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https://issues.apache.org/jira/browse/TIKA-1699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14646321#comment-14646321
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ASF GitHub Bot commented on TIKA-1699:
--------------------------------------
GitHub user sujen1412 opened a pull request:
https://github.com/apache/tika/pull/55
Fix for TIKA-1699 contributed by Sujen Shah
Waiting for GROBID to get published to maven central.
Sonatype issue - https://issues.sonatype.org/browse/OSSRH-16837
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sujen1412/tika TIKA-1699
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/tika/pull/55.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #55
----
commit 4f067107d01e99bd81a66c78163f2a4baf3f817f
Author: Sujen Shah <[email protected]>
Date: 2015-07-29T13:49:00Z
Added grobid dependencies
commit 323ba33816a9beabe22d351c8eac4350fa010be0
Author: Sujen Shah <[email protected]>
Date: 2015-07-29T13:49:36Z
Registering journal parser
commit 71cdd0970fb17aeec85469d07dc1ee6460d2f4da
Author: Sujen Shah <[email protected]>
Date: 2015-07-29T13:54:07Z
Code for integrating GROBID Parser in to Tika
commit b6e9f8724b308e0c830f73702994cbe1c5932cd2
Author: Sujen Shah <[email protected]>
Date: 2015-07-29T13:58:08Z
Grobid properties files
commit 57b70ce38a77cc349588d2f513938bc4f18d4ad4
Author: Sujen Shah <[email protected]>
Date: 2015-07-29T13:58:58Z
Added unit test for journal parser
Corrected formatting
Corrected formatting
Corrected formatting
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> Integrate the GROBID PDF extractor in Tika
> ------------------------------------------
>
> Key: TIKA-1699
> URL: https://issues.apache.org/jira/browse/TIKA-1699
> Project: Tika
> Issue Type: New Feature
> Components: parser
> Reporter: Sujen Shah
> Labels: memex
>
> GROBID (http://grobid.readthedocs.org/en/latest/) is a machine learning
> library for extracting, parsing and re-structuring raw documents such as PDF
> into structured TEI-encoded documents with a particular focus on technical
> and scientific publications.
> It has a java api which can be used to augment PDF parsing for journals and
> help extract extra metadata about the paper like authors, publication,
> citations, etc.
> It would be nice to have this integrated into Tika, I have tried it on my
> local, will issue a pull request soon.
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