7 citations · 9 across the 6 of their papers we have counts for
6 papers
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations
Xinyu Liu, Yan Ding, Kaikai An +4
While state-of-the-art NLP models have demonstrated excellent performance for aspect based sentiment analysis (ABSA), substantial evidence has been presented on their lack of robus…
A call for better unit testing for invariant risk minimisation
Chunyang Xiao, Pranava Madhyastha
In this paper we present a controlled study on the linearized IRM framework (IRMv1) introduced in Arjovsky et al. (2020). We show that IRMv1 (and its variants) framework can be pot…
Grammatical Sequence Prediction for Real-Time Neural Semantic Parsing
Chunyang Xiao, Christoph Teichmann, Konstantine Arkoudas
While sequence-to-sequence (seq2seq) models achieve state-of-the-art performance in many natural language processing tasks, they can be too slow for real-time applications. One per…
Symbolic Priors for RNN-based Semantic Parsing
Chunyang Xiao, Marc Dymetman, Claire Gardent
Seq2seq models based on Recurrent Neural Networks (RNNs) have recently received a lot of attention in the domain of Semantic Parsing for Question Answering. While in principle they…
Log-Linear RNNs: Towards Recurrent Neural Networks with Flexible Prior Knowledge
Marc Dymetman, Chunyang Xiao
We introduce LL-RNNs (Log-Linear RNNs), an extension of Recurrent Neural Networks that replaces the softmax output layer by a log-linear output layer, of which the softmax is a spe…
Move from Perturbed scheme to exponential weighting average
Chunyang Xiao
In an online decision problem, one makes decisions often with a pool of decision sequence called experts but without knowledge of the future. After each step, one pays a cost based…