64 citations · 199 across the 15 of their papers we have counts for
6 papers · 1 filter
Encoding word order in complex embeddings
Benyou Wang, Donghao Zhao, Christina Lioma +3
Sequential word order is important when processing text. Currently, neural networks (NNs) address this by modeling word position using position embeddings. The problem is that posi…
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
Chen Zhang, Qiuchi Li, Dawei Song
Due to their inherent capability in semantic alignment of aspects and their context words, attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for aspec…
Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
Chen Zhang, Qiuchi Li, Dawei Song
It has been widely accepted that Long Short-Term Memory (LSTM) network, coupled with attention mechanism and memory module, is useful for aspect-level sentiment classification. How…
CNM: An Interpretable Complex-valued Network for Matching
Qiuchi Li, Benyou Wang, Massimo Melucci
This paper seeks to model human language by the mathematical framework of quantum physics. With the well-designed mathematical formulations in quantum physics, this framework unifi…
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings
Dongsheng Wang, Quichi Li, Lucas Chaves Lima +2
When the meaning of a phrase cannot be inferred from the individual meanings of its words (e.g., hot dog), that phrase is said to be non-compositional. Automatic compositionality d…
Semantic Hilbert Space for Text Representation Learning
Benyou Wang, Qiuchi Li, Massimo Melucci +1
Capturing the meaning of sentences has long been a challenging task. Current models tend to apply linear combinations of word features to conduct semantic composition for bigger-gr…