Who Cited It

Bidirectional LSTM-CRF Models for Sequence Tagging

2015 · arXiv (Cornell University) · 3,287 citations · 4 from inside this corpus

Kai Yu

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.

Bidirectional LSTM-CRF Models for Sequence Tagging (2015)Bidirectional LSTM-CRF Models…Long Short-Term Memory (1997)Long Short-Term MemoryA tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Recurrent neural network based language model (2010)Recurrent neural network base…Incorporating non-local information into information extraction systems by Gibbs sampling (2005)Incorporating non-local infor…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF (2016)End-to-end Sequence Labeling …A Survey on Deep Learning for Named Entity Recognition (2020)A Survey on Deep Learning for…
11 of 11 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
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
Speech recognition with deep recurrent neural networks20138,916
Recurrent neural network based language model20105,432
Incorporating non-local information into information extraction systems by Gibbs sampling20053,044
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

What cites it, inside the corpus

PaperYearCited
Neural Architectures for Named Entity Recognition20164,482
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF20162,595
A Survey on Deep Learning for Named Entity Recognition20201,534

Links

DOI · Open access copy · OpenAlex record

Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Speech Recognition and SynthesisComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports1 author record(s) attached.
  • supports23 reference(s) recorded.
  • weakensThe DOI names 2021 but the record dates this to 2,015. One of the two is about a different paper.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…