A two-step zero pronoun resolution by reducing candidate cardinality

Authors:
Kye-Sung Kim;Su-Jeong Choi;Seong-Bae Park;Sang-Jo Lee
Affiliations:
Department of Computer Engineering, Kyungpook National University, Daegu, Korea;Department of Computer Engineering, Kyungpook National University, Daegu, Korea;Department of Computer Engineering, Kyungpook National University, Daegu, Korea;Department of Computer Engineering, Kyungpook National University, Daegu, Korea
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

The high cardinality of antecedent candidates is one of the major reasons which make zero pronoun resolution difficult. To improve performance, it is necessary to reduce this cardinality before defining the features to choose the most plausible antecedent. This paper proposes a two-step method for intra-sentential zero pronoun resolution. First, the clause which contain the antecedent for a given zero pronoun is determined using structural relationships between clauses. Then, the antecedent of the zero pronoun is chosen from the noun phrases within the identified clause. The cardinality of candidates reduces to the number of antecedent candidates present in clauses. Our experimental results show that the proposed method outperforms other methods without the first step, no matter what features are used to identify antecedents.