--- title: "Who cites TextRunner: Open Information Extraction on the Web" description: "73 papers of the Elamur Research library cite «TextRunner: Open Information Extraction on the Web», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/yates-2007-textrunner-open-information-extraction-web/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yates-2007-textrunner-open-information-extraction-web/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [TextRunner: Open Information Extraction on the Web](https://md.research.elamur.ai/free/en/papers/yates-2007-textrunner-open-information-extraction-web/) / cited by # Who cites «TextRunner: Open Information Extraction on the Web» 73 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «TextRunner: Open Information Extraction on the Web»](https://md.research.elamur.ai/free/en/papers/yates-2007-textrunner-open-information-extraction-web/) 1. **[Reasoning With Neural Tensor Networks for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/socher-2013-reasoning-neural-tensor-networks-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Richard Socher, Danqi Chen, Christopher D. Manning, et al.*2013 · 1,810 citations* 2. **[Leveraging Linguistic Structure For Open Domain Information Extraction](https://md.research.elamur.ai/free/en/papers/angeli-2015-leveraging-linguistic-structure-open-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning*2015 · 923 citations* 3. [**Ask Me Anything: Dynamic Memory Networks for Natural Language Processing arXiv:1506.07285**Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al.*2015 · 801 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2015-ask-me-anything-dynamic-memory/) 4. [**Annotated Gigaword Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)**Courtney Napoles, Matthew Gormley, Benjamin Van Durme*2012 · 164 citations*](https://md.research.elamur.ai/free/en/papers/napoles-2012-annotated-gigaword/) 5. **[NaturalLI: Natural Logic Inference for Common Sense Reasoning](https://md.research.elamur.ai/free/en/papers/angeli-2014-naturalli-natural-logic-inference-common/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabor Angeli, Christopher D. Manning*2014 · 150 citations* 6. **[Crawling the Internal Knowledge-Base of Language Models](https://md.research.elamur.ai/free/en/papers/cohen-2023-crawling-internal-knowledge-base-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Roi Cohen, Mor Geva, Jonathan Berant, et al.*2023 · 67 citations* 7. [**A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models arXiv:2501.13958**Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-graph-retrieval-augmented-generation/) 8. **[Coreference in Wikipedia: Main Concept Resolution](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations* 9. [**ArNLI: Arabic Natural Language Inference for Entailment and Contradiction Detection arXiv:2209.13953 · (2023) Computer Science, 24(2)**Khloud Al Jallad, Nada Ghneim*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/jallad-2022-arnli-arabic-natural-language-inference/) 10. **[Improving Information Extraction from Wikipedia Texts using Basic English](https://md.research.elamur.ai/free/en/papers/ferreira-2016-improving-information-extraction-wikipedia-texts/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Teresa Rodríguez-Ferreira, Adrián Rabadán, Raquel Hervás, et al.*2016 · 4 citations* 11. **[Benchmarking Portuguese Open Information Extraction](https://md.research.elamur.ai/free/en/papers/silva-2026-benchmarking-portuguese-open-information-extraction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Gabriel Silva, Mário Rodrigues, António Teixeira, et al.*2026* 12. **[Lingua-Graph: A Unified Representation of Cross-Task Common Substructures for Analytic Language Processing](https://md.research.elamur.ai/free/en/papers/sun-2026-lingua-graph-unified-representation-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingming Sun, Runze Jiang, Zhu Zhangchenxi, et al.*2026* 61 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/yates-2007-textrunner-open-information-extraction-web/) — TextRunner: Open Information Extraction on the Web