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Statistical Anaphora Resolution

Anaphora resolution is about linking pronouns to their corresponding nouns or noun phrases in a body of text. Explore a statistical method for accurate resolution. Understand the impact of factors like gender, animaticity, mention count, and parse probability. Improve the resolution using additional language model scores and MaxEnt based scores. Benefit from experimental results and acknowledgements.

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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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