Who cites Helmut Schmid
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,375 citations
- Making Pre-trained Language Models Better Few-shot LearnersTianyu Gao, Adam Fisch, Danqi Chen2021 · 1,952 citations
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,548 citations
- Findings of the 2016 Conference on Machine TranslationOndřej Bojar, Rajen Chatterjee, Christian Federmann, et al.2016 · 936 citations
- Factored Translation ModelsPhilipp Koehn, Hieu Hoang2007 · 699 citations
- Farasa: A Fast and Furious Segmenter for ArabicAhmed Abdelali, Kareem Darwish, Nadir Durrani, et al.2016 · 506 citations
- Template-Based Named Entity Recognition Using BARTLeyang Cui, Yu Wu, Jian Liu, et al.2021 · 420 citations
- A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosMichael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 399 citations
- A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency ParsingBernd Bohnet, Joakim Nivre2012 · 364 citations
- Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationShengding Hu, Ning Ding, Huadong Wang, et al.2022 · 360 citations
- RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningMingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 327 citations
- Paraphrasing Revisited with Neural Machine TranslationJonathan Mallinson, Rico Sennrich, Mirella Lapata2017 · 319 citations
- How many data points is a prompt worth?Teven Le Scao, Alexander Rush2021 · 315 citations
- Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich LanguagesDjamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.2013 · 244 citations
- Challenges in Detoxifying Language ModelsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 206 citations
- On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
- The AMARA Corpus: Building Parallel Language Resources for the Educational DomainAhmed Abdelali, Francisco Guzman, Hassan Sajjad, et al.2014 · 165 citations
- BART: A Multilingual Anaphora Resolution SystemSamuel Broscheit, Massimo Poesio, Simone Paolo Ponzetto, et al.2010 · 55 citations
- Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological TaggingNasser Zalmout, Nizar Habash2020 · 44 citations
- POS Tagging for Historical Texts with Sparse Training DataMarcel Bollmann2013 · 32 citations
- Fine-Grain Morphological Analyzer and Part-of-Speech Tagger for Arabic TextMajdi Sawalha, Eric Atwell2010 · 28 citations
- Antecedent Selection Techniques for High-Recall Coreference ResolutionYannick Versley2007 · 27 citations
- Rule-based Coreference Resolution in German Historic NovelsMarkus Krug, Frank Puppe, Fotis Jannidis, et al.2015 · 25 citations
- Prompt Tuning with Contradictory Intentions for Sarcasm RecognitionYiyi Liu, Ruqing Zhang, Yixing Fan, et al.2023 · 24 citations
- Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew CliticsReut Tsarfaty, Yoav Goldberg2008 · 23 citations
- Pseudo Zero Pronoun Resolution Improves Zero Anaphora ResolutionRyuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, et al.2021 · 14 citations
- Probabilistic Modelling of Morphologically Rich LanguagesJan A. Botha2015 · 4 citations
- Cross-Lingual and Cross-Domain Transfer Learning for POS Tagging in Historical Germanic Low-Resource LanguagesIrene Miani, Sara Stymne, Gregory R. Darwin2026 · 3 citations
- Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine LearningHadiana Sliwa, Hossein Hassani2026
- MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left LanguagesFaizad Ullah, Furqan Sikandar, Areeba Waqar, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/authors/helmut-schmid/cited-by/