--- title: "Who cites Tamara Sumner — 140 papers of our library" description: "140 papers of the Elamur Research library cite the works of Tamara Sumner, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/tamara-sumner/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tamara-sumner/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Tamara Sumner](https://md.research.elamur.ai/free/en/authors/tamara-sumner/) / cited by # Who cites Tamara Sumner 166 citations of their works from 140 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← Tamara Sumner](https://md.research.elamur.ai/free/en/authors/tamara-sumner/) 1. **[SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Daniel Cer, Mona Diab, Eneko Agirre, et al.*2017 · 1,828 citations* 2. **[SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Eneko Agirre, Carmen Banea, Daniel Cer, et al.*2016 · 826 citations* 3. **[SemEval-2014 Task 10: Multilingual Semantic Textual Similarity](https://md.research.elamur.ai/free/en/papers/agirre-2014-semeval-2014-task-10-multilingual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2014 · 790 citations* 4. [**PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification**Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, et al.*2015 · 415 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/) 5. **[A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Siyu Qiu, Hua He, et al.*2017 · 267 citations* 6. **[EASSE: Easier Automatic Sentence Simplification Evaluation](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al.*2019 · 162 citations* 7. [**Semantic Structural Evaluation for Text Simplification**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 135 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/) 8. **[MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 131 citations* 9. [**Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs**Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, et al.*2017 · 104 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2017-learning-how-simplify-explicit-labeling/) 10. **[The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts](https://md.research.elamur.ai/free/en/papers/demszky-2023-ncte-transcripts-dataset-elementary-math/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Dorottya Demszky, Heather Hill*2023 · 61 citations* 11. [**Towards responsible development of generative AI for education: An evaluation-driven approach**Jurenka*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/jurenka-2024-responsible-development-generative-ai-education/) 12. **[Opportunities and Challenges in Neural Dialog Tutoring](https://md.research.elamur.ai/free/en/papers/macina-2023-opportunities-challenges-neural-dialog-tutoring/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jakub Macina, Nico Daheim, Lingzhi Wang, et al.*2023 · 51 citations* 13. **[Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics Classrooms](https://md.research.elamur.ai/free/en/papers/suresh-2022-fine-tuning-transformers-additional-context/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Abhijit Suresh, Jennifer Jacobs, Margaret Perkoff, et al.*2022 · 46 citations* 14. **[UBC: Cubes for English Semantic Textual Similarity and Supervised Approaches for Interpretable STS](https://md.research.elamur.ai/free/en/papers/agirre-2015-ubc-cubes-english-semantic-textual/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Eneko Agirre, Aitor Gonzalez-Agirre, Iñigo Lopez-Gazpio, et al.*2015 · 10 citations* 15. **[BIPED: Pedagogically Informed Tutoring System for ESL Education](https://md.research.elamur.ai/free/en/papers/kwon-2024-biped-pedagogically-informed-tutoring-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Soonwoo Kwon, Sojung Kim, Minju Park, et al.*2024 · 9 citations* 16. **[Dual Process Masking for Dialogue Act Recognition](https://md.research.elamur.ai/free/en/papers/kim-2024-dual-process-masking-dialogue-act/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yeo Jin Kim, Halim Acosta, Wookhee Min, et al.*2024 · 6 citations* 17. **[Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers](https://md.research.elamur.ai/free/en/papers/kumaran-2023-improving-classroom-dialogue-act-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vikram Kumaran, Jonathan Rowe, Bradford Mott, et al.*2023 · 3 citations* 18. **[SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-sefl-framework-generating-synthetic-educational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mike Zhang, Amalie Pernille Dilling, Léon Gondelman, et al.*2026 · 1 citation* 19. **[Cross-Lingual and Cross-Cultural Transfer of Talk Move Classification to German Science Classrooms](https://md.research.elamur.ai/free/en/papers/wartena-2026-cross-lingual-cross-cultural-transfer/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Christian Wartena, Christian Schumburg, Andreas Nehring, et al.*2026* 20. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026* 120 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/tamara-sumner/) — Tamara Sumner