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Statistical Anaphora Resolution

Statistical Anaphora Resolution. Ben Handy, Tyler Hicks-Wright, Eric Schkufza. Anaphora Resolution. Given a body of text, anaphora resolution is the problem of associating pronouns with the nouns and noun phrases that they refer to.

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Statistical Anaphora Resolution

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  1. Statistical Anaphora Resolution Ben Handy, Tyler Hicks-Wright, Eric Schkufza

  2. Anaphora Resolution • Given a body of text, anaphora resolution is the problem of associating pronouns with the nouns and noun phrases that they refer to. • “Mr. Harris finally arrived in Munich on Saturday afternoon after a lengthy delay in Rome. However, he did not meet Ms. Lewis until the following morning.”

  3. Ge, Hale, Charniak, 1998 • A Statistical Approach to Anaphora Resolution • P(A(p) = a | p, h, W , t, l, sp, d, M) • Hobb’s Distance: P(dH = i | a) • Gender-Animaticity: P(p | wa) • Mention Count: P(a | ma, j) • Parse Probability: P(wa | h, t, l)

  4. Handy, Hicks-Wright, Schkufza, 2006 • Ge’s probability can be interpreted as a score • Augment that score with: • Language Model score: rates substitutions based on their grammatical correctness. • MaxEnt based score: augments Ge’s gender-animaticity score.

  5. Experimental Results

  6. Acknowledgements • Chris Manning • Bill MacCartney • apologies for the incorrect spelling in our paper

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