---
title: "Who cites Diarmuid Ó Séaghdha — 368 papers of our library"
description: "368 papers of the Elamur Research library cite the works of Diarmuid Ó Séaghdha, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/diarmuid-o-seaghdha/cited-by/"
---
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# Who cites Diarmuid Ó Séaghdha

369 citations of their works from 368 papers of our library (of the 141,840 whose bibliographies we read) · 41 with a page here, the most cited first · [← Diarmuid Ó Séaghdha](https://md.research.elamur.ai/free/en/authors/diarmuid-o-seaghdha/)

1. **[Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification](https://md.research.elamur.ai/free/en/papers/zhou-2016-attention-based-bidirectional-long-short/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Zhou, Wei Shi, Jun Tian, et al.*2016 · 2,218 citations*
2. **[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 2,002 citations*
3. **[Relation Classification via Convolutional Deep Neural Network](https://md.research.elamur.ai/free/en/papers/zeng-2014-relation-classification-convolutional-deep-neural/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Daojian Zeng, Kang Liu, Siwei Lai, et al.*2014 · 1,670 citations*
4. **[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*
5. **[Semantic Compositionality through Recursive Matrix-Vector Spaces](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Brody Huval, Christopher D. Manning, et al.*2012 · 1,571 citations*
6. **[Matching the Blanks: Distributional Similarity for Relation Learning](https://md.research.elamur.ai/free/en/papers/soares-2019-matching-blanks-distributional-similarity-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, et al.*2019 · 994 citations*
7. **[Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yan Xu, Lili Mou, Ge Li, et al.*2015 · 774 citations*
8. **[BAE: BERT-based Adversarial Examples for Text Classification](https://md.research.elamur.ai/free/en/papers/garg-2020-bae-bert-based-adversarial-examples/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Siddhant Garg, Goutham Ramakrishnan*2020 · 665 citations*
9. **[Classifying Relations by Ranking with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/santos-2015-classifying-relations-ranking-convolutional-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cícero dos Santos, Bing Xiang, Bowen Zhou*2015 · 616 citations*
10. **[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*
11. **[Attention Guided Graph Convolutional Networks for Relation Extraction](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijiang Guo, Yan Zhang, Wei Lu*2019 · 600 citations*
12. **[Relation Extraction: Perspective from Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/nguyen-2015-relation-extraction-perspective-convolutional-neural/) [Workshop on Vector Space Modeling for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-vector-space-modeling-for-natural-language-processing/)**Thien Huu Nguyen, Ralph Grishman*2015 · 592 citations*
13. [**What do you learn from context? Probing for sentence structure in contextualized word representations arXiv:1905.06316**Ian Tenney, Patrick Xia, Berlin Chen, et al.*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/)
14. **[Relation Classification via Multi-Level Attention CNNs](https://md.research.elamur.ai/free/en/papers/wang-2016-relation-classification-multi-level-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linlin Wang, Zhu Cao, Gerard de Melo, et al.*2016 · 576 citations*
15. **[From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.*2020 · 461 citations*
16. **[PATTY: A Taxonomy of Relational Patterns with Semantic Types](https://md.research.elamur.ai/free/en/papers/nakashole-2012-patty-taxonomy-relational-patterns-semantic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ndapandula Nakashole, Gerhard Weikum, Fabian Suchanek*2012 · 433 citations*
17. **[Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-transfer-learning-multilingual/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.*2019 · 391 citations*
18. **[Reasoning with Latent Structure Refinement for Document-Level Relation Extraction](https://md.research.elamur.ai/free/en/papers/nan-2020-reasoning-latent-structure-refinement-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guoshun Nan, Zhijiang Guo, Ivan Sekulic, et al.*2020 · 380 citations*
19. **[Improving Hypernymy Detection with an Integrated Path-based and Distributional Method](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*
20. **[Do Multi-Sense Embeddings Improve Natural Language Understanding?](https://md.research.elamur.ai/free/en/papers/li-2015-do-multi-sense-embeddings-improve/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Dan Jurafsky*2015 · 303 citations*
21. **[Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/qin-2018-robust-distant-supervision-relation-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengda Qin, Weiran Xu, William Yang Wang*2018 · 297 citations*
22. **[Overview of BioNLP Shared Task 2011](https://md.research.elamur.ai/free/en/papers/kim-2011-overview-bionlp-shared-task-2011/) [BioNLP Shared Task Workshop](https://md.research.elamur.ai/free/en/venues/bionlp-workshop-and-shared-task/)**Jin-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?](https://md.research.elamur.ai/free/en/papers/pruksachatkun-2020-intermediate-task-transfer-learning-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.*2020 · 281 citations*
24. **[When Are Tree Structures Necessary for Deep Learning of Representations?](https://md.research.elamur.ai/free/en/papers/li-2015-when-are-tree-structures-necessary/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Thang Luong, Dan Jurafsky, et al.*2015 · 266 citations*
25. **[SemEval-2012 Task 2: Measuring Degrees of Relational Similarity](https://md.research.elamur.ai/free/en/papers/jurgens-2012-semeval-2012-task-2-measuring/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**David Jurgens, Saif Mohammad, Peter Turney, et al.*2012 · 259 citations*
26. **[Learning from Context or Names? An Empirical Study on Neural Relation Extraction](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Peng, Tianyu Gao, Xu Han, et al.*2020 · 255 citations*
27. **[GPT-RE: In-context Learning for Relation Extraction using Large Language Models](https://md.research.elamur.ai/free/en/papers/wan-2023-gpt-re-context-learning-relation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.*2023 · 253 citations*
28. **[What Happens To BERT Embeddings During Fine-tuning?](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.*2020 · 218 citations*
29. **[SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers](https://md.research.elamur.ai/free/en/papers/gabor-2018-semeval-2018-task-7-semantic/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kata Gábor, Davide Buscaldi, Anne-Kathrin Schumann, et al.*2018 · 216 citations*
30. **[TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig*2020 · 213 citations*
31. [**InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction arXiv:2304.08085**Xiao Wang, Weikang Zhou, Can Zu, et al.*2023 · 194 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-instructuie-multi-task-instruction-tuning/)
32. **[Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control](https://md.research.elamur.ai/free/en/papers/yu-2019-rethinking-cooperative-rationalization-introspective-extraction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mo Yu, Shiyu Chang, Yang Zhang, et al.*2019 · 175 citations*
33. **[Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Tan, Lu Xu, Lidong Bing, et al.*2022 · 151 citations*
34. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
35. **[Evidence-based Fact-Checking of Health-related Claims](https://md.research.elamur.ai/free/en/papers/sarrouti-2021-evidence-based-fact-checking-health/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, et al.*2021 · 129 citations*
36. **[Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors](https://md.research.elamur.ai/free/en/papers/zhang-2023-aligning-instruction-tasks-unlocks-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Zhang, Bernal Jimenez Gutierrez, Yu Su*2023 · 118 citations*
37. **[Intrinsic Bias Metrics Do Not Correlate with Application Bias](https://md.research.elamur.ai/free/en/papers/tarrant-2021-intrinsic-bias-metrics-do-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, et al.*2021 · 116 citations*
38. **[A Neural Network Approach to Selectional Preference Acquisition](https://md.research.elamur.ai/free/en/papers/cruys-2014-neural-network-approach-selectional-preference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Van de Cruys, Tim*2014 · 79 citations*
39. [**WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models**Fatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almeman-2024-wordnet-examples-llm/)
40. **[On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT](https://md.research.elamur.ai/free/en/papers/liu-2023-quick-kisses-how-make-them/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Chenxin Liu, Emmanuele Chersoni*2023 · 2 citations*
41. **[RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*

327 more citing papers of our library have no page here yet.

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