@inproceedings{5cf276caa69142a8aadd7802cf6e4cbe,
title = "A two-step zero pronoun resolution by reducing candidate cardinality",
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.",
keywords = "candidate cardinality, hierarchy of linguistic units, relationship between clauses, zero pronoun",
author = "Kim, \{Kye Sung\} and Choi, \{Su Jeong\} and Park, \{Seong Bae\} and Lee, \{Sang Jo\}",
year = "2012",
doi = "10.1007/978-3-642-32695-0\_19",
language = "English",
isbn = "9783642326943",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "194--205",
booktitle = "PRICAI 2012",
note = "12th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2012 ; Conference date: 03-09-2012 Through 07-09-2012",
}