Who Cited It

Neural Architectures for Named Entity Recognition

2016 · 4,482 citations · 7 from inside this corpus

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami low, Chris Dyer

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.

Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…Long Short-Term Memory (1997)Long Short-Term MemoryAdam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Bidirectional LSTM-CRF Models for Sequence Tagging (2015)Bidirectional LSTM-CRF Models…Character-level Convolutional Networks for Text Classification (2015)Character-level Convolutional…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition (2002)Introduction to the CoNLL-200…Design challenges and misconceptions in named entity recognition (2009)Design challenges and misconc…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021)A Survey on Knowledge Graphs:…End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF (2016)End-to-end Sequence Labeling …Attention-based LSTM for Aspect-level Sentiment Classification (2016)Attention-based LSTM for Aspe…Deep Contextualized Word Representations (2018)Deep Contextualized Word Repr…Knowledge Graphs (2021)Knowledge GraphsA Survey on Deep Learning for Named Entity Recognition (2020)A Survey on Deep Learning for…
25 of 25 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
Long Short-Term Memory1997101,359
Adam: A Method for Stochastic Optimization201484,698
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Efficient Estimation of Word Representations in Vector Space201318,186
Distributed Representations of Words and Phrases and their Compositionality201318,054
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
Efficient Estimation of Word Representations in Vector Space201311,714
Learning long-term dependencies with gradient descent is difficult19948,610
Improving neural networks by preventing co-adaptation of feature detectors20126,653
ADADELTA: An Adaptive Learning Rate Method20125,532
Natural Language Processing (almost) from Scratch20115,174
Natural Language Processing (almost) from Scratch20113,991
Bidirectional LSTM-CRF Models for Sequence Tagging20153,287
Character-level Convolutional Networks for Text Classification20153,280
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition20021,583
Design challenges and misconceptions in named entity recognition20091,491
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

What cites it, inside the corpus

PaperYearCited
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications20212,862
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF20162,595
Attention-based LSTM for Aspect-level Sentiment Classification20162,380
Deep Contextualized Word Representations20181,783
Knowledge Graphs20211,767
A Survey on Deep Learning for Named Entity Recognition20201,534

Links

DOI · Open access copy · OpenAlex record

Topics

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

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complete

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

  • supports5 author record(s) attached.
  • supports48 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 2026-09-04T03:58:44+00:00.

sha256 648f8491aaceaa34…