--- title: "Who cites Yee Seng Chan" description: "342 papers of the Elamur Research library cite the works of Yee Seng Chan, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/yee-seng-chan/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yee-seng-chan/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yee Seng Chan](https://md.research.elamur.ai/free/en/authors/yee-seng-chan/) / cited by # Who cites Yee Seng Chan 363 citations of their works from 342 papers of our library (of the 140,884 whose bibliographies we read) · 20 with a page here, the most cited first · [← Yee Seng Chan](https://md.research.elamur.ai/free/en/authors/yee-seng-chan/) 1. [**End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures**Makoto Miwa, Mohit Bansal*2016 · 1,596 citations*](https://md.research.elamur.ai/free/en/papers/miwa-2016-end-end-relation-extraction-lstms/) 2. [**A Novel Cascade Binary Tagging Framework for Relational Triple Extraction**Zhepei Wei, Jianlin Su, Yue Wang, et al.*2020 · 732 citations*](https://md.research.elamur.ai/free/en/papers/wei-2020-novel-cascade-binary-tagging-framework/) 3. [**Incremental Joint Extraction of Entity Mentions and Relations**Qi Li, Heng Ji*2014 · 646 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-incremental-joint-extraction-entity-mentions/) 4. [**A Frustratingly Easy Approach for Entity and Relation Extraction**Zexuan Zhong, Danqi Chen*2020 · 629 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) 5. [**Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism**Xiangrong Zeng, Daojian Zeng, Shizhu He, et al.*2018 · 607 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) 6. [**TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking**Yucheng Wang, Bowen Yu, Yueyang Zhang, et al.*2020 · 527 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-tplinker-single-stage-joint-extraction/) 7. [**Improving Statistical Machine Translation Using Word Sense Disambiguation**Marine Carpuat, Dekai Wu*2007 · 505 citations*](https://md.research.elamur.ai/free/en/papers/carpuat-2007-improving-statistical-machine-translation-word/) 8. [**Entity-Relation Extraction as Multi-Turn Question Answering**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 437 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/) 9. [**A general framework for information extraction using dynamic span graphs**Yi Luan, Dave Wadden, Luheng He, et al.*2019 · 427 citations*](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/) 10. [**Tuning as Ranking**Mark Hopkins, Jonathan May*2011 · 391 citations*](https://md.research.elamur.ai/free/en/papers/hopkins-2011-tuning-as-ranking/) 11. [**Random Walks for Knowledge-Based Word Sense Disambiguation**Eneko Agirre, Oier López de Lacalle, Aitor Soroa*2014 · 359 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-random-walks-knowledge-based-word/) 12. [**A Unified Model for Word Sense Representation and Disambiguation**Xinxiong Chen, Zhiyuan Liu, Maosong Sun*2014 · 358 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-unified-model-word-sense-representation/) 13. [**Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**Jue Wang, Wei Lu*2020 · 286 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/) 14. [**Re-examining Machine Translation Metrics for Paraphrase Identification**Nitin Madnani, Joel Tetreault, Martin Chodorow*2012 · 271 citations*](https://md.research.elamur.ai/free/en/papers/madnani-2012-re-examining-machine-translation-metrics/) 15. [**Word-Sense Disambiguation for Machine Translation**David Vickrey, Luke Biewald, Marc Teyssier, et al.*2005 · 242 citations*](https://md.research.elamur.ai/free/en/papers/vickrey-2005-word-sense-disambiguation-machine-translation/) 16. [**Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks**Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.*2017 · 225 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2018-evaluating-layers-representation-neural-machine/) 17. [**Entity Linking meets Word Sense Disambiguation: a Unified Approach**Andrea Moro, Alessandro Raganato, Roberto Navigli*2014 · 188 citations*](https://md.research.elamur.ai/free/en/papers/moro-2014-entity-linking-meets-word-sense/) 18. [**Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk**Chris Callison-Burch*2009 · 112 citations*](https://md.research.elamur.ai/free/en/papers/burch-2009-fast-cheap-creative-evaluating-translation/) 19. [**Discourse Structure in Machine Translation Evaluation**Shafiq Joty, Francisco Guzmán, Lluís Màrquez, et al.*2017 · 40 citations*](https://md.research.elamur.ai/free/en/papers/joty-2017-discourse-structure-machine-translation-evaluation/) 20. [**Machine Translation with Many Manually Labeled Discourse Connectives**Thomas Meyer, Lucie Poláková*2013 · 24 citations*](https://md.research.elamur.ai/free/en/papers/meyer-2013-machine-translation-many-manually-labeled/) 322 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/yee-seng-chan/) — Yee Seng Chan