nerf: Nerf, the named entity recognition tool based on linear-chain CRFs

[ bsd3, library, natural-language-processing, program ] [ Propose Tags ]

The package provides the named entity recognition (NER) tool divided into a back-end library (see the NLP.Nerf module) and the front-end tool nerf. Using the library you can model and recognize named entities (NEs) which, for a particular sentence, take the form of forest with NE category values kept in internal nodes and sentence words kept in forest leaves.

To model NE forests we combine two different techniques. The IOB codec is used to translate to and fro between the original, forest representation of NEs and the sequence of atomic labels. In other words, it provides two isomorphic functions for encoding and decoding between both representations. Linear-chain conditional random fields, on the other hand, provide the framework for label modelling and tagging.

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

  • No Candidates
Versions [RSS] 0.1.0, 0.2.0, 0.2.1, 0.2.2, 0.3.0, 0.4.0, 0.5.0, 0.5.1, 0.5.2, 0.5.3, 0.5.4, 0.5.4.1
Dependencies base (>=4 && <5), binary, cmdargs, containers, crf-chain1 (>=0.2 && <0.3), data-named (>=0.5 && <0.6), dawg (>=0.5 && <0.6), monad-ox (>=0.2 && <0.3), polimorf (>=0.5.0 && <0.6), polysoup (>=0.1 && <0.2), sgd (>=0.2.1 && <0.3), text, text-binary (>=0.1 && <0.2), vector [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Category Natural Language Processing
Home page https://github.com/kawu/nerf
Source repo head: git clone https://github.com/kawu/nerf.git
Uploaded by JakubWaszczuk at 2012-11-23T09:50:31Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Executables nerf
Downloads 7999 total (23 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs uploaded by user
Build status unknown [no reports yet]