410 citations · 964 across the 27 of their papers we have counts for
3 papers · 1 filter
Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks
Aliaksei Severyn, Alessandro Moschitti
In this paper, we propose convolutional neural networks for learning an optimal representation of question and answer sentences. Their main aspect is the use of relational informat…
Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss +5
We introduce a globally normalized transition-based neural network model that achieves state-of-the-art part-of-speech tagging, dependency parsing and sentence compression results.…
Recurrent Dropout without Memory Loss
Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth
This paper presents a novel approach to recurrent neural network (RNN) regularization. Differently from the widely adopted dropout method, which is applied to \textit{forward} conn…