Who Cited It

Incorporating non-local information into information extraction systems by Gibbs sampling

2005 · 3,044 citations · 6 from inside this corpus

Jenny Rose Finkel, Trond Grenager low, Christopher D. Manning

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.

Incorporating non-local information into information extraction systems by Gibbs sampling (2005)Incorporating non-local infor…A 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…An Introduction to MCMC for Machine Learning (2003)An Introduction to MCMC for M…Simulated Annealing: Theory and Applications (1987)Simulated Annealing: Theory a…A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition (1990)A Tutorial on Hidden Markov M…The Stanford CoreNLP Natural Language Processing Toolkit (2014)The Stanford CoreNLP Natural …Knowledge Graph Embedding by Translating on Hyperplanes (2014)Knowledge Graph Embedding by …Bidirectional LSTM-CRF Models for Sequence Tagging (2015)Bidirectional LSTM-CRF Models…Distant supervision for relation extraction without labeled data (2009)Distant supervision for relat…Knowledge Graphs (2021)Knowledge GraphsDesign challenges and misconceptions in named entity recognition (2009)Design challenges and misconc…
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.
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
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
An Introduction to MCMC for Machine Learning20032,430
Simulated Annealing: Theory and Applications19872,384
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition19901,889

What cites it, inside the corpus

PaperYearCited
The Stanford CoreNLP Natural Language Processing Toolkit20147,269
Knowledge Graph Embedding by Translating on Hyperplanes20143,838
Bidirectional LSTM-CRF Models for Sequence Tagging20153,287
Distant supervision for relation extraction without labeled data20092,924
Knowledge Graphs20211,767
Design challenges and misconceptions in named entity recognition20091,491

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Machine Learning and AlgorithmsComputer Science
Natural Language Processing TechniquesComputer Science

Is this record sound?

complete

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

  • supports3 author record(s) attached.
  • supports25 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…