TY - GEN
T1 - On the issue of combining anaphoricity determination and antecedent identification in anaphora resolution
AU - Iida, Ryu
AU - Inui, Kentaro
AU - Matsumoto, Yuji
PY - 2005/12/1
Y1 - 2005/12/1
N2 - We propose a machine learning-based approach to noun phrase anaphora resolution that combines the advantages of previous learning-based models while overcoming their drawbacks. Our anaphora resolution process reverses the order of the steps in the classification-and-search model proposed by Ng and Cardie [12], but inherits all the advantages of that model. We conducted experiments on resolving noun phrase anaphora in Japanese. The results show that with the classification-and-search based modifications, our proposed model outperforms earlier learning-based approaches.
AB - We propose a machine learning-based approach to noun phrase anaphora resolution that combines the advantages of previous learning-based models while overcoming their drawbacks. Our anaphora resolution process reverses the order of the steps in the classification-and-search model proposed by Ng and Cardie [12], but inherits all the advantages of that model. We conducted experiments on resolving noun phrase anaphora in Japanese. The results show that with the classification-and-search based modifications, our proposed model outperforms earlier learning-based approaches.
UR - http://www.scopus.com/inward/record.url?scp=33847288785&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847288785&partnerID=8YFLogxK
U2 - 10.1109/NLPKE.2005.1598742
DO - 10.1109/NLPKE.2005.1598742
M3 - Conference contribution
AN - SCOPUS:33847288785
SN - 0780393619
SN - 9780780393615
T3 - Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
SP - 244
EP - 249
BT - Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
T2 - 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
Y2 - 30 October 2005 through 1 November 2005
ER -