---
title: "Who cites Serena Villata — 105 papers of our library"
description: "105 papers of the Elamur Research library cite the works of Serena Villata, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/serena-villata/cited-by/"
---
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# Who cites Serena Villata

110 citations of their works from 105 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← Serena Villata](https://md.research.elamur.ai/free/en/authors/serena-villata/)

1. **[Argument Mining: A Survey](https://md.research.elamur.ai/free/en/papers/lawrence-2019-argument-mining-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**John Lawrence, Chris Reed*2019 · 601 citations*
2. **[Neural Legal Judgment Prediction in English](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-neural-legal-judgment-prediction-english/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras*2019 · 559 citations*
3. **[How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.*2020 · 518 citations*
4. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English arXiv:2110.00976**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 258 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/)
5. **[LexGLUE: A Benchmark Dataset for Legal Language Understanding in English](https://md.research.elamur.ai/free/en/papers/chalkidis-2022-lexglue-benchmark-dataset-legal-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.*2022 · 239 citations*
6. **[LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain](https://md.research.elamur.ai/free/en/papers/niklaus-2023-lextreme-multi-lingual-multi-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joel Niklaus, Veton Matoshi, Pooja Rani, et al.*2023 · 123 citations*
7. **[Unveiling the Implicit Toxicity in Large Language Models](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Wen, Pei Ke, Hao Sun, et al.*2023 · 72 citations*
8. **[Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language](https://md.research.elamur.ai/free/en/papers/chen-2025-pragmatic-inference-chain-pic-improving/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xi Chen, Shuo Wang*2025 · 9 citations*
9. **[From Comments to Harm: A Findings Report on Abusive Tamil Text Targeting Women on Social Media Shared Task](https://md.research.elamur.ai/free/en/papers/sivagnanam-2026-comments-harm-findings-report-abusive/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Bhuvaneswari Sivagnanam, Kathiravan Pannerselvam, Jananayagan, et al.*2026 · 5 citations*
10. **[Antisocial Behavior Prediction: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/ollagnier-2026-antisocial-behavior-prediction-survey-practical/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Anaïs Ollagnier*2026 · 1 citation*
11. **[A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes](https://md.research.elamur.ai/free/en/papers/schouten-2026-position-paper-toxic-reasoning-grounding/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Stefan F. Schouten, Ilia Markov, Piek Vossen*2026*
12. **[HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin*2026*
13. **[The Relevance of Value Systems for Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/wiegand-2026-relevance-value-systems-offensive-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer*2026*
14. **[When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech](https://md.research.elamur.ai/free/en/papers/singhal-2026-when-words-wear-masks-detecting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Priyansh Singhal, Piyush Joshi*2026*

91 more citing papers of our library have no page here yet.

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