---
title: "Who cites Marc Verhagen — 165 papers of our library"
description: "165 papers of the Elamur Research library cite the works of Marc Verhagen, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/marc-verhagen/cited-by/"
---
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# Who cites Marc Verhagen

215 citations of their works from 165 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← Marc Verhagen](https://md.research.elamur.ai/free/en/authors/marc-verhagen/)

1. [**Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks**Jason Weston, Antoine Bordes, Sumit Chopra, et al.*2015 · 555 citations*](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)
2. **[SemEval-2016 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 265 citations*
3. **[SemEval-2017 Task 12: Clinical TempEval](https://md.research.elamur.ai/free/en/papers/bethard-2017-semeval-2017-task-12-clinical/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Steven Bethard, Guergana Savova, Martha Palmer, et al.*2017 · 177 citations*
4. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*2020 · 152 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
5. **[CogCompTime: A Tool for Understanding Time in Natural Language](https://md.research.elamur.ai/free/en/papers/ning-2018-cogcomptime-tool-understanding-time-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qiang Ning, Ben Zhou, Zhili Feng, et al.*2018 · 93 citations*
6. **[Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture](https://md.research.elamur.ai/free/en/papers/meng-2017-temporal-information-extraction-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanliang Meng, Anna Rumshisky, Alexey Romanov*2017 · 86 citations*
7. [**Revisiting the ISO standard for dialogue act annotation**Harry Bunt, Volha Petukhova, Alex Chengyu Fang*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2017-revisiting-iso-standard-dialogue-act/)
8. [**Timo: Towards Better Temporal Reasoning for Language Models arXiv:2406.14192**Zhaochen Su, Jun Zhang, Tong Zhu, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/su-2024-timo-towards-better-temporal-reasoning/)
9. **[A Dataset of Psychiatric Hospital Notes with Temporal Information Annotations](https://md.research.elamur.ai/free/en/papers/miller-2026-dataset-psychiatric-hospital-notes-temporal/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Timothy A. Miller, Gaby Dinh, David Harris, et al.*2026*
10. **[Developing the German Medical Text Corpus (GeMTeX): Legal Compliance and Semantic Enrichment](https://md.research.elamur.ai/free/en/papers/hofenbitzer-2026-developing-german-medical-text-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Justin Hofenbitzer, Christina Lohr, Andrea Riedel, et al.*2026*
11. **[Tarikhi: Arabic Temporal Information Extraction from Arabic Historical Documents](https://md.research.elamur.ai/free/en/papers/abdo-2026-tarikhi-arabic-temporal-information-extraction/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Qusay Abdo, Serin Atiani, Tariq Sraiji, et al.*2026*
12. **[Visual Representations of Temporal Relations between Events and Time Expressions in News Stories](https://md.research.elamur.ai/free/en/papers/amorim-2025-visual-representations-temporal-relations-between/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Evelin Amorim, António Leal, Nana Yu, et al.*2025*

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

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