| Automatic Text Scoring using Neural Networks D Alikaniotis, H Yannakoudakis, M Rei ACL-2016, 2016 | 322 | 2016 |
| The entropy of words—Learnability and expressivity across more than 1000 languages C Bentz, D Alikaniotis, M Cysouw, R Ferrer-i-Cancho Entropy 19 (6), 275, 2017 | 131 | 2017 |
| The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction D Alikaniotis, R Vipul Proceedings of the 14th Workshop on Innovative Use of NLP for Building …, 2019 | 37 | 2019 |
| Variation in word frequency distributions: Definitions, measures and implications for a corpus-based language typology C Bentz, D Alikaniotis, T Samardžić, P Buttery Journal of Quantitative Linguistics, 0 | 25* | |
| The word entropy of natural languages C Bentz, D Alikaniotis arXiv preprint arXiv:1606.06996, 2016 | 21 | 2016 |
| Predicting author age from Weibo microblog posts W Zhang, A Caines, D Alikaniotis, P Buttery Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 13 | 2016 |
| Adversarial grammatical error correction V Raheja, D Alikaniotis arXiv preprint arXiv:2010.02407, 2020 | 11 | 2020 |
| The Glottolog Data Explorer: Mapping the world's languages A Caines, C Bentz, D Alikaniotis, F Katushemererwe, P Buttery Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 7 | 2016 |
| Large language models are inconsistent and biased evaluators R Stureborg, D Alikaniotis, Y Suhara arXiv preprint arXiv:2405.01724, 2024 | 3 | 2024 |
| Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics R Stureborg, D Alikaniotis, Y Suhara Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 1 | 2024 |
| mEdIT: Multilingual Text Editing via Instruction Tuning V Raheja, D Alikaniotis, V Kulkarni, B Alhafni, D Kumar arXiv preprint arXiv:2402.16472, 2024 | 1 | 2024 |
| Automatic prediction of important content R Khlystik, K Singh, D Alikaniotis, J Vandamme US Patent 11,853,687, 2023 | 1 | 2023 |
| A distributional semantics approach to implicit language learning D Alikaniotis, JN Williams arXiv preprint arXiv:1606.09058, 2016 | 1 | 2016 |
| Your Large Language Models Are Leaving Fingerprints H McGovern, R Stureborg, Y Suhara, D Alikaniotis arXiv preprint arXiv:2405.14057, 2024 | | 2024 |
| Source Identification in Abstractive Summarization Y Suhara, D Alikaniotis arXiv preprint arXiv:2402.04677, 2024 | | 2024 |
| Real-time tone feedback in video conferencing V Raheja, D Alikaniotis US Patent 11,894,941, 2024 | | 2024 |
| Detecting the tone of text D Alikaniotis, S Levental, A Shevchenko US Patent 11,763,085, 2023 | | 2023 |
| Understanding Semantic Implicit Learning through distributional linguistic patterns: A computational perspective D Alikaniotis | | 2019 |
| Limitations of Large Language Models as Automatic Evaluators R Stureborg, D Alikaniotis, Y Suhara | | |
| Semantic Constraints in Implicit Language Learning D Alikaniotis, J Williams | | |
Christian BentzUniversity of Passau, Chair of Multilingual Computational Linguistics在 christianbentz.de 的电子邮件经过验证
