Methods › General › Structured Prediction › CRF

Conditional Random Field

CRF

468 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Conditional Random Fields or CRFs are a type of probabilistic graph model that take neighboring sample context into account for tasks like classification. Prediction is modeled as a graphical model, which implements dependencies between the predictions. Graph choice depends on the application, for example linear chain CRFs are popular in natural language processing, whereas in image-based tasks, the graph would connect to neighboring locations in an image to enforce that they have similar predictions.

Image Credit: Charles Sutton and Andrew McCallum, An Introduction to Conditional Random Fields

Papers archive 2025-07-28

30 shown of 468, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 348 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Semantic Segmentation103
Segmentation90
Named Entity Recognition (NER)67
Named Entity Recognition64
named-entity-recognition62
NER47
Image Segmentation38
Sentence30
Word Embeddings27
General Classification23
POS21
object-detection20
Object Detection19
Part-Of-Speech Tagging18
Object16
POS Tagging14
Structured Prediction14
TAG14
Language Modelling13
Machine Translation13

Usage over time archive 2025-07-28

Papers per year tagged with CRF: 2008 to 2025, peak 73 73 0 2008: 1 paper 2008 2009: 1 paper 2010: 0 papers 2010 2011: 0 papers 2012: 2 papers 2012 2013: 2 papers 2014: 11 papers 2014 2015: 22 papers 2016: 46 papers 2016 2017: 54 papers 2018: 70 papers 2018 2019: 63 papers 2020: 73 papers 2020 2021: 43 papers 2022: 30 papers 2022 2023: 23 papers 2024: 15 papers 2024 2025: 12 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (468 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Structured Prediction

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections