CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 4: Word Sense Disambiguation;...
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Transcript of CS626/449 : Speech, NLP and the Web/Topics in AI Programming (Lecture 4: Word Sense Disambiguation;...
CS626/449 : Speech, NLP and the Web/Topics in AI Programming
(Lecture 4: Word Sense Disambiguation; Wordnet)
Pushpak BhattacharyyaCSE Dept., IIT Bombay
Word Sense Disambiguation• WSD is a well know difficult problem
• Questions: Should the approach be– Knowledge based– Statistical– Combined
• Resources– Sense marked (annotated corpora)– Sense repository
• Training– Unsupervised– Supervised– Semi supervised
SynonymDistribution principle:
Words A and B are called ‘synonyms’ if their distribution is identical in a corpus. That means they can replace each other in any context. (Strong requirement – ideal)
Pure synonym:If A and B are synonyms in all context (can replace in all contexts) they are pure synonyms. It has been very difficult to find pure synonyms.
Question: How to ensure replaceability in– Syntax– Semantics– Pragmatics– Discourse
Example of replaceabilityConsider {mother, mummi, amma}
1. Syntax – yes: mother, mummi, ammi – noun: ex. Mother smiles.1. Constituent Parse Tree2. Dependency Parse
2. Semantics: (Semantic Roles) replaceable
3. Pragmatics: register (fails)1. A formal situation, ex. Dear Sir, Grant me leave for one day as my mother has to undergo an
operation2. A proverb, ex. Mother makes the nation
Register is linguistic memory specific to a situation
S
SS
SS
Mother smiles
smiles
mother
agent
Relational and Componential Semantics
Relational Semantics (Words can disambiguate each other) vs. Componential Semantics (Words need features for disambiguation)
Example
Possible Features: Animate, Human, Carnivorous, Small, Moving
Componential SemanticsSemantic Feature Vector for
cat (animal): <1,0,1,1,1>cat (expert): <1,1,U,U,1>
Relational Semanticscat (animal): {cat, feline}cat (expert): {cat, expert}
Cat
animal An expert
What is Wordnet
Wordnet
• A lexical knowledgebase based on conceptual lookup
• Organizing concepts in a semantic network.Organizing concepts in a semantic network.
• Organize lexical information in terms of word meaning, rather than word form
• Wordnet can also be used as a thesaurus.Wordnet can also be used as a thesaurus.
Psycholinguistic Theory • Human lexical memory for nouns as a hierarchy.• Can canary sing? - Pretty fast response.• Can canary fly? - Slower response.• Does canary have skin? – Slowest response.
(can move, has skin)
(can fly)
(can sing)
Wordnet - a lexical reference system based on psycholinguistic theories of human lexical memory.
Animal
Bird
canary
Lexical Matrix
Wordnet - Lexical Matrix (with examples)
Word MeaningsWord Forms
F1 F2 F3 … Fn
M1
(depend)E1,1
(bank)E1,2
(rely)E1,3
M2
(bank)E2,2
(embankment)
E2,…
M3
(bank)E3,2 E3,3
… …
Mm Em,n
Wordnet: International Scenario
• Wordnet is a network of words linked by lexical and semantic relations.
• The first wordnet in the world was for English developed at Princeton over 15 years.
• The Eurowordnet- linked structure of European language wordnets was built in 1998 over 3 years with funding from the EC as a a mission mode project.
• Wordnets for Hindi and Marathi being built at IIT Bombay are amongst the first IL wordnets.
• All these are proposed to be linked into the IndoWordnet which eventually will be linked to the English and the Euro wordnets.
Hindi Wordnet
Dravidian Language Wordnets
North East Language Wordnet
Marathi Wordnet
Sanskrit Wordnet
EnglishWordnet
Bengali Wordnet
Punjabi Wordnet
KonkaniWordnet
Linked Wordnets in India
Great Linguistic Diversity• Major streams
– Indo European– Dravidian– Sino Tibetan– Austro-Asiatic
• Some languages are ranked within 20 in the world in terms of the populations speaking them– Hindi and Urdu: 5th (~500 milion)– Bangla: 7th (~300 million)– Marathi 14th (~70 million)
Major Language Processing Initiatives
• Mostly from the Government: Ministry of IT, Ministry of Human Resource Development, Department of Sceince and Technology
• Recently great drive from the industry: NLP efforts with Indian language in focus– Google– Microsoft– IBM Research Lab– Yahoo – TCS
Fundamental Design Question
• Syntagmatic vs. Paradigmatic realtions?• Psycholinguistics is the basis of the design.• When we hear a word, many words come to our
mind by association.• For English, about half of the associated words are
syntagmatically related and half are paradignatically related.
• For cat– animal, mammal- paradigmatic– mew, purr, furry- syntagmatic
Stated Fundamental Application of Wordnet: Sense Disambiguation
Determination of the correct sense of the wordThe crane ate the fish vs.The crane was used to lift the load
bird vs. machine
The problem of Sense tagging
• Given a corpora To Assign correct sense to the words.
• This is sense tagging. Needs Word Sense Disambiguation (WSD)
• Highly important for Question Answering, Machine Translation, Text Mining tasks.
Basic Principle
• Words in natural languages are polysemous.• However, when synonymous words are put together,
a unique meaning often emerges.• Use is made of Relational Semantics.• Componential Semantics where each word is a
bundle of semantic features (as in the Schankian Conceptual Dependency system or Lexical Componential Semantics) is to be examined as a viable alternative.
Componential Semantics
• Consider cat and tiger. Decide on componential attributes.
• For cat (Y, Y, N, Y)• For tiger (Y,Y,Y,N) Complete and correct
Attributes are difficult to design.
FurryFurry CarnivoroCarnivorousus
HeavyHeavy DomesticaDomesticableble
Semantic relations in wordnet1. Synonymy2. Hypernymy / Hyponymy3. Antonymy4. Meronymy / Holonymy5. Gradation6. Entailment 7. Troponymy1, 3 and 5 are lexical (word to word), rest are semantic
(synset to synset).
Synset: the foundation(house)
1. house -- (a dwelling that serves as living quarters for one or more families; "he has a house on Cape Cod"; "she felt she had to get out of the house")2. house -- (an official assembly having legislative powers; "the legislature has two houses")3. house -- (a building in which something is sheltered or located; "they had a large carriage house")4. family, household, house, home, menage -- (a social unit living together; "he moved his family to Virginia"; "It was a good Christian household"; "I waited until the whole house was asleep"; "the teacher asked how many people made up his home")5. theater, theatre, house -- (a building where theatrical performances or motion-picture shows can be presented; "the house was full")6. firm, house, business firm -- (members of a business organization that owns or operates one or more establishments; "he worked for a brokerage house")7. house -- (aristocratic family line; "the House of York")8. house -- (the members of a religious community living together)9. house -- (the audience gathered together in a theatre or cinema; "the house applauded"; "he counted the house")10. house -- (play in which children take the roles of father or mother or children and pretend to interact like adults; "the children were playing house")11. sign of the zodiac, star sign, sign, mansion, house, planetary house -- ((astrology) one of 12 equal areas into which the zodiac is divided)12. house -- (the management of a gambling house or casino; "the house gets a percentage of every bet")
Synset: DSF format (1/2)• Synset ID: a unique number identifying a synset • Category: POS category of the words • Concept: The part of the gloss that gives a brief summary
of what the synset represents • Example: One or more examples of the words in the
synset being used in sentences • Synset: The set of synonymous words comprised in the
synset
Synset - DSF format (2/2)
ID :: 121CATEGORY :: NOUNCONCEPT :: अपने� से� छो�टों के� प्रति� हृदय में� उठने�वा�ला�
प्र�मेंEXAMPLE :: “चा�चा� ने�हरू के� बच्चों से� बहु� ह� स्ने�ह
था�”SYNSET :: स्ने�ह,ने�ह,लागा�वा,मेंमें��
Creation of Synsets
Three principles:• Minimality• Coverage• Replacability
Synset creation (continued)
HomeJohn’s home was decorated with lights on the occasion of Christmas.Having worked for many years abroad, John Returned home.
HouseJohn’s house was decorated with lights on the occasion of Christmas.Mercury is situated in the eighth house of John’s horoscope.
Synsets (continued)
{house} is ambiguous.{house, home} has the sense of a social unit living together;Is this the minimal unit?{family, house , home} will make the unit completely
unambiguous.
For coverage:{family, household, house, home} ordered according to
frequency.
Replacability of the most frequent words is a requirement.
Synset creation
From first principles– Pick all the senses from good standard
dictionaries.– Obtain synonyms for each sense.– Needs hard and long hours of work.
Synset creation (continued)
From the wordnet of another language in the same family– Pick the synset and obtain the sense from the gloss.– Get the words of the target language.– Often same words can be used- especially for t%sama
words.– Translation, Insertion and deletion.
Hindi Synset: AnauBavaI jaanakar maMjaa huAa (experienced person)
Marathi Synset: AnauBavaI t& jaaNata &ata
Gloss and ExampleCrucially needed for concept explication, wordnet building using another
wordnet and wordnet linking.
{earthquake, quake, temblor, seism} -- (shaking and vibration at the surface of the earth resulting from underground movement along a fault plane of from volcanic activity)
Semantic Relations
• Hypernymy and Hyponymy– Relation between word senses (synsets)– X is a hyponym of Y if X is a kind of Y– Hyponymy is transitive and asymmetrical– Hypernymy is inverse of Hyponymy
(lion->animal->animate entity->entity)(lion->animal->animate entity->entity)
Semantic Relations (continued)
• Meronymy and Holonymy– Part-whole relation, branch is a part of tree– X is a meronymy of Y if X is a part of Y– Holonymy is the inverse relation of Meronymy{kitchen} ………………………. {house}
Lexical Relation
• Antonymy– Oppositeness in meaning – Relation between word forms– Often determined by phonetics, word length etc.
({rise, ascend} vs. {fall, descend})
Troponym and Entailment
• Entailment {snoring – sleeping}
• Troponym {limp, strut – walk} {whisper – talk}
Entailment.
Snoring entails sleeping.Snoring entails sleeping.Buying entails paying.Buying entails paying.
• Proper Temporal Inclusion. Inclusion can be in any way.
Sleeping temporally includes snoring.Sleeping temporally includes snoring.Buying temporally includes paying.Buying temporally includes paying.
• Co-extensiveness. (Troponymy)Limping is a manner of walking. Limping is a manner of walking.
Opposition among verbs.
• {Rise,ascend} {fall,descend} Tie-untie (do-undo)
Walk-run (slow,fast)Teach-learn (same activity different perspective)Rise-fall (motion upward or downward)
• Opposition and Entailment. Hit or miss (entail aim) . Backward presupposition. Succeed or fail (entail try.)
The causal relationship.
Show- see.Give- have.
Causation and Entailment. Giving entails having. Feeding entails eating.
Kinds of AntonymySizeSize Small - BigSmall - BigQualityQuality Good Good –– Bad BadStateState Warm Warm –– Cool CoolPersonalityPersonality Dr. Jekyl- Mr. HydeDr. Jekyl- Mr. HydeDirectionDirection East- WestEast- WestActionAction Buy Buy –– Sell SellAmountAmount Little Little –– A lot A lotPlacePlace Far Far –– Near NearTimeTime Day - NightDay - NightGenderGender Boy - GirlBoy - Girl
Kinds of MeronymyComponent-Component-objectobject
Head - BodyHead - Body
Staff-objectStaff-object Wood - TableWood - TableMember-Member-
collectioncollectionTree - ForestTree - Forest
Feature-ActivityFeature-Activity Speech - Speech - ConferenceConference
Place-AreaPlace-Area Palo Alto - Palo Alto - CaliforniaCalifornia
Phase-StatePhase-State Youth - LifeYouth - LifeResource-Resource-
processprocessPen - WritingPen - Writing
Actor-ActActor-Act Physician - Physician - TreatmentTreatment
Gradation
StateState Childhood, Youth, Old Childhood, Youth, Old ageage
TemperatureTemperature Hot, Warm, ColdHot, Warm, Cold
ActionAction Sleep, Doze, WakeSleep, Doze, Wake
Gloss
study
Hyponymy
Hyponymy
Dwelling,abode
bedroom
kitchen
house,home
A place that serves as the living quarters of one or mor efamilies
guestroom
veranda
bckyard
hermitage cottage
Meronymy
Hyponymy
Meronymy
Hypernymy
WordNet Sub-Graph (English)
गा�य, गाऊ (gaaya ,gauu) Cow
चा$प�य�,पशु'(chaupaayaa, pashu)Four-legged animal
से(गावा�ला� एके शु�के�ह�री� में�द� चा$प�य�(siingwaalaa eka sakaahaarii maadaa choupaayaa)A horny, herbivorous, four-legged female animal)
पगा'री�ने� ( paguraanaa) ruminate
ब+ला (baila) Ox
के�मेंधे�ने'kaamadhenuA kind of cow
में+ने� गा�यmainii gaayaA kind of cow
थाने (thana) udder
प-.छो(puunchh ) Tail
शु�के�ह�री� (shaakaahaarii) herbivorous
Hypernym
Attribute
Hyponym
Gloss
Ability Verb
meronym
Antonym
WordNet Sub-Graph: Hindi
Wordnet Subgraph (Marathi)
खो�ड
री�ने
ब�गा
आं2ब�लिं45ब-
में -ूळ
में'ळ� ,खो�ड,फां�2द्या�,प�ने� इत्य�द<ने� य'क्त असे� वानेस्पति�तिवाशु�ष:"झा�ड� पय�Aवारीण शु'द्ध केरीण्य�चा� के�में केरी���"
झा�ड, वाEक्ष, �रू
वानेस्प��
MERONYMY
HOLONYMY
H Y P E R N Y M Y
H Y P O N Y M YGLOSS
Pan-India Dictionary StandardSenses Hindi Marathi Bangali Oriya Tamil
(W1, W2, W3, W4, W5, W6 )
(W1, W2, W3, W4, W5, W6 )
(W1, W2, W3) (W1, W2 , W3) (W1, W2, W3, W4)
(W1, W2, W3)
(sun) (सू�र्य�, सू�रज, भा�नु, भा�स्कर, प्रभा�कर,
दि�नुकर, अं�शुमा�नु, अं�शुमा�ली�) (सू�र्य�, भा�नु, दि�वा�कर, भा�स्कर, रविवा, दि�नु�शु, दि�नुमाणी�) ... ... ...
(cub, lad, laddie, sonny, sonny boy)
(लीड़क�, बा�लीक, बाच्चा�, छो�कड़�, छो�र�, छो�कर�, ली�डा� )
(मालीगा�, पो�रगा�, पो�र, पो�रगा� ) … … …
(son, boy) (पोत्र, बा�टा�, लीड़क�, ली�ली, सूत, बाच्चा�, नु��नु, पो�त, चि'र�ज�वा, चि'र�ज� )
(मालीगा�, पोत्र, ली�क, चि'र�ज�वा, तनुर्य ) … … …
Sanskrit Wordnet: a new effort- A column in the Concept based Multilingual dictionary
Concepts L1 (English) L2 (Hindi) L3 (Sanskrit)
Concept ID: Concept description
(W1, W2, W3, ..) (W4, W5, W6, ..) (W7, W8, W9, ..)
4066: any of various long-tailed primates (excluding the prosimians)
(monkey)(ब2दरी, बन्दरी, ब�नेरी,
वा�नेरी, केHशु, केतिप, मेंकेA टों, ..)
(वा�नेरीI, केतिपI, प्लावाङ्गःI, प्लावागाI, शु�खो�मेंEगाI, वाला�में'खोI, मेंकेA टोंI, ..)
2186: a typical star that is the source of light and heat for the planets in the solar system
(sun)
(से-यA,से-रीज, भा�ने', दिदवा�केरी, भा�स्केरी, प्रभा�केरी, दिदनेकेरी, रीतिवा, ..)
(से-यAI, सेतिवा��, आंदिदत्यI, मिमेंत्रःI, अरुणI, भा�ने'I, प-ष�, अकेA I, ..)
Summary
• Synsets: basic units• Principles of creation: minimality, coverage,
replaceability• Semantic relations (main ones): hypernymy
(is-a), meronymy (part-of), antomymy, troponymy (manner-of)