Clustering Semantically Similar words
Clustering Semantically Similar Words
Clustering Semantically Similar words
PART I: Semantically Similar words PART II: Clustering
Slide 1 of 41
Clustering Semantically Similar Words
Motivation (from QA)
PART I :Similar words Motivation Distributional similarity Data Similarity Measures Output Evaluation + perform. Conclusion PART II Clustering
Question Classification
Welke tennisser ...? > person ques.
Answering 'which' questions
Welk beroep heeft Renzo Piano? De Italiaan Renzo Piano is architect.
Slide 2 of 41
Clustering Semantically Similar Words
What do we need?
PART I :Similar words Motivation Distributional similarity Data Similarity Measures Output Evaluation + perform. Conclusion PART II Clustering
....
profession
person
architect tennisplayer
...
Slide 3 of 41
Clustering Semantically Similar Words
PART I :Similar words Motivation Distributional similarity Data Similarity Measures Output Evaluation + perform. Conclusion PART II Clustering
Motivation(from parsing)
Disambiguation Coordination:
(Chirac uit Frankrijk) en Blair. Chirac uit (Frankrijk en Blair).
PP-attachment
Hij at (mie) met stokjes. Hij at (mie met stokjes).
Slide 4 of 41
Clustering Semantically Similar Words
PART I :Similar words Motivation
What do we need?
location food
...
...
mie
... France
Distributional similarity Data
profession
person
Similarity Measures
Output Evaluation + perform.
architect tennisplayer Chirac Blair
Conclusion
PART II Clustering
Slide 5 of 41
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