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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

SemEval 2018 Task 2: Multilingual Emoji Prediction
Francesco Barbieri, José Camacho-Collados, Francesco Ronzano, et al.
(2018)
Open Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, José Camacho-Collados, Luis Espinosa-Anke, et al.
(2020)
Open Access | Times Cited: 462
Text‐based emotion detection: Advances, challenges, and opportunities
Francisca Adoma Acheampong, Wenyu Chen, Henry Nunoo‐Mensah
Engineering Reports (2020) Vol. 2, Iss. 7
Open Access | Times Cited: 276
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.
(2022)
Open Access | Times Cited: 154
A survey on deep learning for textual emotion analysis in social networks
Sancheng Peng, Lihong Cao, Yongmei Zhou, et al.
Digital Communications and Networks (2021) Vol. 8, Iss. 5, pp. 745-762
Open Access | Times Cited: 129
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, et al.
(2022)
Open Access | Times Cited: 67
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Xinyang Zhang, Yury Malkov, Omar U. Florez, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5597-5607
Open Access | Times Cited: 27
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Kris Korrel, Dieuwke Hupkes, Verna Dankers, et al.
(2019)
Open Access | Times Cited: 67
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
Minje Choi, Jiaxin Pei, Sagar Kumar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 19
CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
Rabindra Lamsal, Maria A. Rodriguez, Shanika Karunasekera
Knowledge-Based Systems (2024) Vol. 296, pp. 111916-111916
Open Access | Times Cited: 7
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 26
Interpretable Emoji Prediction via Label-Wise Attention LSTMs
Francesco Barbieri, Luis Espinosa-Anke, José Camacho-Collados, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018), pp. 4766-4771
Open Access | Times Cited: 42
XLM-T: A Multilingual Language Model Toolkit for Twitter.
Francesco Barbieri, Luis Espinosa-Anke, José Camacho-Collados
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 32
Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction
Çağrı Çöltekin, Taraka Rama
(2018), pp. 34-38
Open Access | Times Cited: 36
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification
Jeremy Barnes, Lilja Øvrelid, Erik Velldal
(2019), pp. 12-23
Open Access | Times Cited: 31
Multilingual emoji prediction using BERT for sentiment analysis
Toshiki Tomihira, Atsushi Otsuka, Akihiro Yamashita, et al.
International Journal of Web Information Systems (2020) Vol. 16, Iss. 3, pp. 265-280
Closed Access | Times Cited: 30
Tweet Emoji Prediction Using Hierarchical Model with Attention
Chuhan Wu, Fangzhao Wu, Sixing Wu, et al.
(2018)
Closed Access | Times Cited: 29
Deep Broad Learning for Emotion Classification in Textual Conversations
Sancheng Peng, Rong Zeng, Hongzhan Liu, et al.
Tsinghua Science & Technology (2023) Vol. 29, Iss. 2, pp. 481-491
Open Access | Times Cited: 8
Evalita 2018: Overview on the 6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian
Tommaso Caselli, Viviana Patti, Nicole Novielli, et al.
Accademia University Press eBooks (2018), pp. 3-8
Open Access | Times Cited: 25
Emoji Prediction for Hebrew Political Domain
Chaya Liebeskind, Shmuel Liebeskind
(2019), pp. 468-477
Closed Access | Times Cited: 23
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification
Aleksandra Edwards, José Camacho-Collados, Hélène de Ribaupierre, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 23
Exploiting Emojis in Sentiment Analysis: A Survey
Vandita Grover
Journal of The Institution of Engineers (India) Series B (2021) Vol. 103, Iss. 1, pp. 259-272
Closed Access | Times Cited: 20
Early and Late Fusion of Emojis and Text to Enhance Opinion Mining
Sadam Al-Azani, El-Sayed M. El-Alfy
IEEE Access (2021) Vol. 9, pp. 121031-121045
Open Access | Times Cited: 19
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Xisen Jin, Dejiao Zhang, Henghui Zhu, et al.
(2022), pp. 1-16
Open Access | Times Cited: 14
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, et al.
(2023), pp. 788-806
Open Access | Times Cited: 8
Where to start? Analyzing the potential value of intermediate models
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1446-1470
Open Access | Times Cited: 7
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