🧑‍🔬 Who cites Stan Szpakowicz

365 citations of their works from 337 papers of our library (of the 141,840 whose bibliographies we read) · 39 with a page here, the most cited first · ← Stan Szpakowicz

1. From Frequency to Meaning: Vector Space Models of SemanticsPeter D. Turney, Patrick Pantel2010 · 3,430 citations
2. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationPeng Zhou, Wei Shi, Jun Tian, et al.2016 · 2,218 citations
3. BERT Rediscovers the Classical NLP PipelineIan Tenney, Dipanjan Das, Ellie Pavlick2019 · 2,002 citations
4. Relation Classification via Convolutional Deep Neural NetworkDaojian Zeng, Kang Liu, Siwei Lai, et al.2014 · 1,670 citations
5. End-to-End Relation Extraction using LSTMs on Sequences and Tree StructuresMakoto Miwa, Mohit Bansal2016 · 1,603 citations
6. Semantic Compositionality through Recursive Matrix-Vector SpacesRichard Socher, Brody Huval, Christopher D. Manning, et al.2012 · 1,571 citations
7. Matching the Blanks: Distributional Similarity for Relation LearningLivio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, et al.2019 · 994 citations
8. Distributional Memory: A General Framework for Corpus-Based SemanticsMarco Baroni, Alessandro Lenci2010 · 883 citations
9. Classifying Relations via Long Short Term Memory Networks along Shortest Dependency PathsYan Xu, Lili Mou, Ge Li, et al.2015 · 774 citations
10. Classifying Relations by Ranking with Convolutional Neural NetworksCícero dos Santos, Bing Xiang, Bowen Zhou2015 · 616 citations
11. Extracting Relational Facts by an End-to-End Neural Model with Copy MechanismXiangrong Zeng, Daojian Zeng, Shizhu He, et al.2018 · 610 citations
12. Attention Guided Graph Convolutional Networks for Relation ExtractionZhijiang Guo, Yan Zhang, Wei Lu2019 · 600 citations
13. Relation Extraction: Perspective from Convolutional Neural NetworksThien Huu Nguyen, Ralph Grishman2015 · 592 citations
14. What do you learn from context? Probing for sentence structure in contextualized word representationsIan Tenney, Patrick Xia, Berlin Chen, et al.2019 · 588 citations
15. Relation Classification via Multi-Level Attention CNNsLinlin Wang, Zhu Cao, Gerard de Melo, et al.2016 · 576 citations
16. PATTY: A Taxonomy of Relational Patterns with Semantic TypesNdapandula Nakashole, Gerhard Weikum, Fabian Suchanek2012 · 433 citations
17. Frame-Semantic ParsingDipanjan Das, Desai Chen, André F. T. Martins, et al.2014 · 411 citations
18. Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionGuoshun Nan, Zhijiang Guo, Ivan Sekulic, et al.2020 · 380 citations
19. Improving Hypernymy Detection with an Integrated Path-based and Distributional MethodVered Shwartz, Yoav Goldberg, Ido Dagan2016 · 319 citations
20. Do Multi-Sense Embeddings Improve Natural Language Understanding?Jiwei Li, Dan Jurafsky2015 · 303 citations
21. Robust Distant Supervision Relation Extraction via Deep Reinforcement LearningPengda Qin, Weiran Xu, William Yang Wang2018 · 297 citations
22. Overview of BioNLP Shared Task 2011Jin-Dong Kim, Sampo Pyysalo, Tomoko Ohta, et al.2011 · 289 citations
23. Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 281 citations
24. When Are Tree Structures Necessary for Deep Learning of Representations?Jiwei Li, Thang Luong, Dan Jurafsky, et al.2015 · 266 citations
25. A Uniform Approach to Analogies, Synonyms, Antonyms, and AssociationsPeter Turney2008 · 264 citations
26. SemEval-2012 Task 2: Measuring Degrees of Relational SimilarityDavid Jurgens, Saif Mohammad, Peter Turney, et al.2012 · 259 citations
27. Learning from Context or Names? An Empirical Study on Neural Relation ExtractionHao Peng, Tianyu Gao, Xu Han, et al.2020 · 255 citations
28. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
29. What Happens To BERT Embeddings During Fine-tuning?Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.2020 · 218 citations
30. SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific PapersKata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.2018 · 216 citations
31. TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction TaskChristoph Alt, Aleksandra Gabryszak, Leonhard Hennig2020 · 213 citations
32. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionXiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
33. Rethinking Cooperative Rationalization: Introspective Extraction and Complement ControlMo Yu, Shiyu Chang, Yang Zhang, et al.2019 · 175 citations
34. Revisiting DocRED - Addressing the False Negative Problem in Relation ExtractionQingyu Tan, Lu Xu, Lidong Bing, et al.2022 · 151 citations
35. HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
36. Evidence-based Fact-Checking of Health-related ClaimsMourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, et al.2021 · 129 citations
37. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
38. CATS: An Annotation Scheme of Causality and Temporal StructureNana Yu, Purificação Silvano, Luís Filipe Cunha, et al.2026
39. RelEx-PT: A Portuguese Sentence-Level Relation Extraction DatasetTomás Pinto, Catarina Silva, Hugo Goncalo Oliveira2026

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