crf-chain1-constrained: First-order, constrained, linear-chain conditional random fields

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The library provides efficient implementation of the first-order, linear-chain conditional random fields (CRFs) with position-wise constraints imposed over label values.

It is strongly related to the simpler http://hackage.haskell.org/package/crf-chain1 library where constraints are not taken into account and all features which are not included in the CRF model are considered to have probability of 0. Here, on the other hand, such features do not influence the overall probability of the (sentence, labels) pair - they are assigned the default potential of 0.

Efficient algorithm for determining marginal probabilities of individual labels is provided. The tagging is performed with respect to marginal probabilities.

Modules

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Data
- CRF
  - Chain1
    - Data.CRF.Chain1.Constrained

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crf-chain1-constrained-0.4.0.tar.gz [browse] (Cabal source package)
Package description (as included in the package)

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JakubWaszczuk

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Versions [RSS]	0.1.0, 0.1.1, 0.1.2, 0.2.0, 0.2.1, 0.3.0, 0.3.1, 0.3.2, 0.4.0, 0.5.0, 0.6.0
Dependencies	array (>=0.4 && <0.6), base (>=4 && <5), binary (>=0.5 && <0.9), containers (>=0.4 && <0.6), data-lens (>=2.10 && <2.12), data-memocombinators (>=0.5 && <0.6), logfloat (>=0.12.1 && <0.14), monad-codec (>=0.2 && <0.3), parallel (>=3.2 && <3.3), pedestrian-dag (>=0.2 && <0.3), random (>=1.0 && <1.2), sgd (>=0.4.0 && <0.5), vector (>=0.10 && <0.13), vector-binary (>=0.1 && <0.2), vector-th-unbox (>=0.2.1 && <0.3) [details]
License	BSD-3-Clause
Copyright	Copyright (c) 2012 IPI PAN
Author	Jakub Waszczuk
Maintainer	waszczuk.kuba@gmail.com
Category	Math
Home page	https://github.com/kawu/crf-chain1-constrained
Source repo	head: git clone git://github.com/kawu/crf-chain1-constrained.git
Uploaded	by JakubWaszczuk at 2018-09-19T16:48:15Z
Distributions
Reverse Dependencies	3 direct, 1 indirect [details]
Downloads	8312 total (36 in the last 30 days)
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Status	Docs available [build log] Last success reported on 2018-09-19 [all 1 reports]