Who Cited It

BLEU

2001 · 21,963 citations · 21 from inside this corpus

Kishore Papineni low, Salim Roukos, Todd J. Ward, Wei-Jing Zhu low

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

BLEU (2001)BLEUSequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Effective Approaches to Attention-based Neural Machine Translation (2015)Effective Approaches to Atten…ROUGE: A Package for Automatic Evaluation of Summaries (2004)ROUGE: A Package for Automati…Moses (2007)MosesLarge language models encode clinical knowledge (2023)Large language models encode …METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgme… (2005)METEOR: An Automatic Metric f…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Statistical phrase-based translation (2003)Statistical phrase-based tran…Europarl: A Parallel Corpus for Statistical Machine Translation (2005)Europarl: A Parallel Corpus f…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Minimum error rate training in statistical machine translation (2003)Minimum error rate training i…Prefix-Tuning: Optimizing Continuous Prompts for Generation (2021)Prefix-Tuning: Optimizing Con…Natural Questions: A Benchmark for Question Answering Research (2019)Natural Questions: A Benchmar…BERTScore: Evaluating Text Generation with BERT (2019)BERTScore: Evaluating Text Ge…A Diversity-Promoting Objective Function for Neural Conversation Models (2016)A Diversity-Promoting Objecti…A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and… (2024)A Survey on Hallucination in …Natural language processing: state of the art, current trends and challenges (2022)Natural language processing: …Automatic evaluation of summaries using N-gram co-occurrence statistics (2003)Automatic evaluation of summa…Deep Learning Enabled Semantic Communication Systems (2021)Deep Learning Enabled Semanti…Statistical Significance Tests for Machine Translation Evaluation. (2004)Statistical Significance Test…
21 of 21 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 cites it, inside the corpus

PaperYearCited
Sequence to Sequence Learning with Neural Networks201413,351
Effective Approaches to Attention-based Neural Machine Translation20158,617
ROUGE: A Package for Automatic Evaluation of Summaries20048,302
Moses20074,889
Large language models encode clinical knowledge20233,721
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgme…20053,717
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
Sequence to Sequence Learning with Neural Networks20143,514
Statistical phrase-based translation20033,278
Europarl: A Parallel Corpus for Statistical Machine Translation20053,112
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Minimum error rate training in statistical machine translation20032,769
Prefix-Tuning: Optimizing Continuous Prompts for Generation20212,322
Natural Questions: A Benchmark for Question Answering Research20192,095
BERTScore: Evaluating Text Generation with BERT20192,065
A Diversity-Promoting Objective Function for Neural Conversation Models20162,061
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and…20241,986
Natural language processing: state of the art, current trends and challenges20221,807
Automatic evaluation of summaries using N-gram co-occurrence statistics20031,591
Deep Learning Enabled Semantic Communication Systems20211,547
Statistical Significance Tests for Machine Translation Evaluation.20041,467

Links

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Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Text Readability and SimplificationComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports3 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 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…