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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

Resources

Stars

0 stars

Watchers

5 watching

Forks

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

Resources

Stars

0 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

Resources

Stars

0 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

Resources

Stars

0 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

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Custom processor sample for Babel Street Analytics Entity Extractor

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

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Stars

0 stars

Watchers

5 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Rosette Entity Extractor Custom Processor Sample

The Rosette Entity Extractor supports custom processors that allow you to preprocess text at the pre-extraction phase or modify the output at the pre-redaction phase. This sample will show how a custom processor can be used to correct an entity type.

Requirements:

  • Rosette Enterprise 1.17.0
  • Rosette Enterprise license for Entity Extraction and English
  • [OPTIONAL] If you start Rosette Server via docker-compose, Docker must be installed and running on your machine

Observe default behavior

Start Rosette Server

export ROSAPI_HOME=/path-to-rosette-install/server directory
$ROSAPI_HOME/bin/launch.sh console

Call the /entities endpoint

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

You will see that "Karin" is extracted with the incorrect type ORGANIZATION. The custom processor sample code will correct entities that follow the string "My name is" to be type PERSON.

Build

To build the custom processor sample, run

export CP_SAMPLE=/path-to-this-directory
cd $CP_SAMPLE
mvn -Drosapi.home=$ROSAPI_HOME -P extract-rex-core-jar
mvn -Drosapi.home=$ROSAPI_HOME -P build-custom-processor

This will build the custom-processor-sample-1.0.jar in the target directory.

Integrate with Rosette Server

Copy custom-processor-sample-1.0.jar into Rosette Server

cp target/custom-processor-sample-1.0.jar $ROSAPI_HOME/launcher/bundles

Edit $ROSAPI_HOME/launcher/config/rosapi/rex-factory-config.yaml and add the following lines

#Custom processors to add to annotators. See AppDev guide for more details on custom processor.
customProcessors:
- personContextAnnotator
- boundaryAdjustAnnotator
- metadataAnnotator
#Register a custom processor class. See AppDev guide for more details on custom processor.
customProcessorClasses:
- sample.SampleCustomProcessor

Run

Start Rosette Server

$ROSAPI_HOME/bin/launch.sh console

Execute the same curl command as before:

curl -s --request POST 'http://localhost:8181/rest/v1/entities' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--data '{"content":"My name is Karin", "language":"eng"}' \
| jq .

The output is

{
"entities": [
{
"type": "PERSON",
"mention": "Karin",
"normalized": "Karin",
"count": 1,
"mentionOffsets": [
{
"startOffset": 11,
"endOffset": 16
}
],
"entityId": "T0",
"confidence": 0.03511071
}
]
}

Notice that the entity type is now correct as PERSON.

The Docker way

  1. Edit the docker-compose.yaml file, adding the following files to the volumes section.
volumes:
- rosette-roots-vol:/rosette/server/roots:ro
- ${ROSAPI_LICENSE_PATH}:/rosette/server/launcher/config/rosapi/rosette-license.xml:ro
- ${CP_SAMPLE}/config/rex-factory-config.yaml:/rosette/server/launcher/config/rosapi/rex-factory-config.yaml:ro
- ${CP_SAMPLE}/target/custom-processor-sample-1.0.jar:/rosette/server/launcher/bundles/custom-processor-sample-1.0.jar:ro
  1. Start the Rosette Server Docker container
ROSAPI_LICENSE_PATH=<path-to-license>/rosette-license.xml docker-compose up

Call the /entities endpoint with the same command as shown above. You should see "Karin" extracted as the correct entity type, PERSON.

About

Custom processor sample for Babel Street Analytics Entity Extractor

Resources

Stars

0 stars

Watchers

5 watching

Forks

Releases

Packages

Contributors

Languages