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Some questions (doubts) about STS (mostly from the perspective of distributional semantics) Alessandro Lenci University of Pisa

Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics)

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Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics). Alessandro Lenci University of Pisa. What is semantic similarity?. Is semantic similarity a well-grounded notion? Perhaps no... for concepts? - PowerPoint PPT Presentation

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Page 1: Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics)

Some questions (doubts) about STS(mostly from the perspective of distributional semantics)

Alessandro Lenci

University of Pisa

Page 2: Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics)

What is semantic similarity?• Is semantic similarity a well-grounded notion?

Perhaps no...– for concepts?

• cf. Goodman’s argument that similarity is empty unless you specify “similar with respect to what”

– for lexical items?• partially

– word similarity judgments hide many different types of semantic relations (cf. Rubinstein and Goodenough)

– for phrases and sentences?• ??

– but we know some relations between sentences (e.g. entailment, contradiction, presupposition, etc.)

Page 3: Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics)

Which (basic) components for STS?

• Module for word-level semantic similarity

• Module for “compositional” semantic similarity– do we know how to project semantic

similarity from the word level to sentence or text level?

Page 4: Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics)

From semantic similarity to semantic relations (in distributional semantics)

• Lexical entailment (cf. Dagan et al.)• “Classical” semantic relations• e.g. hypernymy, antonymy, etc.

– some words are very similar under one respect (e.g. increase / decrease, open / close, etc.) but express highly dissimilar concepts, etc.

– some texts can share most of their words, and still be very different

• Most students like to go dancing on Saturday.• Few students like to go dancing on Saturday.• Most students hate to go dancing on Saturday.

Page 5: Some questions ( doubts ) about STS (mostly from the perspective of distributional semantics)

What to do?

• Prepare carefully designed and controlled data sets– explore different dimensions of variation with

respect to text similarity• function words, lexical items, syntax, etc.

– explore different types of relations between texts covered by STS

• Analyse the factors that affect the judgments of STS