TY - GEN
T1 - Fine-Grained Named Entity Classification with Wikipedia Article Vectors
AU - Suzuki, Masatoshi
AU - Matsuda, Koji
AU - Sekine, Satoshi
AU - Okazaki, Naoaki
AU - Inui, Kentaro
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/12
Y1 - 2017/1/12
N2 - This paper addresses the task of assigning multiple labels of fine-grained named entity (NE) types to Wikipedia articles. To address the sparseness of the input feature space, which is salient particularly in fine-grained type classification, we propose to learn article vectors (i.e. entity embeddings) from hypertext structure of Wikipedia using a Skip-gram model and incorporate them into the input feature set. To conduct large-scale practical experiments, we created a new dataset containing over 22,000 manually labeled instances. The results of our experiments show that our idea gained statistically significant improvements in classification results.
AB - This paper addresses the task of assigning multiple labels of fine-grained named entity (NE) types to Wikipedia articles. To address the sparseness of the input feature space, which is salient particularly in fine-grained type classification, we propose to learn article vectors (i.e. entity embeddings) from hypertext structure of Wikipedia using a Skip-gram model and incorporate them into the input feature set. To conduct large-scale practical experiments, we created a new dataset containing over 22,000 manually labeled instances. The results of our experiments show that our idea gained statistically significant improvements in classification results.
KW - Named entity classification
KW - Wikipedia
UR - http://www.scopus.com/inward/record.url?scp=85013037426&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013037426&partnerID=8YFLogxK
U2 - 10.1109/WI.2016.0080
DO - 10.1109/WI.2016.0080
M3 - Conference contribution
AN - SCOPUS:85013037426
T3 - Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016
SP - 483
EP - 486
BT - Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016
Y2 - 13 October 2016 through 16 October 2016
ER -