The nerf package

[Tags:bsd3, library, program]

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.

Properties

Versions 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
Dependencies base (==4.*), binary, cmdargs, containers, crf-chain1 (==0.2.*), data-named (==0.5.*), dawg (==0.5.*), monad-ox (==0.2.*), polimorf (>=0.5.0 && <0.6), polysoup (==0.1.*), sgd (>=0.2.1 && <0.3), text, text-binary (==0.1.*), vector [details]
License BSD3
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Stability experimental
Category Natural Language Processing
Home page https://github.com/kawu/nerf
Source repository head: git clone git://github.com/kawu/nerf.git
Uploaded Thu Nov 22 15:37:37 UTC 2012 by JakubWaszczuk
Distributions NixOS:0.5.3
Downloads 1814 total (52 in the last 30 days)
Votes
0 []
Status Docs not available [build log]
All reported builds failed as of 2015-11-23 [all 5 reports]

Modules

  • NLP
    • NLP.Nerf
      • NLP.Nerf.Dict
        • NLP.Nerf.Dict.Base
        • NLP.Nerf.Dict.NELexicon
        • NLP.Nerf.Dict.PNEG
        • NLP.Nerf.Dict.Prolexbase
      • NLP.Nerf.Schema
      • NLP.Nerf.Types

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