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  • Home > Linux > Science and Engineering > Artificial Intelligence

    What's Wrong With My NLP? 0.2.3

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    Downloads: 905  View global page NEW!  Tell us about an update
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    Category:
    Sebastian Riedel | More programs
    GPL / FREE
    July 6th, 2010, 10:38 GMT [view history]
    ROOT / Science and Engineering / Artificial Intelligence

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    What's Wrong With My NLP? description

    A visualizer for Natural Language Processing problems.

    What's Wrong With My NLP? is a visualizer for Natural Language Processing problems.


    Product's homepage

    Here are some key features of "What's Wrong With My NLP?":

    (Jointly) visualize:

    · syntactic dependency graphs
    · semantic dependency graphs (a la CoNLL 2008)
    · Chunks (such as syntactic chunks, NER chunks, SRL chunks etc.)

    · Compare gold standard trees to your generated trees (e.g. highlight false positive and negative dependency edges)

    Filter trees and visualize only what's necessary, for example:

    · only dependency edges with certain labels
    · only the edges between certain tokens

    Search corpora for sentences with certain attributes using powerful search expressions, for example:

    · search for all sentences that contain the word "vantage" and the pos tag sequence DT NN
    · search for all sentences that contain false positive edges and the word "vantage"

    Reads:

    · CoNLL 2000, 2002, 2003, 2004, 2006 and 2008 format
    · Lisp S-Expressions
    · Malt-Tab format
    · markov thebeast format

    · Export to EPS

    Requirements:

    · Java 2 Standard Edition Runtime Environment

    What's New in This Release: [ read full changelog ]

    · This release allows you to provide additional information about edges and spans in your predictions. For example, for first order dependency parsing models, you can show feature vectors associated with false positive or negative edges. This can be a very helpful feature when debugging probabilistic models of language. The release also contains minor bugfixes for loading data.

      


    TAGS:

    Natural Language Processing | NLP visualizer | graphs visualizer | NLP | visualizer | Natural

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