Маркировка Последовательностей

Discriminative models have been of inter- est in the NLP community in recent years. Previous research has shown that they are advantageous over generative mod- els. In this paper, we …...

Brown clustering, an unsupervised hier- archical clustering technique based on n- gram mutual information, has proven use- ful in many NLP applications. However, most uses of Brown clustering employ the …...

AbstractImitation learning algorithms provide state-of-the-art results on many structured prediction tasks by learning near-optimal search policies. Such algorithms assume training-time access to an expert that can provide the optimal action …...

AbstractAdversarial training (AT) has shown strong regularization effects on deep learning algorithms by introducing small input perturbations to improve model robustness. In language tasks, adversarial training brings word-level robustness by …...

AbstractTechnical support problems are often long and complex. They typically contain user descriptions of the problem, the setup, and steps for attempted resolution. Often they also contain various non-natural language …...