Who Cited It

SciBERT: A Pretrained Language Model for Scientific Text

2019 · 3,109 citations · 7 from inside this corpus

Iz Beltagy, Kyle Lo, Arman Cohan

Iz Beltagy, Kyle Lo, Arman Cohan. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

SciBERT: A Pretrained Language Model for Scientific Text (2019)SciBERT: A Pretrained Languag…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…Publicly Available Clinical (2019)Publicly Available ClinicalTransformers: State-of-the-Art Natural Language Processing (2020)Transformers: State-of-the-Ar…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019)HuggingFace's Transformers: S…Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2021)Domain-Specific Language Mode…BERTScore: Evaluating Text Generation with BERT (2019)BERTScore: Evaluating Text Ge…The false hope of current approaches to explainable artificial intelligence in health care (2021)The false hope of current app…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…
14 of 14 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
Publicly Available Clinical20191,743

What cites it, inside the corpus

PaperYearCited
Transformers: State-of-the-Art Natural Language Processing20208,295
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
HuggingFace's Transformers: State-of-the-art Natural Language Processing20193,147
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing20212,146
BERTScore: Evaluating Text Generation with BERT20192,065
The false hope of current approaches to explainable artificial intelligence in health care20211,572
Pre-trained models for natural language processing: A survey20201,521

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Biomedical Text Mining and OntologiesBiochemistry, Genetics and Molecular Biology

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports35 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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