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https://issues.apache.org/jira/browse/TIKA-2720?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16602166#comment-16602166
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ASF GitHub Bot commented on TIKA-2720:
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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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