-wanlp-2021-shared-task-irony/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem Abdel-Salam*2021 · 5 citations* [**Computational Sarcasm Analysis on Social Media: A Systematic Review arXiv:2209.06170**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kader-2022-computational-sarcasm-analysis-social-media/) **[Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection](https://md.research.elamur.ai/free/en/papers/san-2018-random-decision-syntax-trees-semeval/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Aidan San*2018 · 2 citations* 60 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/eisner-2016-emoji2vec-learning-emoji-representations-their/) — emoji2vec: Learning Emoji Representations from their Description