Yuanliang Meng

In this paper, we propose to use a set of simple, uniform in architecture LSTM-based models to recover different kinds of temporal relations from text. Expand

We propose a context-aware neural network model for temporal information extraction. Expand

We investigated the productivity of the two tone sandhi types through 48 speakers’ productions of real and nonce disyllables in Shanghai Wu and found that the spreading sandhi generally applies productively to nonce words, while the phrase-level sandhi is better interpreted as phonetic contour reduction. Expand

This paper proposes a Transformer-based model to generate equations for math word problems. Expand

We have designed an augmented reality (AR) game for children with cerebral palsy (CP) to perform home-based neurorehabilitation. Expand

The paper proposes a learning from demonstration (LfD) framework which will enable children with motor disabilities to perform neuromotor rehabilitation exercises at home- and community- settings. Expand

We propose a triad-based neural network system that generates affinity scores between entity mentions for coreference resolution. Expand

This paper presents a recurrent neural network model to automate the analysis of students’ computational thinking in problem-solving dialogue. Expand