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MULTIBERKELEY_gold.xml
README.md
README.md

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ItalianFrameNet

A collection of data I manually annotated during my Phd on ItalianFrameNet.

There are currently two datasets available:

1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).

2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.

For details on the two corpora, how they were created and what frames they include, check my Phd thesis:

Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)

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A collection of data I manually annotated during my Phd on ItalianFrameNet

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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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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
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A collection of data I manually annotated during my Phd on ItalianFrameNet 
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, '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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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
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A collection of data I manually annotated during my Phd on ItalianFrameNet 
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, '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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MULTIBERKELEY_gold.xml
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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
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A collection of data I manually annotated during my Phd on ItalianFrameNet 
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, '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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ITA-EUROPARL_gold.xml
MULTIBERKELEY_gold.xml
MULTIBERKELEY_gold.xml
README.md
README.md
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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
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A collection of data I manually annotated during my Phd on ItalianFrameNet 
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, '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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ITA-EUROPARL_gold.xml
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MULTIBERKELEY_gold.xml
README.md
README.md
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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
About
A collection of data I manually annotated during my Phd on ItalianFrameNet 
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1 watching
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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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MULTIBERKELEY_gold.xml
MULTIBERKELEY_gold.xml
README.md
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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
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A collection of data I manually annotated during my Phd on ItalianFrameNet 
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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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MULTIBERKELEY_gold.xml
README.md
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ItalianFrameNet
A collection of data I manually annotated during my Phd on ItalianFrameNet.
There are currently two datasets available:
1.) ITA-EUROPARL_gold.xml: 987 Italian sentences extracted from the English-Italian bitext of Europarl, manually annotated with frames and FEs from FrameNet 1.3. The same English sentences had been previously used to build an English-German and an English-French gold standard (available at http://www.nlpado.de/~sebastian/srl_data.html) and to evaluate some transfer experiments with these two language pairs (Pado and Lapata, 2005, Pado and Pitel, 2007).
2.) MULTIBERKELEY_gold.xml: 391 sentences from the Berkeley FrameNet corpus, manually translated and then annotated with frames and FEs from FrameNet 1.3, one frame per sentence.
For details on the two corpora, how they were created and what frames they include, check my Phd thesis:
Sara Tonelli (2010). Semi-automatic Techniques for Extending the FrameNet Lexical Database to New Languages. PhD thesis, Dept. of Language Sciences, Università Ca’ Foscari, Venezia, Italy (available at: http://dspace.unive.it/handle/10579/1025)
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A collection of data I manually annotated during my Phd on ItalianFrameNet 
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