--- title: "Information extraction — papers" description: "Information extraction: 75 papers of the Elamur Research library, the most cited first." canonical: "https://research.elamur.ai/free/en/topics/information-extraction/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/information-extraction/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / Information extraction # 🔎 Information extraction 75 papers · page 1 of 3 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/) Pulling facts out of text: relations, events, attributes and the slots of a record. 💡 Explained: [Named entity recognition](https://md.research.elamur.ai/free/en/concepts/named-entity-recognition/) **1** [2](https://md.research.elamur.ai/free/en/topics/information-extraction/page/2/) [3](https://md.research.elamur.ai/free/en/topics/information-extraction/page/3/) [next →](https://md.research.elamur.ai/free/en/topics/information-extraction/page/2/) - [Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling](https://md.research.elamur.ai/free/en/papers/finkel-2005-incorporating-non-local-information-into/) — Jenny Rose Finkel, Trond Grenager, Christopher Manning · 2005 · 3 618 citations - [Language Models as Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/petroni-2019-language-models-as-knowledge-bases/) — Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al. · 2019 · 2 977 citations - [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/) — Makoto Miwa, Mohit Bansal · 2016 · 1 596 citations - [Open Information Extraction from the Web](https://md.research.elamur.ai/free/en/papers/banko-2007-open-information-extraction-web/) — Michele Banko, Michael J. Cafarella, Stephen Soderland, et al. · 2007 · 1 459 citations - [A Shortest Path Dependency Kernel for Relation Extraction](https://md.research.elamur.ai/free/en/papers/bunescu-2005-shortest-path-dependency-kernel-relation/) — Razvan Bunescu, Raymond Mooney · 2005 · 1 173 citations - [Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/chen-2015-event-extraction-dynamic-multi-pooling/) — Yubo Chen, Liheng Xu, Kang Liu, et al. · 2015 · 1 170 citations - [Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets](https://md.research.elamur.ai/free/en/papers/peng-2019-transfer-learning-biomedical-natural-language/) — Yifan Peng, Shankai Yan, Zhiyong Lu · 2019 · 1 070 citations - [Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/) — Yuhao Zhang, Peng Qi, Christopher D. Manning · 2018 · 1 046 citations - [Dependency Tree Kernels for Relation Extraction](https://md.research.elamur.ai/free/en/papers/culotta-2004-dependency-tree-kernels-relation-extraction/) — Aron Culotta, Jeffrey Sorensen · 2004 · 998 citations - [Exploring Various Knowledge in Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhou-2005-exploring-various-knowledge-relation-extraction/) — GuoDong Zhou, Jian Su, Jie Zhang, et al. · 2005 · 937 citations - [Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) — Yi Luan, Luheng He, Mari Ostendorf, et al. · 2018 · 933 citations - [Leveraging Linguistic Structure For Open Domain Information Extraction](https://md.research.elamur.ai/free/en/papers/angeli-2015-leveraging-linguistic-structure-open-domain/) — Gabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning · 2015 · 921 citations - [Joint Event Extraction via Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/nguyen-2016-joint-event-extraction-recurrent-neural/) — Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman · 2016 · 881 citations - [Kernel Methods for Relation Extraction](https://md.research.elamur.ai/free/en/papers/zelenko-2002-kernel-methods-relation-extraction/) — Dmitry Zelenko, Chinatsu Aone, Anthony Richardella · 2002 · 829 citations - [Entity, Relation, and Event Extraction with Contextualized Span Representations](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/) — David Wadden, Ulme Wennberg, Yi Luan, et al. · 2019 · 818 citations - [Overview of BioNLP'09 Shared Task on Event Extraction](https://md.research.elamur.ai/free/en/papers/kim-2009-overview-bionlp-09-shared-task/) — Jin-Dong Kim, Tomoko Ohta, Sampo Pyysalo, et al. · 2009 · 735 citations - [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/) — Zhepei Wei, Jianlin Su, Yue Wang, et al. · 2020 · 732 citations - [The stages of event extraction](https://md.research.elamur.ai/free/en/papers/ahn-2006-stages-event-extraction/) — David Ahn · 2006 · 704 citations - [Joint Event Extraction via Structured Prediction with Global Features](https://md.research.elamur.ai/free/en/papers/li-2013-joint-event-extraction-structured-prediction/) — Qi Li, Heng Ji, Liang Huang · 2013 · 681 citations - [Open Information Extraction Using Wikipedia](https://md.research.elamur.ai/free/en/papers/wu-2010-open-information-extraction-wikipedia/) — Fei Wu, Daniel S. Weld · 2010 · 648 citations - [A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/) — Zexuan Zhong, Danqi Chen · 2020 · 629 citations - [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/) — Xiangrong Zeng, Daojian Zeng, Shizhu He, et al. · 2018 · 607 citations - [Event Extraction by Answering (Almost) Natural Questions](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/) — Xinya Du, Claire Cardie · 2020 · 602 citations - [A Joint Neural Model for Information Extraction with Global Features](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/) — Ying Lin, Heng Ji, Fei Huang, et al. · 2020 · 600 citations - [Attention Guided Graph Convolutional Networks for Relation Extraction](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/) — Zhijiang Guo, Yan Zhang, Wei Lu · 2019 · 597 citations **1** [2](https://md.research.elamur.ai/free/en/topics/information-extraction/page/2/) [3](https://md.research.elamur.ai/free/en/topics/information-extraction/page/3/) [next →](https://md.research.elamur.ai/free/en/topics/information-extraction/page/2/) - [← previous topic Implicature](https://md.research.elamur.ai/free/en/topics/implicature/) - [next topic → Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) - [↑ back to topics](https://md.research.elamur.ai/free/en/topics/)