%0 Generic %1 nooralahzadeh2018syntactic %A Nooralahzadeh, Farhad %A Øvrelid, Lilja %D 2018 %K 2018 classification dependency nlp nn relation semeval semeval18 tree %T Syntactic Dependency Representations in Neural Relation Classification %U http://arxiv.org/abs/1805.11461 %X We investigate the use of different syntactic dependency representations in a neural relation classification task and compare the CoNLL, Stanford Basic and Universal Dependencies schemes. We further compare with a syntax-agnostic approach and perform an error analysis in order to gain a better understanding of the results.

@misc{nooralahzadeh2018syntactic, abstract = {We investigate the use of different syntactic dependency representations in a neural relation classification task and compare the CoNLL, Stanford Basic and Universal Dependencies schemes. We further compare with a syntax-agnostic approach and perform an error analysis in order to gain a better understanding of the results.}, added-at = {2018-09-13T10:31:41.000+0200}, author = {Nooralahzadeh, Farhad and Øvrelid, Lilja}, biburl = {https://www.bibsonomy.org/bibtex/2b53519086715bab81506641866971a93/schwemmlein}, interhash = {a8b8d2428f226f08a368d2915f67c4d7}, intrahash = {b53519086715bab81506641866971a93}, keywords = {2018 classification dependency nlp nn relation semeval semeval18 tree}, timestamp = {2018-09-13T10:31:41.000+0200}, title = {Syntactic Dependency Representations in Neural Relation Classification}, url = {http://arxiv.org/abs/1805.11461}, year = 2018 }