Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches

no code implementations • IJCNLP 2017 • Akshay Soni, Aasish Pappu, Jerry Chia-mau Ni, Troy Chevalier

In Multilabel Learning (MLL) each training instance is associated with a set of labels and the task is to learn a function that maps an unseen instance to its corresponding label set.

Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings

no code implementations • 1 Dec 2016 • Vivek Kulkarni, Yashar Mehdad, Troy Chevalier

In this paper, we propose methods to effectively adapt models learned on one domain onto other domains using distributed word representations.

Domain Adaptation named-entity-recognition +3

Noisy Inductive Matrix Completion Under Sparse Factor Models

no code implementations • 13 Sep 2016 • Akshay Soni, Troy Chevalier, Swayambhoo Jain

This paper examines a general class of noisy matrix completion tasks where the underlying matrix is following an IMC model i. e., it is formed by a mixing matrix (a priori unknown) sandwiched between two known feature matrices.

Dictionary Learning Matrix Completion +1