🧑‍🔬 Who cites Jan Deriu

181 citations of their works from 154 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Jan Deriu

1. SemEval-2016 Task 4: Sentiment Analysis in TwitterInternational Workshop on Semantic Evaluation (SemEval)Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.2016 · 1,083 citations
2. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmConference on Empirical Methods in Natural Language Processing (EMNLP)Bjarke Felbo, Alan Mislove, Anders Søgaard, et al.2017 · 621 citations
3. DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisInternational Workshop on Semantic Evaluation (SemEval)Christos Baziotis, Nikos Pelekis, Christos Doulkeridis2017 · 588 citations
4. XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and BeyondLanguage Resources and Evaluation Conference (LREC)Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados2022 · 271 citations
5. Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English TextJoint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.2020 · 234 citations
6. Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation CampaignWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.2018 · 170 citations
7. A Sentiment Analysis Dataset for Code-Mixed Malayalam-EnglishJoint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.2020 · 158 citations
8. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
9. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
10. A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining ModelsArabic Natural Language Processing Workshop (WANLP)Ramy Baly, Gilbert Badaro, Georges El-Khoury, et al.2017 · 67 citations
11. Casablanca: Data and Models for Multidialectal Arabic Speech RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, et al.2024 · 45 citations
12. We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on TwitterCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 39 citations
13. INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment AnalysisInternational Workshop on Semantic Evaluation (SemEval)Sabino Miranda-Jiménez, Mario Graff, Eric Sadit Tellez, et al.2017 · 18 citations
14. Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in TokenizationAnnual Meeting of the Association for Computational Linguistics (ACL)Negar Foroutan, Clara Meister, Debjit Paul, et al.2026 · 12 citations
15. A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech TranslationInterspeechVerena Blaschke, Miriam Winkler, Constantin Forster, et al.2025 · 12 citations
16. A Conversational Intelligent Tutoring System for Improving English Proficiency of Non-Native Speakers via Debriefing of Online Meeting TranscriptionsWorkshop on Natural Language Processing for Computer Assisted Language LearningJuan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, et al.2024 · 7 citations
17. Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine TranslationLanguage Resources and Evaluation Conference (LREC)Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, et al.2026 · 3 citations
18. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
19. ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMsInternational Conference on Computational Processing of PortugueseInês Vieira, Inês Calvo, Iago Paulo, et al.2026 · 2 citations
20. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
21. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
22. When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language ModelsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang2026 · 1 citation
23. Are the LLMs Capable of Maintaining at Least the Language Genus?Language Resources and Evaluation Conference (LREC)Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.2026
24. Benchmarking NLP-supported Language Sample Analysis for Swiss Children's SpeechResources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortiumAnja Ryser, Yingqiang Gao, Sarah Ebling2026
25. Can Large Language Models Replace Statistical Software?Edition of the Swiss Text Analytics ConferenceYves Staudt2026
26. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
27. Graph-Augmented LLMs for Swiss MP Ideology PredictionEdition of the Swiss Text Analytics ConferenceYifei Yuan, Luis Salamanca, Sophia Schlosser, et al.2026
28. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
29. LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026
30. Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan NeutralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, et al.2026
31. POS Tagging with Generative LLMs for Historical Germanic Low-Resource Languages: An Evaluation Against Fine-Tuned BERTWorkshop on Language Technologies for Historical and Ancient Languages @ LRECIrene Miani, Gregory Darwin, Sara Stymne2026
32. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
33. Regional Variation in the Performance of ASR Models on Croatian and SerbianWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Tanja Samardžić, Peter Rupnik, Nikola Ljubešić2026
34. Robust Language Identification for Romansh VarietiesEdition of the Swiss Text Analytics ConferenceCharlotte Model, Sina Ahmadi, Jannis Vamvas2026
35. Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER)arXiv:2606.07608Felix Akeret2026
36. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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