linkedin / linkedin/dagli

Add CRF (Conditional Random Fields) Layer

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Dominant language
Java
Stars
352
Forks
38
PR merge metrics
No merged PRs in 30d

Description

They are quite popular for POS/NER tagging

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing Dagli's Java APIs for defining machine-learning models and transformations, then determine where a Conditional Random Fields layer would fit. The issue provides no files, tests, or implementation details; done would require a defined CRF layer suitable for POS and NER tagging, along with corresponding validation.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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