activity
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 2020Show all

6 papers · 1 filter

cs.CL2020★ 4 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.LG2020

Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method

Chenguang Zhang, Yuexian Hou, Dawei Song +2

Although the deep structure guarantees the powerful expressivity of deep networks (DNNs), it also triggers serious overfitting problem. To improve the generalization capacity of DN…

cs.IR2020★ 3 cited

A Survey of Quantum Theory Inspired Approaches to Information Retrieval

Sagar Uprety, Dimitris Gkoumas, Dawei Song

Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework. Su…

cs.LG2020★ 1 cited

Assessing the Memory Ability of Recurrent Neural Networks

Cheng Zhang, Qiuchi Li, Lingyu Hua +1

It is known that Recurrent Neural Networks (RNNs) can remember, in their hidden layers, part of the semantic information expressed by a sequence (e.g., a sentence) that is being pr…

cs.CL2020★ 18 cited

End-to-end Emotion-Cause Pair Extraction via Learning to Link

Haolin Song, Chen Zhang, Qiuchi Li +1

Emotion-cause pair extraction (ECPE), as an emergent natural language processing task, aims at jointly investigating emotions and their underlying causes in documents. It extends t…

cs.IR2020

Quantum-like Structure in Multidimensional Relevance Judgements

Sagar Uprety, Prayag Tiwari, Shahram Dehdashti +4

A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. Th…