Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. In Proceedings of the 54th Annual Meeting of the Association for ...
Aug 22, 2016 · PDF | On Jan 1, 2016, Upendra Sapkota and others published Domain Adaptation for Authorship Attribution: Improved Structural Correspondence ...
We introduce structural correspondence learning to automatically induce correspondences among features from different domains. We test our technique on part of ...
Missing: Authorship Attribution:
Our paper titled Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning was accepted to ACL 2016 and will be presented as ...
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Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. U Sapkota, T Solorio, M Montes-y-Gómez, S Bethard. ACL 16, 2016. 24 ...
This work focuses on using unlabeled data from both the source and target domains to learn a common feature representation that is meaningful across both ...
Missing: Authorship Attribution:
This work introduces structural correspondence learning to automatically induce correspondences among features from different domains in order to adapt ...
Missing: Authorship Attribution:
Our paper titled Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning was accepted to ACL 2016 and will be presented as ...
This work focuses on using unlabeled data from both the source and target domains to learn a common feature representation that is meaningful across both ...
Missing: Authorship Attribution:
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning ... Cross-Topic Authorship Attribution: Will Out-Of-Topic Data Help?