Who Cited It

Text Summarization with Pretrained Encoders

2019 · 1,633 citations · 2 from inside this corpus

Yang Liu, Mirella Lapata

Yang Liu, Mirella Lapata. 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.

Text Summarization with Pretrained Encoders (2019)Text Summarization with Pretr…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…ROUGE: A Package for Automatic Evaluation of Summaries (2004)ROUGE: A Package for Automati…The Stanford CoreNLP Natural Language Processing Toolkit (2014)The Stanford CoreNLP Natural …Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…Get To The Point: Summarization with Pointer-Generator Networks (2017)Get To The Point: Summarizati…Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond (2016)Abstractive Text Summarizatio…The use of MMR, diversity-based reranking for reordering documents and producing summaries (1998)The use of MMR, diversity-bas…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Incorporating Copying Mechanism in Sequence-to-Sequence Learning (2016)Incorporating Copying Mechani…Neuromodulatory Control Networks (NCNs): A Biologically Inspired Architecture for Dynamic… (2025)Neuromodulatory Control Netwo…Prefix-Tuning: Optimizing Continuous Prompts for Generation (2021)Prefix-Tuning: Optimizing Con…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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
ROUGE: A Package for Automatic Evaluation of Summaries20048,302
The Stanford CoreNLP Natural Language Processing Toolkit20147,269
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
Get To The Point: Summarization with Pointer-Generator Networks20173,935
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond20162,233
The use of MMR, diversity-based reranking for reordering documents and producing summaries19982,204
Teaching Machines to Read and Comprehend20151,939
Teaching Machines to Read and Comprehend20151,519
Incorporating Copying Mechanism in Sequence-to-Sequence Learning20161,442
Neuromodulatory Control Networks (NCNs): A Biologically Inspired Architecture for Dynamic…20251,416

What cites it, inside the corpus

PaperYearCited
Prefix-Tuning: Optimizing Continuous Prompts for Generation20212,322
Pre-trained models for natural language processing: A survey20201,521

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Computational and Text Analysis MethodsSocial Sciences

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports38 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…