Some questions (doubts) about STS (mostly from the perspective of distributional semantics) - PowerPoint PPT Presentation

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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? – PowerPoint PPT presentation

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


1
Some questions (doubts) about STS(mostly from
the perspective of distributional semantics)
  • Alessandro Lenci
  • University of Pisa

2
What is semantic similarity?
  • Is semantic similarity a well-grounded notion?
    Perhaps no...
  • for concepts?
  • cf. Goodmans 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.)

3
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?

4
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.

5
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
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