Who Cited It

Design challenges and misconceptions in named entity recognition

2009 · 1,491 citations · 5 from inside this corpus

Lev Ratinov low, Dan Roth

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.

Design challenges and misconceptions in named entity recognition (2009)Design challenges and misconc…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…Incorporating non-local information into information extraction systems by Gibbs sampling (2005)Incorporating non-local infor…Class-based n -gram models of natural language (1992)Class-based n -gram models of…Feature-rich part-of-speech tagging with a cyclic dependency network (2003)Feature-rich part-of-speech t…Discriminative training methods for hidden Markov models (2002)Discriminative training metho…A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition (1990)A Tutorial on Hidden Markov M…Predicting good probabilities with supervised learning (2005)Predicting good probabilities…Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition (2002)Introduction to the CoNLL-200…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF (2016)End-to-end Sequence Labeling …Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Knowledge Graphs (2021)Knowledge Graphs
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
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
Incorporating non-local information into information extraction systems by Gibbs sampling20053,044
Class-based n -gram models of natural language19922,894
Feature-rich part-of-speech tagging with a cyclic dependency network20032,885
Discriminative training methods for hidden Markov models20021,895
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition19901,889
Predicting good probabilities with supervised learning20051,751
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition20021,583

What cites it, inside the corpus

PaperYearCited
Natural Language Processing (almost) from Scratch20115,174
Neural Architectures for Named Entity Recognition20164,482
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF20162,595
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Knowledge Graphs20211,767

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Data Quality and ManagementDecision Sciences

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports36 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 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…