--- title: "Who cites Exploiting Syntactico-Semantic — 73 citing papers" description: "73 papers of the Elamur Research library cite «Exploiting Syntactico-Semantic Structures for Relation Extraction», found in their…" canonical: "https://research.elamur.ai/free/en/papers/chan-2011-exploiting-syntactico-semantic-structures-relation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/chan-2011-exploiting-syntactico-semantic-structures-relation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Exploiting Syntactico-Semantic Structures for…](https://md.research.elamur.ai/free/en/papers/chan-2011-exploiting-syntactico-semantic-structures-relation/) / cited by # Who cites «Exploiting Syntactico-Semantic Structures for Relation Extraction» 73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Exploiting Syntactico-Semantic Structures for Relation Extraction»](https://md.research.elamur.ai/free/en/papers/chan-2011-exploiting-syntactico-semantic-structures-relation/) 1. **[End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures](https://md.research.elamur.ai/free/en/papers/miwa-2016-end-end-relation-extraction-lstms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Makoto Miwa, Mohit Bansal*2016 · 1,603 citations* 2. **[A Novel Cascade Binary Tagging Framework for Relational Triple Extraction](https://md.research.elamur.ai/free/en/papers/wei-2020-novel-cascade-binary-tagging-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhepei Wei, Jianlin Su, Yue Wang, et al.*2020 · 735 citations* 3. **[Incremental Joint Extraction of Entity Mentions and Relations](https://md.research.elamur.ai/free/en/papers/li-2014-incremental-joint-extraction-entity-mentions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qi Li, Heng Ji*2014 · 648 citations* 4. **[A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zexuan Zhong, Danqi Chen*2020 · 630 citations* 5. **[Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangrong Zeng, Daojian Zeng, Shizhu He, et al.*2018 · 610 citations* 6. **[TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking](https://md.research.elamur.ai/free/en/papers/wang-2020-tplinker-single-stage-joint-extraction/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yucheng Wang, Bowen Yu, Yueyang Zhang, et al.*2020 · 529 citations* 7. **[GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/fu-2019-graphrel-modeling-text-as-relational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma*2019 · 514 citations* 8. **[Entity-Relation Extraction as Multi-Turn Question Answering](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 442 citations* 9. **[A general framework for information extraction using dynamic span graphs](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yi Luan, Dave Wadden, Luheng He, et al.*2019 · 430 citations* 10. **[Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jue Wang, Wei Lu*2020 · 287 citations* 11. **[Relational Inference for Wikification](https://md.research.elamur.ai/free/en/papers/cheng-2013-relational-inference-wikification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiao Cheng, Dan Roth*2013 · 255 citations* 62 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/chan-2011-exploiting-syntactico-semantic-structures-relation/) — Exploiting Syntactico-Semantic Structures for Relation Extraction