activity
20152022
most citedSemantic Hilbert Space for Text Representation Learning

47 citations · 76 across the 11 of their papers we have counts for

collaborators
Showing cs.CLShow all

10 papers · 1 filter

cs.CL20212 cited

Exploiting Position Bias for Robust Aspect Sentiment Classification

Fang Ma, Chen Zhang, Dawei Song

Aspect sentiment classification (ASC) aims at determining sentiments expressed towards different aspects in a sentence. While state-of-the-art ASC models have achieved remarkable p…

cs.CL2021

Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis

Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti +3

Video sentiment analysis as a decision-making process is inherently complex, involving the fusion of decisions from multiple modalities and the so-caused cognitive biases. Inspired…

cs.CL20204 cited

A Multi-task Learning Framework for Opinion Triplet Extraction

Chen Zhang, Qiuchi Li, Dawei Song +1

The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extract…

cs.CL201915 cited

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…

cs.CL20192 cited

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…

cs.CL2019

A Tensorized Transformer for Language Modeling

Xindian Ma, Peng Zhang, Shuai Zhang +4

Latest development of neural models has connected the encoder and decoder through a self-attention mechanism. In particular, Transformer, which is solely based on self-attention, h…