BranchesTags

Repository files navigation

Question Classification

Course: Natural Language Processing and Information Retrieval
Instructor: Alessandro Moschitti

Objective: Using Tree Kernels for question classification.

Tasks:

  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010
    Example Tree from a question
    Example Tree from a question

Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."

Folders:

  • data
    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight

Languages and tools used

References

Installing Third Party Software on NLTK

About

project for Natural language processing

Resources

Readme
Activity

Stars

1 star

Watchers

0 watching

Forks

1 fork
Report repository

Releases

Packages

Used by

Contributors

Languages

, '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" + '

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
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" + '

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Question Classification
Course: Natural Language Processing and Information Retrieval 

Instructor: Alessandro Moschitti
Objective: Using Tree Kernels for question classification.
Tasks:
  • Separate labels and questions
  • Parse (English grammer using Stanford Parser)
  • Using Senna for Semantic role labelling and Part of speech tagging
  • Make PAS from SRL output
  • Features (Parse Tree, Bag of Words, Bag of Parts of Speech, Predicate Argument Structure, and TF-IDF Vector)
  • Train Tree kernel on train 5500 with 5-fold cross validation
  • Test on TREC 2010

    Example Tree from a question
    Example Tree from a question
Data: TREC 2012 for testing and training questions from "Experimental Data for Question Classification."
Folders:
  • data

    • .label (label Question)
    • .lbl (only label)
    • .q (only questions)
    • .portStem (questions after using Porter stemmer)
    • .stemmed (questions after using Paice/Husk stemmer)
Definition of Question Classes
ClassDefinition
ABBREVIATIONabbreviation
abbabbreviation
expexpression abbreviated
ENTITYentities
animalanimals
bodyorgans of body
colorcolors
creativeinventions, books and other creative pieces
currencycurrency names
dis.med.diseases and medicine
eventevents
foodfood
instrumentmusical instrument
langlanguages
letterletters like a-z
otherother entities
plantplants
productproducts
religionreligions
sportsports
substanceelements and substances
symbolsymbols and signs
techniquetechniques and methods
termequivalent terms
vehiclevehicles
wordwords with a special property
DESCRIPTIONdescription and abstract concepts
definitiondefinition of sth.
descriptiondescription of sth.
mannermanner of an action
reasonreasons
HUMANhuman beings
groupa group or organization of persons
indan individual
titletitle of a person
descriptiondescription of a person
LOCATIONlocations
citycities
countrycountries
mountainmountains
otherother locations
statestates
NUMERICnumeric values
codepostcodes or other codes
countnumber of sth.
datedates
distancelinear measures
moneyprices
orderranks
otherother numbers
periodthe lasting time of sth.
percentfractions
speedspeed
temptemperature
sizesize, area and volume
weightweight
Languages and tools used
References
Installing Third Party Software on NLTK
About
project for Natural language processing
Resources
Readme
Activity
Stars
1 star
Watchers
0 watching
Forks
1 fork
Report repository
Releases
Packages
Used by
Contributors
Languages