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20102022
most citedA Tensorized Transformer for Language Modeling

98 citations · 354 across the 31 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CL2019★ 15 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.CL2019★ 2 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.IR2019★ 1 cited

Modelling Dynamic Interactions between Relevance Dimensions

Sagar Uprety, Shahram Dehdashti, Lauren Fell +2

Relevance is an underlying concept in the field of Information Science and Retrieval. It is a cognitive notion consisting of several different criteria or dimensions. Theoretical m…

cs.IR2019★ 6 cited

ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis

Yazhou Zhang, Lingling Song, Dawei Song +3

Interactive sentiment analysis is an emerging, yet challenging, subtask of the sentiment analysis problem. It aims to discover the affective state and sentimental change of each pe…

cs.CL2019★ 98 cited

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…

quant-ph2019★ 6 cited

Quantum observation scheme universally identifying causalities from correlations

Chenguang Zhang, Yuexian Hou, Dawei Song

It has long been recognized as a difficult problem to determine whether the observed statistical correlation between two classical variables arise from causality or from common cau…