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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (TIKA-2720) A parser to output universal sentence encodings to text
Date Mon, 03 Sep 2018 13:23:00 GMT

    [ https://issues.apache.org/jira/browse/TIKA-2720?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16602166#comment-16602166
] 

ASF GitHub Bot commented on TIKA-2720:
--------------------------------------

ThejanW commented on a change in pull request #248: Fix for TIKA-2720 [WIP]
URL: https://github.com/apache/tika/pull/248#discussion_r214688104
 
 

 ##########
 File path: tika-dl/src/test/resources/org/apache/tika/dl/text/sentencoder/tf-uni-sent-encoder-config.xml
 ##########
 @@ -0,0 +1,28 @@
+<?xml version="1.0" encoding="UTF-8"?>
+
+<!--
+  ~ Licensed to the Apache Software Foundation (ASF) under one or more
+  ~ contributor license agreements.  See the NOTICE file distributed with
+  ~ this work for additional information regarding copyright ownership.
+  ~ The ASF licenses this file to You under the Apache License, Version 2.0
+  ~ (the "License"); you may not use this file except in compliance with
+  ~ the License.  You may obtain a copy of the License at
+  ~
+  ~    http://www.apache.org/licenses/LICENSE-2.0
+  ~
+  ~ Unless required by applicable law or agreed to in writing, software
+  ~ distributed under the License is distributed on an "AS IS" BASIS,
+  ~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  ~ See the License for the specific language governing permissions and
+  ~ limitations under the License.
+  -->
+<properties>
+    <parsers>
+        <parser class="org.apache.tika.dl.text.sentencoder.TFUniSentEncoder">
+            <mime>text/plain</mime>
+            <params>
+                <param name="modelURL" type="string">https://www.dropbox.com/s/brls43rgzoqtee4/uni-sent-encoder.zip?dl=1</param>
 
 Review comment:
   @chrismattmann No. The weights are originally coming from the tf-hub module https://www.tensorflow.org/hub/modules/google/universal-sentence-encoder/2,
this paper(https://arxiv.org/abs/1803.11175) has specified that they have open sourced it.
Tf-hub is a python only library, they provide an user friendly way of working with deep learning
models with their own caching mechanism and few other stuff, I have exported the metagraphs,
weights of universal sentence encoder/2 tf-hub module using tensorflow python; there's a specific
way of doing that; I can share the model exporting scripts in a gist if you need. I have uploaded
the model to dropbox for now. Perhaps, I can upload it to a more convenient place. How about
uscdatascience?  

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> A parser to output universal sentence encodings to text
> -------------------------------------------------------
>
>                 Key: TIKA-2720
>                 URL: https://issues.apache.org/jira/browse/TIKA-2720
>             Project: Tika
>          Issue Type: New Feature
>          Components: tika-dl
>            Reporter: Thejan Wijesinghe
>            Priority: Major
>             Fix For: 2.0
>
>
> This parser encodes a text into high dimensional vectors that can be used for text classification,
semantic similarity, clustering and other natural language tasks. The model is trained and
optimized for greater-than-word length text, such as sentences, phrases or short paragraphs.
It is trained on a variety of data sources and a variety of tasks with the aim of dynamically
accommodating a wide variety of natural language understanding tasks. The input is variable
length English text and the output is a 512 dimensional vector.



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